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M. Sa'dillah, Pamela Dinar Rahma und Claudius Sebi Tawong. „ANALYSIS OF THE UNSIGNALIZED INTERSECTION OF MUHARTO ROAD, KI AGENG GRIBIG ROAD, AND MAYJEND SUNGKONO ROAD“. Journal Innovation of Civil Engineering (JICE) 4, Nr. 1 (01.06.2023): 13–20. http://dx.doi.org/10.33474/jice.v4i1.19272.
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Delays that occur at intersections greatly affect the performance of the road network. The more intersections there are, the greater the delay value will be. One of the intersections in Malang City is the three unsignalized intersections of Muharto Road, Ki ageng Gribig Road, and Mayjend Sungkono Road or also called the Kedungkandang intersection which is the research location. The research aims to determine the performance and project problems at the Kedungkandang Intersection. The data used in the study include road geometric data, traffic volume, acceptance gap, population, and vehicle growth. Based on the 1997 MKJI guide, the results of the study show that the Kedungkandang intersection is included in the level of service criteria C (DS 1.52) with an intersection delay value of 23.29 sec /mp. Based on the processing of gap data with the Raff method, the gap value is 15.1 seconds for the morning, 16.3 seconds for the afternoon, and 17.2 seconds for the afternoon, thus indicating that driver behavior must wait for a gap when entering the main road. The projection results with the placement of right-turn prohibition signs and geometric widening of Muharto Road and Ki Ageng Gribig Road obtained a level of service value of B (DS 0.69) with an Intersection Delay Value of 12.40 sec/smp. Keywords: Gap Acceptance; MKJI 1997; Unsignalized Intersection; Delay.
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Li, P., Y. Li, J. Feng, Z. Ma und X. Li. „AUTOMATIC DETECTION AND RECOGNITION OF ROAD INTERSECTIONS FOR ROAD EXTRACTION FROM IMAGERY“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (21.08.2020): 113–17. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-113-2020.
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Abstract. Automatic road extraction from remote sensing imagery is very useful for many applications involved with geographic information. For road extraction of urban areas, road intersections offer stable and reliable information for extraction of road network, with higher completeness and accuracy. In this paper, a segmentation-shape analysis based method is proposed to detect road intersections and their branch directions from an image. In the region of interest, it uses the contour shape of the segmented-intersection area to form a feature vector representing its geometric information. The extracted feature vector is then matched with some template vectors in order to find the best matched intersection pattern, obtain the type of intersection and the direction of connected roads. The experimental analysis are carried out with ISPRS Vaihingen and Toronto images. The experimental results show that the proposed method can extract most of the road intersections correctly. For the Vaihingen image, the the completeness and correctness are 81% and 87%, respectfully, while for the Toronto image, the the completeness and correctness are 78% and 85%, respectfully. It can help to build more correct and complete road network.
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Sui, Haigang, Ning Zhou, Mingting Zhou und Liang Ge. „Vector Road Map Updating from High-Resolution Remote-Sensing Images with the Guidance of Road Intersection Change Detection and Directed Road Tracing“. Remote Sensing 15, Nr. 7 (30.03.2023): 1840. http://dx.doi.org/10.3390/rs15071840.
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Updating vector road maps from current remote-sensing images provides fundamental data for applications, such as smart transportation and autonomous driving. Updating historical road vector maps involves verifying unchanged roads, extracting newly built roads, and removing disappeared roads. Prior work extracted roads from a current remote-sensing image to build a new road vector map, yielding inaccurate results and redundant processing procedures. In this paper, we argue that changes in roads are closely related to changes in road intersections. Hence, a novel changed road-intersection-guided vector road map updating framework (VecRoadUpd) is proposed to update road vector maps with high efficiency and accuracy. Road-intersection changes include the detection of newly built or disappeared road junctions and the discovery of road branch changes at each road junction. A CNN-based intersection-detection network (CINet) is adopted to extract road intersections from a current image and an old road vector map to discover newly built or disappeared road junctions. A road branch detection network (RoadBranchNet) is used to detect the direction of road branches for each road junction to find road branch changes. Based on the discovery of direction-changed road branches, the VecRoadUpd framework extracts newly built roads and removes disappeared roads through directed road tracing, thus, updating the whole road vector map. Extensive experiments conducted on the public MUNO21 dataset demonstrate that the proposed VecRoadUpd framework exceeds the comparative methods by 11.01% in pixel-level Qual-improvement and 13.85% in graph-level F1-score.
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Dwi Ratnaningsih, Rudy Ariyanto, Supiyono,. „PENGARUH KEMACETAN DI SIMPANG SABILILLAH TERHADAP IMPLEMENTASI CITRA LALU LINTAS DI SIMPANG PROGRESIF“. PROKONS Jurusan Teknik Sipil 9, Nr. 2 (31.08.2015): 114. http://dx.doi.org/10.33795/prokons.v9i2.97.
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Progress of a country in line with the progress of traffic (transport). Fluency in traffic is determined by the smoothness of traffic on the road. Problems often arise on the highway is congestion at the intersection. Neither was signalized intersections and signalized intersections. Problems at the intersection is less accuracy green flame at the intersection with the number of vehicles in a segment. A road with high traffic volume vehicle green flame low while other road traffic volume small green flame length. So in a long queue roads, while other roads are deserted while still green flame. This study aims to minimize the occurrence of conflic at the intersection of green flame. Research will make iterations in the intersection, where a road section which will be nominated densely green flame, the flame of the green according to the volume of traffic on these roads. Each road will be a green flame in accordance with the volume of traffic, without having to change any program there is a change in traffic volume.The degree of saturation of the calculation obtained by ....Keywords: roads, hight traffic, progressive intersection, degree saturation
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Liu, Yizhi, Rutian Qing, Yijiang Zhao und Zhuhua Liao. „Road Intersection Recognition via Combining Classification Model and Clustering Algorithm Based on GPS Data“. ISPRS International Journal of Geo-Information 11, Nr. 9 (14.09.2022): 487. http://dx.doi.org/10.3390/ijgi11090487.
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Road intersections are essential to road networks. How to precisely recognize road intersections based on GPS data is still challenging in intelligent transportation systems. Road intersection recognition involves detecting intersections and recognizing its scope. There are few works on intersections’ scope recognition. The existing methods always focus on road intersection detection. It includes two parts: one is selecting turning points from GPS data and extracting their geometric features, another is clustering them into center coordinates of road intersections. However, the accuracy of road intersection detection still has improvement room due to two drawbacks: (1) Besides geometric features, spatial features explored from GPS data and the interactions among all features are also important to represent intersections’ semantics more accurately, and (2) How to capture the points around intersections for clustering has great impact on the accuracy of intersection detection. To solve the preceding problems, we propose a novel approach for road intersection recognition via combining a classification model and clustering algorithm based on GPS data, which involves detecting the center coordinate and computing the radius of the intersection. Firstly, we distil geometric features and spatial features from historical GPS points. These features are inputted into the Extreme Deep Factorization Machine (xDeepFM) model which is applied for capturing the GPS points nearby road intersections. Secondly, the preceding points are clustered into center coordinates of road intersections by the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN). Thirdly, we present a new method of radius computing by integrating Delaunay triangulation with circle shape structure. Experiments are carried out on the GPS data of Chengdu, China. Compared with some state-of-the-art methods, our approach achieves higher accuracy on road intersection recognition based on GPS data. The precision, recall, and f-measure of our proposed center coordinates detection method are respectively 99.0%, 92.7%, and 95.8% when the matching area’s radius is 30 m. Moreover, the error of the proposed radius calculation method is less than 26.5%.
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Zhang, Zhonggui, Yi Ming und Gangbing Song. „A New Approach to Identifying Crash Hotspot Intersections (CHIs) Using Spatial Weights Matrices“. Applied Sciences 10, Nr. 5 (29.02.2020): 1625. http://dx.doi.org/10.3390/app10051625.
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In this paper we develop a new approach to directly detect crash hotspot intersections (CHIs) using two customized spatial weights matrices, which are the inverse network distance-band spatial weights matrix of intersections (INDSWMI) and the k-nearest distance-band spatial weights matrix between crash and intersection (KDSWMCI). This new approach has three major steps. The first step is to build the INDSWMI by forming the road network, extracting the intersections from road junctions, and constructing the INDSWMI with road network constraints. The second step is to build the KDSWMCI by obtaining the adjacency crashes for each intersection. The third step is to perform intersection hotspot analysis (IHA) by using the Getis–Ord Gi* statistic with the INDSWMI and KDSWMCI to identify CHIs and test the Intersection Prediction Accuracy Index (IPAI). This approach is validated by comparison of the IPAI obtained using open street map (OSM) roads and intersection-related crashes (2008–2017) from Spencer city, Iowa, USA. The findings of the comparison show that higher prediction accuracy is achieved by using the proposed approach in identifying CHIs.
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Lu, Ting, Dan Zhao und Yanhong Yin. „An Intersection Importance Estimation Method Based on the Road Network Topology“. Open Civil Engineering Journal 12, Nr. 1 (06.07.2018): 239–49. http://dx.doi.org/10.2174/1874149501812010239.
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Introduction: The expansion of road network and continuous increase of vehicle ownership challenge the performance of routine traffic control. It is necessary to make a balanced adjustment and control from the perspective of the road network to disperse the traffic flow on the entire road network. Methods: This paper develops a method to quantify the intersections’ importance at a global level based on the road network topology, which is the location of the intersection in the road network and the structural characteristics of the intersection decided by the traffic movement. The priority order in traffic signal coordination is the sorting results of intersection’s importance. The proposed method consists of two consecutive algorithms. Firstly, the graph connectivity of network is defined based on the shortest path distance and spatial connectivity between adjacent intersections. Secondly, The Importance Estimation Model (IEM) is built, which is the function of the importance indexes of current intersection and its neighboring intersections. A simulated case of a six by eight grid network was employed to evaluate the effectiveness of the proposed method in TRANSYT. Results and Conclusion: The results show that the Importance Estimation Model (IEM) minimized the measure of effectiveness compared with the schemes obtained by the volume sorting method, the saturation degree sorting method, and the method SMOO. It also created a higher frequency of small queues than the other methods.
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Zhang, Caili, Longgang Xiang, Siyu Li und Dehao Wang. „An Intersection-First Approach for Road Network Generation from Crowd-Sourced Vehicle Trajectories“. ISPRS International Journal of Geo-Information 8, Nr. 11 (24.10.2019): 473. http://dx.doi.org/10.3390/ijgi8110473.
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Extracting highly detailed and accurate road network information from crowd-sourced vehicle trajectory data, which has the advantages of being low cost and able to update fast, is a hot topic. With the rapid development of wireless transmission technology, spatial positioning technology, and the improvement of software and hardware computing ability, more and more researchers are focusing on the analysis of Global Positioning System (GPS) trajectories and the extraction of road information. Road intersections are an important component of roads, as they play a significant role in navigation and urban planning. Even though there have been many studies on this subject, it remains challenging to determine road intersections, especially for crowd-sourced vehicle trajectory data with lower accuracy, lower sampling frequency, and uneven distribution. Therefore, we provided a new intersection-first approach for road network generation based on low-frequency taxi trajectories. Firstly, road intersections from vector space and raster space were extracted respectively via using different methods; then, we presented an integrated identification strategy to fuse the intersection extraction results from different schemes to overcome the sparseness of vehicle trajectory sampling and its uneven distribution; finally, we adjusted road information, repaired fractured segments, and extracted the single/double direction information and the turning relationships of the road network based on the intersection results, to guarantee precise geometry and correct topology for the road networks. Compared with other methods, this method shows better results, both in terms of their visual inspections and quantitative comparisons. This approach can solve the problems mentioned above and ensure the integrity and accuracy of road intersections and road networks. Therefore, the proposed method provides a promising solution for enriching and updating navigable road networks and can be applied in intelligent transportation systems.
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Wang, Gang, Yi Zhang und Geng Sheng Huang. „A Study of Signal Timing Control Based on the Collaborative Strategy of Road Green Wave Effect and Path Selection Entropy“. Advanced Materials Research 753-755 (August 2013): 1970–75. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1970.
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With the growth of urban road traffic volume and the increase of road network density, correlation between adjacent road intersections is becoming more and more obvious. An intersection traffic signal adjustment tends to affect the smooth traffic flow of a number of adjacent intersections. Its congestion may gradually spread to a few blocks and regions all around the intersection. Therefore, increasingly high demands for urban traffic signal control make a variety of advanced control technology integrated, so as to adjust the intersection control parameter and accordingly achieve a dynamic coordination control over the city traffic. Hopefully, it can satisfy traffic demands and achieve a new dynamic balance between road traffic and transport demand. This paper focuses on the signal timing control over green time extension at adjacent intersections of trunk road by using the collaborative strategy of road green wave effect and path selection entropy, in order to solve the problem of coupling between adjacent intersections, so as to realize the signal coordination control on trunk road. This algorithm makes Signal Timing more flexible.
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Ahn, Joonwoo, Yangwoo Lee, Minsoo Kim und Jaeheung Park. „Vision-Based Branch Road Detection for Intersection Navigation in Unstructured Environment Using Multi-Task Network“. Journal of Advanced Transportation 2022 (05.08.2022): 1–13. http://dx.doi.org/10.1155/2022/9328398.
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Autonomous vehicles need a driving method to be less dependent on localization data to navigate intersections in unstructured environments because these data may not be accurate in such environments. Methods of distinguishing branch roads existing at intersections using vision and applying them to intersection navigation have been studied. Model-based detection methods recognize patterns of the branch roads, but are sensitive to sensor noise and difficult to apply to various complex situations. Therefore, this study proposes a method for detecting the branch roads at the intersection using deep learning. The proposed multi-task deep neural network distinguishes the branch road into a shape of rotated bounding boxes and also recognizes the drivable area to consider obstacles inside the box. Through the output of the network, an occupancy grid map consisting of one branch road at an intersection is obtained, which can be used as an input to the existing motion-planning algorithms that do not consider intersections. Experiments in real environments show that the proposed method detected the branch roads more accurately than the model-based detection method, and the vehicle drove safely at the intersection.
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Sujatmiko, Ary, Atik Wahyuni und Sapto Budi Wasono. „Analysis of The Performance of Signaled Intersections on The Street of Kertajaya City of Surabaya“. ADRI International Journal of Engineering and Natural Science 5, Nr. 2 (30.10.2020): 7–14. http://dx.doi.org/10.29138/aijens.v5i2.9.
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Intersections are the meeting point of the road network which often creates various traffic barriers and one of them is traffic jam. Kertajaya Road intersection, Surabaya is one of the roads that connect west Surabaya - East Surabaya. During rush hour, the intersection of Kertajaya Road often experiences congestion which is caused by the growth in the number of vehicles every year which increases and is not accompanied by the construction of adequate road infrastructure. To overcome the traffic congestion and density, a good traffic management system is needed. The method used to solve problems that occur at this intersection is the Indonesian Road Capacity Manual (MKJI) method and using the Microsoft Excel 2013 program to process traffic data. Based on the results of the analysis of existing conditions in 2020 Wednesday in the level of service that is F with an average intersection delay of 246.21 sec / smp and whereas for existing conditions on Saturday the service level can be F with an average intersection delay of 216.71 sec / smp. Furthermore, repairing the intersection by rearranging the cycle time to get the level of service C with an average intersection delay of 22.52 sec / smp for Wednesday and the level of service C with an average intersection delay of 22.83 sec / smp for Saturday. By using these improvements, the intersection is analyzed using the traffic volume for the next 5 years and obtained the level of service on Wednesday intersections namely D for 2021-2025 and the level of service on Saturday intersections namely D for 2021-2025.
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Wang, Shuo, Xiao Han und Qian Wang. „Research of Urban Intersections Group Scoping Based on Simulation“. Applied Mechanics and Materials 552 (Juni 2014): 240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.552.240.
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An urban intersection group consists of a set of intersections which are geographically adjacent and strongly correlated with each other. It is an effective way to relieve traffic congestion in the networks to set the key intersection of the road network as the core, radiate outward to find the scale of its influence and divide the intersections into groups according to their relevance. Determining intersections group is the fundament of improving traffic control. Therefore, analyzing the associated features of intersections group and the research method of determining the scope of intersection group to ensure the compatibility of "time", " space" and "traffic flow", is of high research value and practical significance[1]. This paper focuses on operating characteristics of adjacent intersections with factor (CF) as indicators of the value of the associated metric of the adjacent sections and developing dynamic partitioning intersection group program in VISSIM, and take the road network near Guangzhou Road as example.
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Huang, J., M. Deng, Y. Zhang und H. Liu. „COMPLEX ROAD INTERSECTION MODELLING BASED ON LOW-FREQUENCY GPS TRACK DATA“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (12.09.2017): 23–28. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-23-2017.
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It is widely accepted that digital map becomes an indispensable guide for human daily traveling. Traditional road network maps are produced in the time-consuming and labour-intensive ways, such as digitizing printed maps and extraction from remote sensing images. At present, a large number of GPS trajectory data collected by floating vehicles makes it a reality to extract high-detailed and up-to-date road network information. Road intersections are often accident-prone areas and very critical to route planning and the connectivity of road networks is mainly determined by the topological geometry of road intersections. <b>A few studies paid attention on detecting complex road intersections and mining the attached traffic information</b> (e.g., connectivity, topology and turning restriction) from massive GPS traces. To the authors’ knowledge, recent studies mainly used high frequency (1&thinsp;s sampling rate) trajectory data to detect the crossroads regions or extract rough intersection models. <b>It is still difficult to make use of low frequency (20&ndash;100&thinsp;s) and easily available trajectory data to modelling complex road intersections geometrically and semantically</b>. The paper thus attempts to construct precise models for complex road intersection by using low frequency GPS traces. We propose to firstly extract the complex road intersections by a LCSS-based (Longest Common Subsequence) trajectory clustering method, then delineate the geometry shapes of complex road intersections by a K-segment principle curve algorithm, and finally infer the traffic constraint rules inside the complex intersections.
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Kaixi, Yang, und Li Meiqi. „Traffic Simulation, Optimization and Evaluation of Adjacent Intersections Based on VISSIM Model“. Applied Science and Innovative Research 4, Nr. 2 (21.05.2020): p53. http://dx.doi.org/10.22158/asir.v4n2p53.
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This paper mainly aims at alleviating the traffic congestion on urban roads and analyzes the traffic at adjacent intersections. First, the paper briefly introduced the VISSIM model, and then selected the traffic situation at the intersection of Weibin road and Fengcheng first road and the intersection of Weibin road and Fengcheng second road in Weiyang district of Xi’an city as research objects to simulate. Fanally, on the premise of basic meet the actual conditions, the optimization of channelization and signal timing at the intersection reduces the maximum queue length and the average stopping times of vehicles, so that the traffic of the section can run efficiently and smoothly, and provides an effective experiment for the optimization of the intersection.
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HASYIM, HASYIM, und ROHANI ROHANI. „EVALUASI TUNDAAN PADA SIMPANG EMPAT TAK BERSINYAL DI KOTA MATARAM (STUDI KASUS : SIMPANG JALAN PEJANGGIK DAN SIMPANG JALAN CATURWARGA)“. GANEC SWARA 17, Nr. 4 (01.12.2023): 2117. http://dx.doi.org/10.35327/gara.v17i4.678.
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Pejanggik intersection and Caturwarga intersection are unsignalized intersections in Mataram City. Both intersections have the same characteristics, namely they both have four arms. The location of the two intersections close together causes frequent traffic delays. For this reason, research is needed to optimize the performance of these two unsignalized intersections.The method used to analyze the two intersections is the Indonesian Road Capacity Manual (1997). The data used is primary and secondary data, such as traffic volume, capacity, degree of saturation, delays and queuing opportunities. Results of performance analysis of the Jalan Pejanggik intersection in existing conditions DS = 1.086, delay = 24.2 seconds/pcu, and queuing opportunity = 47.6%. Performance of the Caturwarga Road Intersection in existing conditions DS = 0.97, delay = 18.1 seconds/pcu and queuing opportunity = 38.54%. To improve unsignalized intersections, several alternatives are provided. The first alternative is Jalan Pejanggik Intersection DS = 1.00. delay = 19 seconds/smp and chance of queuing = 40.20%, Jalan Caturwarga DS intersection = 0.95. delay = 17 seconds/smp and chance of queuing = 36.92%. Second alternative Pejanggik Road Intersection DS = 0.97. delay = 18 seconds/smp and chance of queuing = 38.44%, Jalan Caturwarga DS intersection = 0.91. delay = 15.9 seconds/smp and chance of queuing = 33.7%
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Mendekeev, R. A., T. O. Imanaliev und N. T. Imanaliev. „ROAD INTERCHANGES, PROSPECTS FOR THEIR APPLICATION IN THE ROAD NETWORK OF BISHKEK CITY“. Herald of KSUCTA n a N Isanov, Nr. 2-2-2022 (30.04.2022): 583–92. http://dx.doi.org/10.35803/1694-5298.2022.2.583-592.
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The article provides a brief overview of the types of road junctions at different levels of intersection, their brief classification is proposed. The problematic intersections of the streets of Bishkek, where traffic jams are frequent, and similar transport interchanges are used in them, are considered. Preliminary recommendations are given to eliminate traffic jams at intersections using schemes of transport interchanges and other structures.
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Nurcahaya, Dwi Prastya, und R. Endro Wibisono. „Analisis Kinerja Lalu Lintas Simpang Tak Bersinyal untuk Penentuan Tingkat Pelayanan di Jalan Klampis Jaya Surabaya“. Proceedings Series on Physical & Formal Sciences 1 (31.10.2021): 180–84. http://dx.doi.org/10.30595/pspfs.v1i.151.
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Klampis Jaya Road, Surabaya City, has a fairly heavy traffic flow, especially during working hours. This resulted in congestion on Klampis Jaya Road and not a few motorists who violated traffic regulations such as turning around Mleto Road. This study aimed to determine the current traffic flow performance and in 2024 at the intersection on Klampis Jaya Road, Surabaya City, predicted the traffic flow performance around the road and intersection on Klampis Jaya Road Surabaya City. The research method used was non-signalized intersection analysis using the Indonesian Road Capacity Manual. The calculation of the traffic performance of the four intersections in Klampis Jaya showed the Degree of Saturation (DS) and Service Level (TP) of each intersection. Traffic performance for the four intersections in 2021 was DS = 0.752 and TP = C (Enough), with the characteristics of stable traffic flow, was restricted movement. The traffic performance for the four intersections in 2024 was DS = 0.95 and TP = D (Less), with the characteristics of traffic flow stable movement being limited.
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Yu, Jing Fei, und Li Wang. „Study on Urban Road Intersection Evaluation Based on Fuzzy Analytic Hierarchy Process and Cluster Analysis“. Applied Mechanics and Materials 71-78 (Juli 2011): 1398–402. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.1398.
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This paper choices eleven evaluation index to establish fuzzy hierarchy evaluation index system of urban road intersection based on basic facilities, operation conditions and environment level of intersection. Comprehensive evaluation modal of urban road intersection is established by calculating relative weight of every layer through applying to triangular fuzzy function. Ten intersections obtain comprehensive evaluation based on the modal established. These intersections have been clustered three clusters by K-Means Cluster method finally. It is help to manage and control the similar intersections according to cluster result.
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Ilham, Ifansul, Masril Masril und Ishak Ishak. „ANALISIS SIMPANG TIGA BERSINYAL TUGU ADIPURA KOTA PAYAKUMBUH MENGGUNAKAN METODE MKJI 1997“. Ensiklopedia Research and Community Service Review 2, Nr. 1 (29.10.2022): 173–80. http://dx.doi.org/10.33559/err.v2i1.1394.
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AbstractThe rapid growth in the number of vehicles each year is not accompanied by an increase in road infrastructure. The population of Payakumbuh which is increasing from year to year causes the need for transportation equipment to increase. 36,960 vehicles and cars pass through the streets of Payakumbuh every day. Of the 36,960 vehicles, 70% were two-wheelers and 30% were four-wheelers. Comparing road conditions and transportation facilities will cause traffic congestion, especially during peak hours, and will have an impact on increasing pollution, travel time, costs, social and actual working time. The actual capacity of all intersections is 4106 pcu/hour, the degree of saturation of all intersections can be DS = 0.25 < 0.6 so the road category is smooth. The delay time for all these intersections is Dtot = 4.66 sec/pcu and the highest queue probability at all intersections is 13.61% Keywords: Signalized intersections, road lanes, intersection performance, queuing opportunities, degree of saturation, intersection capacity
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Qin, Mengyuan. „Optimization of Intersection in Construction at Low Cost- A Case Study of the Intersection of Youyi Road and Luojiagang Road“. Highlights in Science, Engineering and Technology 37 (18.03.2023): 182–95. http://dx.doi.org/10.54097/hset.v37i.6073.
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Intersections in construction are common in China when roads in plenty of Chinese cities are under reconstruction and expansion in a large scale. As intersections are traffic hub where big traffic flows passing by, smoothness and efficiency are ought to be guaranteed in order to reduce effect caused by construction. However, plans at lower cost and more effective are appreciated because reconstructing an intersection is costly. The research analysis the current situation and raise a complete optimize plan for the crossing of Youyi Road and Luojiagang Road in order to proof there is possibility to optimize an intersection at lower cost. The research raises a feasible optimize plan for a crossing. It is feasible to cheaply optimize a crossing which still allows vehicles running while under construction.
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Bani Younes, Maram. „Assisting Drivers at Stop Signs in a Connected Vehicle Environment“. Future Internet 15, Nr. 7 (08.07.2023): 238. http://dx.doi.org/10.3390/fi15070238.
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Road intersections are shared among several conflicted traffic flows. Stop signs are used to control competing traffic flows at road intersections safely. Then, driving rules are constructed to control the competing traffic flows at these stop sign road intersections. Vehicles must apply a complete stop with no motion in front of stop signs. First to arrive, first to go, straight before turns, and right then left are the main driving rules at stop sign intersections. Drivers must be aware of the stop sign’s existence, the architecture of the road intersection, and traffic distribution in the competing traffic flows. This is to make the best decision to pass the intersection or wait for other conflicted flows to pass according to the current situation. Due to bad weather conditions, obstacles, or existing heavy vehicles, drivers may miss capturing the stop sign. Moreover, the architecture of the road intersection and the characteristics of the competing traffic flows are not always clear to the drivers. In this work, we aim to keep the driver aware ahead of time of the existing stop signs, the architecture of the road intersection, and the traffic characteristics of the competing traffic flow at the targeted destination. Moreover, the best speed and driving behaviors are recommended to each driver. This is based on his/her position and the distribution of the existing traffic there. A driving assistance protocol is presented in this paper based on vehicular network technology. Real-time traffic characteristics are gathered and analyzed of vehicles around the intersections. Then, the best action for each vehicle is recommended accordingly. The experimental results show that the proposed driving assistant protocol successfully enhances the safety conditions around road intersections controlled by stop signs. This is by reducing the percentage of accident occurrences. Fortunately, the traffic efficiency of these road intersections is also enhanced; the accident percentage is decreased by 25% upon using the proposed protocol.
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Fourati, Walid, und Bernhard Friedrich. „Trajectory-Based Measurement of Signalized Intersection Capacity“. Transportation Research Record: Journal of the Transportation Research Board 2673, Nr. 10 (18.05.2019): 370–80. http://dx.doi.org/10.1177/0361198119848412.
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Capacities of road intersections are a limiting factor and crucial for the performance of road networks. Therefore, for purposes of intersection design and of optimal signal timing, numerous methodologies have been proposed to either estimate or directly measure the capacity of single movements at road intersections. However, both model-based estimation and direct measurement suffer from the large effort that is needed to gather the relevant data. Even worse, once the data are collected they only represent a snapshot of the capacity over time. This paper proposes an alternative approach to estimate capacity of signalized road intersections over time using only automatically generated trajectories of probe vehicles. The obtained capacity can be used to evaluate the effective degree of saturation using real demand, or to assess hypothetic different conditions in demand or signaling. The cyclic operation of signalized intersections allows for the accumulation of trajectories, and thus in practical applications for the compensation of potentially low penetration rates. Within a sequential process the intersection’s cycle time and the approach green time and saturation flow rates are determined. The determination of the cycle time and the green times is based on an existing approach. The derivation of the saturation flow rates relies on its direct dependency to the saturation time headway and uses two parameters to be calibrated. Testing with a commercial dataset on an intersection in Munich produced a good signal timing estimation and saturation flow values that are comparable to a calculation based on the German guideline.
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Isradi, Muhammad, Nandhita Aulia Tarastanty, Widodo Budi Dermawan, Amar Mufhidin und Joewono Prasetijo. „Performance Analysis of Road Section and Unsignalized Intersections On Jalan Cileungsi Setu and Jalan Raya Narogong“. International Journal of Engineering, Science and Information Technology 1, Nr. 2 (03.04.2021): 72–80. http://dx.doi.org/10.52088/ijesty.v1i2.108.
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The unsignalized intersection which is located in Cileungsi District, precisely on Jalan Cileungsi Setu and Jalan Raya Narogong, is a commercial area with dense economic activity and densely populated settlements. As a result of the dense activity, congestion occurs due to the large number of vehicles passing the road, especially during peak hours, namely the morning and evening. Seeing this problem, an analysis is needed that aims to determine the volume, performance of roads, and unmarked intersections as measured by capacity, degree of saturation, and level of service. In analyzing this study using the Indonesian Road Capacity Manual (MKJI) 1997 method which will determine the performance of roads and intersections without signs. The data needed in this research are primary data in the form of geometric road data, traffic volume, vehicle speed data, and side friction. As well as secondary data in the form of location maps, land use, and population data. From the results of data analysis and processing, the busiest traffic flow at the intersection occurred on Sunday, November 15, 2020 at 17.30 - 18.30 WIB, the saturation degree value was 1.17 with LOS F. By doing an alternative solution, the saturation degree value was 0.68 and LOS B with placing signs are prohibited from stopping around intersections, and prohibiting the flow of traffic turning right either from the main road D to the Minor C road or from the Minor C road to the main road B. On Jalan Raya Narogong, the degree of saturation is 0.74 LOS C service, this shows that the road sections do not exceed the figure required by MKJI 1997, namely ≤ 0.75.
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Zhang, Yunfei, Gengbiao Tang, Xiaoliang Fang, Tao Chen, Fangbin Zhou und Yabo Luo. „Hierarchical Segmentation Method for Generating Road Intersections from Crowdsourced Trajectory Data“. Applied Sciences 12, Nr. 20 (14.10.2022): 10383. http://dx.doi.org/10.3390/app122010383.
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Maintaining the data freshness and completeness of road intersection information is the key task of urban road map production and updating. Compared to professional surveying methods, crowdsourced trajectory data provide a low-cost, wide-coverage and real-time data resource for road map construction. However, there may exist the problems of spatio-temporal heterogeneity and uneven density distribution in crowdsourced trajectory data. Hence, in light of road hierarchies, the paper proposes a hierarchical segmentation method to generate road intersections from crowdsourced trajectories. The proposed method firstly implements an adaptive density homogenization processing on raw trajectory data in order to decrease the uneven density discrepancy. Then, a hierarchical segmentation strategy is developed to extract multi-level road intersection elements from coarse scale to fine scale. Finally, the structural models of road intersections are delineated by an iterative piecewise fitting method. Experimental results show that the proposed method can accurately and completely extract road intersections of different shapes and scales, with an accuracy of about 87–90%. Particularly, the precision and recall of road intersection detection are obviously increased by about 7% and 20% by adaptive density homogenization, indicating the advantages of dealing with uneven trajectory data.
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Baldo, Nicola. „Safety Performance Functions for road intersections in the Friuli Venezia Giulia Region“. European Transport/Trasporti Europei, Nr. 77 (Mai 2020): 1–12. http://dx.doi.org/10.48295/et.2020.77.6.
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The aim of this paper was developing Safety Performance Functions (SPFs) of four different types of road intersections: unsignalized three-leg intersection, unsignalized four-leg intersection, signalized three-leg intersections, signalized four-leg intersection. The data on accidents and traffic volume of 28 intersections, which are under the jurisdiction of Friuli Venezia Giulia Strade S.p.A., were collected and analyzed. To model the empirical relation between crash frequency and traffic volume, a feed-forward artificial neural network (ANN), characterized by the hyperbolic tangent transfer function and one hidden layer, was used. SPFs of the analyzed road intersections have shown a slope reduction of the tangent line when annual average daily traffic increased on the main leg, namely, the road capacity is not able to meet the increase in the volume of traffic. As a result, this leads to a saturation that induces slowdowns with a lower probability of running into an accident.
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Kronprasert, Nopadon, Chomphunut Sutheerakul, Thaned Satiennam und Paramet Luathep. „Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand“. Sustainability 13, Nr. 22 (17.11.2021): 12722. http://dx.doi.org/10.3390/su132212722.
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In the road transport network, intersections are among the most critical locations leading to a risk of death and serious injury. The traditional methods to assess the safety of intersections are based on statistical analyses that require crash data. However, such data may be under-reported and omit important crash-related factors. The conventional approaches, therefore, are not easily applied to making comparisons of intersection designs under different road classifications. This study developed a risk-based approach that incorporates video-based traffic conflict analysis to investigate vehicle conflicts under mixed traffic conditions including motorcycles and cars in Thailand. The study applied such conflict data to assess the risk of intersections in terms of time-to-collision and conflict speed. Five functional classes of intersections were investigated, including local-road/local-road, local-road/collector, collector/arterial, collector/collector, and arterial/arterial intersections. The results showed that intersection classes, characteristics, and control affect the behavior of motorists and the safety of intersections. The results found that the low-order intersections with stop/no control are high risks due to the short time-to-collision of motorcycle-related conflicts. They generate frequent conflicts with low chance of injury. The high-order intersections with signal control are high risks due to high conflicting speeds of motorcycle–car conflicts. They generate few conflicts but at a high chance of injury. The study presents the applicability of video-based traffic conflict analysis for systematically estimating the crash risk of intersections. The risk-based approach can be deemed as a supplement indicator in addition to limited crash data to evaluate the safety of intersections. However, future research is needed to explore the potential of other road infrastructure under different circumstances.
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Alanazi, Fayez, und Ping Yi. „Control logic algorithm to create gaps for mixed traffic: A comprehensive evaluation“. Open Engineering 12, Nr. 1 (01.01.2022): 273–92. http://dx.doi.org/10.1515/eng-2022-0035.
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Abstract Over the last decade, the increase in the number of vehicles has affected traffic performance, causing traffic congestion. However, intersections, where different flows intersect, are among the primary causes of traffic congestion besides bottlenecks. Bottlenecking in the minor stream is mainly due to the extended queueing, specifically due to minimal gaps in the mainline stream as the intersection’s high priority exists with the major stream. This research aims to control connected and automated vehicles (CAVs) to help generate additional usable gaps for the minor road vehicles to enter the intersection without interrupting the mainline traffic flow. A probability function is developed to estimate the probability of CAVs creating additional usable gaps. The proposed logic is simulated in unsignalized and semi-actuated signalized intersections, and a field investigation is conducted. Simulation results show that the minor road delays and queue length are minimized without causing a significant delay to the mainline. Results show that major road interruptions are reduced at a semi-actuated signal control scenario when CAVs’ penetration increases. It can be observed that deploying CAVs in the road network with the proposed method can positively impact traffic efficiency, where the intersection’s performance and safety are improved.
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Nightingale, Ellen, Niloo Parvin, Cortney Seiberlich, Peter T. Savolainen und Michael Pawlovich. „Investigation of Skew Angle and Other Factors Influencing Crash Frequency at High-Speed Rural Intersections“. Transportation Research Record: Journal of the Transportation Research Board 2636, Nr. 1 (Januar 2017): 9–14. http://dx.doi.org/10.3141/2636-02.
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Intersections experience a disproportionate share of traffic crashes, injuries, and fatalities because of the increased number of conflicting traffic movements at these locations. These issues are particularly pronounced at rural locations where speeds are generally higher and most intersections are either stop- or yield-controlled. Ideally, intersecting roadways should be oriented at as close to a 90-degree angle as possible. However, intersection design can diverge from this preferred configuration and result in a skewed intersection. Skewed intersections have been found to cause safety and operational issues for road users. To determine the effect of intersection skewness on crash frequency, crash prediction models were estimated for rural stop-controlled intersections on high-speed two-lane highways throughout the state of Iowa. Separate analyses were conducted for three-leg and four-leg intersections. In both cases, crash frequency was estimated as a function of annual average daily traffic, skew angle, and other salient geometric characteristics. The results consistently showed crash frequency to increase with skew angle. A 10-degree deviation from 90 degrees would result in 3% more crashes at three-leg intersections and 4% more crashes at four-leg intersections. In addition, crashes were affected by the volume of heavy vehicles, whether the approaches were paved or unpaved and whether intersection lighting was present.
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Cheng, Wei, Man Rong Yuan und Jun Jun Zhao. „Study on Extenics Evaluation of the Safety for Urban Road Intersections“. Advanced Materials Research 779-780 (September 2013): 724–30. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.724.
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On the basis of the theory and method of extenics and to evaluate the safety level of urban road intersections quantitatively, those are selected that infrastructure, signal lamp, conflict rate in all 3 categories of 9 indicators, meanwhile, the matter element model of safety evaluation for urban road intersections is put forward based on extenics, and the objective assessment with multiobjects for urban road intersections safety level is transformed into the single objective decision which is convenient to be estimated and compared. Then by calculating the comprehensive correlative degree it is analyzed that each index factor has influence on intersection safety. The results of numerical analysis shows that the extension method can much better evaluate intersection safety level for improving intersection safety to provide efficient and valued basis for traffic management department to make decision.
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ROHANI, ROHANI, und HASYIM HASYIM. „TINJAUAN HAMBATAN SAMPING, KAPASITAS DAN TUNDAAN LALU LINTAS PADA SIMPANG TIDAK BERSINYAL DIKOTA MATARAM“. GANEC SWARA 17, Nr. 1 (04.03.2023): 15. http://dx.doi.org/10.35327/gara.v17i1.365.
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On several roads in the city of Mataram, such as the Dr. Wahidin road, there are many shops that do not have enough parking space, so many vehicles are parked on the shoulder of the road and even on the road. The presence of pedestrians crossing the road and the activity of vehicles entering/exiting the road affect the speed of traffic, and the capacity of the road so that at certain hours there are frequent traffic jams. This of course will have an impact on the delay at the intersection of Dr. Wahidin. As for the Caturwarga street, there are schools, hospitals and shops that do not have sufficient parking space, many vehicles that drop off and pick up passengers and vehicles that enter and leave the land use side of the road. Of course, this condition affects the smooth flow of traffic, so it has an impact on delays at the Catur Warga intersection. This study analyzes side resistance, capacity and delay at unsignalized intersections on Caturwarga and Dr. Wahidin roads. The total of this side resistance will be used to analyze how much influence it has on the delay using the 1997 MKJI method. The results of the analysis at the Catur Warga intersection have side friction, and the delays are 790.7 events/hour, 16.63 seconds/smp. Meanwhile, at the Dr. Wahidin intersection, the side friction and delays are 403.1 events/hour and 17.00 seconds/pcu, respectively. From the results of regression analysis, side barriers affect traffic delays by 89.7% and at Dr. Wahidin intersections by 79.7%. Partially at the Catur Warga intersection, the side friction variable that has the most influence on delays is Exit/Entrance Vehicles on the land use side of the road (EEV). On the Dr. Wahidin road, the side obstacle variable that has the most influence on delays is Pedestrians (PED).
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Zhang, Yi, und Geng Sheng Huang. „Based on Road Green Wave Effect of Collaborative Strategy of Signal Timing Fuzzy Control“. Applied Mechanics and Materials 321-324 (Juni 2013): 1836–41. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1836.
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With growth of Urban Road Traffic Volume and the increase of Road Network Density, correlation between adjacent road intersections is becoming more and more obvious. An intersection traffic signal adjustment tends to affect the health of a number of adjacent intersections road traffic flow. Its congestion may over time gradually spread to within a few blocks and regions all around the intersection. Therefore increasingly high demands of urban traffic signal control make a variety of advanced control technology integration, achieve the purpose to adjust a control parameter, in order to achieve dynamic coordination within the city - wide traffic control, to satisfy traffic demands, and then let the road traffic and the transport demand make a new balance. And This article introduces is the use of the green wave effect collaborative strategies adjacent green extension of fuzzy control in order to solve the problem of coupling between intersections road. This algorithm makes Signal Timing to be more flexible.
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Aramita, Bellatrix Anya, Siti Maimunah, Edi Purwanto und Frans Tohom. „Evaluation of Driver Behavior when Crossing Unsignalized Intersection from Minor Road to Major Road“. RSF Conference Series: Engineering and Technology 2, Nr. 2 (29.11.2022): 109–18. http://dx.doi.org/10.31098/cset.v2i2.564.
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An example of aggressive driving behavior is the driver who immediately commits a violation when passing through an unsignalized intersection. Aggressive driving behavior may endanger other road users. Numerous studies have demonstrated that lowering aggressive driving behavior should lower the number of fatal and serious traffic accidents. Therefore, it is crucial to concentrate on the significance of driver behavior, especially at unsignalized intersections. The purpose of this study was to investigate drivers' understanding of appropriate behavior when crossing an unsignalized intersection from a minor road to a major road, to investigate the reasons for driver violations at such intersections, and to determine the relationship between cognitive and affective factors and drivers' behavior at such intersections. This study used observation, questionnaires, and interviews as the primary data-gathering methods. While the findings of the interviews were processed using Milles Huberman's theory, the questionnaire data were examined using multiple linear regression. The study's findings suggest that most drivers understand appropriate behavior while maneuvering from a minor to a major road; however, observational data reveals that 46.38% of drivers do not act on their understanding. Additionally, the driver's actions, such as feeling safe and being too indolent to stop the car, contributed to the infraction. The analysis's results also show that cognitive and affective elements favorably influence drivers' decisions at unsignalized intersections.
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Distefano, Natalia. „Physiological and driving behaviour changes associated to different road intersections“. European Transport/Trasporti Europei, Nr. 77 (Mai 2020): 1–12. http://dx.doi.org/10.48295/et.2020.77.4.
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Road traffic injuries claim more than 1.2 million lives each year in the world and have a huge impact on health and development. It is commonly acknowledged that the human factor and the interaction between the human factor and the road environment are among the most common causes of road accidents. Intersections are among the most complex road environments: their geometric and traffic characteristics weigh the driver workload, affecting the driving behaviour and consequently the risk of accident. This study intends therefore to contribute for a better understanding of the relationship between different types of intersection and the human factor. The ultimate aim is to understand how at grade intersections affect the driving behaviour by comparing the drivers’ stress level for roundabouts and standard intersections. Electrodermal activity can provide a real-time assessment of the driver's stress level. Electrodermal activity was therefore collected continuously during a driving study which took place on a test environment based at Cranfield University and surrounding roads. Twenty participants were involved within the study. The analysis focused on four crossing manoeuvres on three at grade intersections (two T-junctions and a roundabout) situated on the study location. Results showed that the number of SCR peaks as well as the amplitude of the peaks are overall higher for the two manoeuvres on the roundabout. The stress level induced by each type of intersection was evaluated through an Electrodermal Impact Index which takes into account both the number and the amplitude of SCR peaks. Results suggested that the stress level induced by roundabouts is more than double that induced by standard intersections.
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Alghafli, Abdulla, Effendi Mohamad und Al Zaidy Ahmed. „The Effect of Geometric Road Conditions on Safety Performance of Abu Dhabi Road Intersections“. Safety 7, Nr. 4 (21.10.2021): 73. http://dx.doi.org/10.3390/safety7040073.
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Abu Dhabi’s government has taken several initiatives to improve the safety of the city’s highways, such as reducing traffic accident occurrence, red light violations, and property damage associated with traffic accidents. However, the intersections are still associated with many severe accidents, property damage associated with accidents, and red light violations. To help authorities pinpoint the major contributors to the deterioration of the safety performance of the signalized junctions, this study employed a negative binomial regression model to investigate the effect of geometric road conditions (in terms of the number of lanes of streets found in four-leg, three-leg, and different types of intersection) on property damage, red light violations, and severe accidents as safety performance indicators. The research found that, in both three-leg and four-leg intersections, most accidents and traffic light violations occur when minor streets pass through the intersection. This can be solved by converting these minor streets into major streets by increasing the number of lanes. This way, the capability of the minor street’s handling of increased traffic from the major streets significantly increases. The results also show that traffic speed is a major contributor to safety performance deterioration in these intersections. This can be solved by posting speed limits at these intersections. Results have also shown that, in Direction 1, when the main street passes through the intersection, the property damage type of accident is significantly high. This may be due to the presence of a potentially hazardous property or road design flaws on that side of the road. This effect needs further investigation to determine the hazardous property or the road design flaws causing these accidents.
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Ju, Ziyan, und Muqing Du. „Hyperpath Searching Algorithm considering Delay at Intersection and Its Application in CVIS for Vehicle Navigation“. Journal of Advanced Transportation 2022 (09.03.2022): 1–15. http://dx.doi.org/10.1155/2022/2304097.
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The periodic change of intersection signals in urban road systems is the leading cause of uncertain delays. Therefore, aiming to minimize the travel time on the road segments and the expected delay at the intersections, a hyperpath search method based on intersection signal timing is proposed. The expanded network representation is used to capture the different turning delays at intersections. According to the intersection signal timing, the maximum waiting time of each turn and the turning movement ratio is obtained. A “recommendation priority passable phase” guidance strategy is proposed for the cooperative vehicle-infrastructure system (CVIS) based on the optimal hyperpath. The simulation experiments show that the vehicles can shift the driving route in the hyperpath set according to the guidance strategy, which effectively reduces the actual delay at intersections, and further realize an optimized distribution of traffic flows in the road network.
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Canale, Sascia, Natalia Distefano und Salvatore Leonardi. „Comparative analysis of pedestrian accidents risk at unsignalized intersections“. Baltic Journal of Road and Bridge Engineering 10, Nr. 4 (15.12.2015): 283–92. http://dx.doi.org/10.3846/bjrbe.2015.36.
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More than one accident of three that involve pedestrians in urban area occurs at road intersections. The users’ inproper behaviour, the geometrical characteristics of the intersections, and the high speeds of vehicles are the main causes of pedestrian accidents. In this field, the procedures of road safety analysis (Road Safety Audit and Road Safety Review) play a fundamental role: they are the techniques of investigation aimed at identifying the safety issues and the possible improvements. Nowadays, however, the safety analysis does not allow a quantitative assessment of the level of safety regarding pedestrians. The objective of this work, is to propose a procedure for the quantitative risk analysis. The first phase of the study has been oriented to the definition of the virtual schemes associated with the possible configurations for unsignalized intersections in urban areas, predominantly characterized by local roads. The urban areas in which the residential function prevails, while it is poorly available in the circulation function, were considered then. The criteria, aimed at the characterization of the level of safety, offered to pedestrians by the real urban intersections, have been developed in the second phase. For this purpose, three categories of information have been useful: 1) the data describing the geometry characteristic of the intersection; 2) the geometric characteristic of road elements responsible of the functional pedestrian protection; 3) vehicular and pedestrian traffic data.
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N., Praveen Kumar, Nandini C., R. Saranya und Sridevi N. H. „Impact of pedestrian crossing behavior at intersections on road traffic accidents in Shivamogga, Karnataka: an observational study“. International Journal Of Community Medicine And Public Health 5, Nr. 6 (22.05.2018): 2437. http://dx.doi.org/10.18203/2394-6040.ijcmph20182173.
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Background: Every year about 1.25 million people die as a result of road traffic injuries and half of those dying on the world’s roads are “vulnerable road users” like pedestrians, cyclists and motorcyclists. The objectives of the study were to assess the demographic characteristics of pedestrians and its effects on their crossing behavior and to identify the impact of technological and social distractions among pedestrians on road traffic accidents.Methods: A community based, observational study was conducted for the duration of 2 weeks from 15-Aug-2017 to 30-Aug-2017, all major Pedestrian traffic generating intersections of Shivamogga city were identified; among them three intersections were selected by simple random sampling. Data was collected for 5 days at each intersection for all the three intersections. Convenient sampling was used for sample size. Data on demographic and behavioral information for each pedestrian were recorded. Data was analyzed using SPSS 21 software.Results: Crossing behaviors of 468 pedestrians at Intersections were recorded. The majority (46.6%) of pedestrians were in the 25–44 year age category, more than half of the pedestrians observed were males (60.9%). Approximately 22.6% of pedestrians observed performed a distracting activity while crossing. Most of the pedestrians crossed the road by hesitating (32.1%) and by running (28.2%). Pedestrians with technological and social distractions were more prone for road traffic injuries (χ2=31.59, df=4, p=0.001).Conclusions: There is a need to implement pedestrian safety rules and to provide facilities for pedestrians in the infrastructure of roads in India and effective interventions to protect pedestrians.
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Satiennam, Thaned, Atthapol Seedam, Thana Radpukdee, Wichuda Satiennam, Warasak Pasangtiyo und Yoshihiko Hashino. „Development of On-Road Exhaust Emission and Fuel Consumption Models for Motorcycles and Application through Traffic Microsimulation“. Journal of Advanced Transportation 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/3958967.
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This study developed on-road exhaust emission and fuel consumption models for application in traffic microsimulations to estimate motorcycle emissions and fuel consumption in an Asian developing city. The motorcycle onboard measurement system was developed to instantaneously measure and continuously record on-road driving data, including the speed-time profile, exhaust emissions, and fuel consumption per second. The test motorcycle was driven on roads around Khon Kaen City, Thailand, to collect on-road driving data during the morning peak hours for a total of 112 hours. The collected on-road driving data were applied to develop on-road exhaust emission and fuel consumption models using regression analysis. The models were developed with high correlations among the amount of exhaust emissions and fuel consumption and the instantaneous speed and acceleration rate. The developed models were applied with a traffic microsimulation to evaluate the exclusive zone for motorcycles stopping at a signalized intersection. The evaluation results reveal that it could improve the level of intersection service by decreasing travel times, delays, and queue lengths at intersections, as well as by reducing the fuel consumption and emissions of vehicles travelling through intersections compared with these values under the existing conditions.
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Pratelli, Antonio, Pietro Leandri, Rosaria Aiello und Reginald Roy Souleyrette. „Intersection Redesign for Network Resilience and Safety“. Promet - Traffic&Transportation 33, Nr. 2 (06.04.2021): 297–308. http://dx.doi.org/10.7307/ptt.v33i2.3554.
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This paper describes a procedure for improving the resilience of roadway networks. A methodology is outlined that develops a time-dependent and performance-based resilience index. This methodology was applied to an Italian road, with the aim of optimizing intersections that are critical due to inadequate baseline capacity. The methodology uses a calibrated microscopic traffic model (using Aimsun™) whereby average delay at intersection approaches are estimated by an analytical model. From the simulation, average speed over time is obtained for each approach. These values in turn are used as inputs for calculating each intersection’s resilience index. The procedure allows the identification of less resilient intersections, and provides design solutions for each of them. Lastly, a safety assessment is tested for one of the intersections.
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Popovych, Natalia, Olha Belenchuk und Yevhen Tepliuk. „IMPROVING TRAFFIC SAFETY AT INTERSECTIONS“. Dorogi i mosti 2023, Nr. 28 (14.12.2023): 234–41. http://dx.doi.org/10.36100/dorogimosti2023.28.234.
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Introduction. A significant share of traffic accidents occurs precisely at intersections and junctions Therefore, there is a need to increase road safety on them, taking into account modern requirements and best global practice, namely the organization of roundabouts at intersections Problem Statement. The increase in the car fleet is significantly ahead of the rate of growth of the road network. In this regard, traffic conditions worsen, the number of traffic accidents increases, the capacity of roads decreases, which leads to a decrease in road efficiency and an increase in the cost of road transportation. In such conditions, the issue of increasing road safety, in particular at intersections, becomes especially urgent. Purpose. Study of traffic safety at intersections, determination of the causes of traffic accidents and formulation of proposals to reduce their number. Materials and methods. In the article, the method of statistical data processing was used to analyze traffic safety on highways. Results. The causes of traffic accidents were analyzed, in particular at intersections, and it was determined that roundabouts are safer than other types of intersections.
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Motylewicz, Marek, und Władysław Gardziejczyk. „Road traffic noise in areas surrounding intersections“. Budownictwo i Architektura 13, Nr. 1 (11.03.2014): 137–47. http://dx.doi.org/10.35784/bud-arch.1934.
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Over the period of the last few years special attention has been paid to the issue of protecting built-up areas against excessive traffic noise. Prediction and assessment of the level of noise in areas surrounding intersections was of primary interest to the researchers. Studies in this field have been carried out in numerous research centers in Poland and around the world. Existing noise prediction models describe the noise level in areas close to intersections with different degree of accuracy, depending on the number and type of factors included in the model. The paper presents the results of studies on the equivalent noise level in the surroundings of various types of intersections. It shows the impact of the following factors on traffic noise: geometry, traffic organization, traffic composition and distribution as well as the distance from the intersection. It was stated that apart from the basic traffic parameters (intensity and composition) and the characteristics of entries, some factors, including intersection geometry, organization and management of traffic and the traffic conditions should be analysed in greater detail.
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Yu, Jing Fei, Li Wang, Xin Jie Zhang und Xiu Ling Gong. „Delay Analysis and Application of Signal Control Intersections“. Advanced Materials Research 1030-1032 (September 2014): 2191–94. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2191.
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This paper analyzes the vehicle blocked process of urban signal control intersections and the survey methods of intersection delay. The license plate method and the point sample method have been selected as investigation method of signal control intersections in many ways. The delay time of Youyi avenue road and Minzu east road intersection in Baotou was analyzed and calculated by survey data. The data indicates the calculation results of two survey method are consistent with the actual experience of driver.
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Wibisono, R. Endro, und Miftachul Huda. „Studi Karakteristik Arus Lalulintas Simpang Tak Bersinyal Jalan Menur Pumpungan Surabaya“. Ge-STRAM: Jurnal Perencanaan dan Rekayasa Sipil 3, Nr. 2 (30.09.2020): 76. http://dx.doi.org/10.25139/jprs.v3i2.2844.
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Phase determination and traffic control systems are usually more emphasized at locations where road intersections or intersections occur. Because at the meeting of two or more roads this results in a point of conflict that ultimately results in traffic jams. The purpose of this study is to overcome the traffic congestion on Jalan Menur Pumpungan required a good traffic regulation in terms of the level of service and safety for motorists. The method used unsigned intersection performance in this study refers to the source of the Indonesian Road Capacity Manual (MKJI 1997). The results of this study indicate the degree of saturation of the Menur Pumpungan Intersection in 2019 DS is 0.58. For forecasting the coming year in 2021 DS will be 0.75. While in 2031 DS 0.95. Level of service (Los) for each intersection in 2019 is DS = 0.58 and Los = C (Enough), in 2021 it is DS = 0.75 Los = C (Enough), while in 2031 it is DS = 1.211 and Los = D (Less).
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Hrytsun, Oleh, und Romana Bura. „Capacity increasing of arterial streets with controlled motion“. Transport technologies 2021, Nr. 1 (18.06.2021): 25–38. http://dx.doi.org/10.23939/tt2021.01.025.
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The problem of capacity increasing of arterial streets with controlled motion is investigated in this paper. For investigation, sections between intersections on the road network of Lviv city were chosen at their different length and roadway width with most saturated traffic. Methods of capacity increasing of arterial streets with controlled motion and factors that have impact on the capacity reduction are analyzed. Capacity of intersections at different volume-capacity ratios is determined. The distribution of average speed for sections between intersections of different length is built. It is established that on sections of medium length between signalized intersections and the high volume-capacity ratio, the speed of traffic flow does not reach maximum values. It is possible to increase the speed and the capacity of sections between intersections by increasing their length, sufficient for flow acceleration to the maximal constant speed and further braking before the intersection. To determinate the recommended speed of movement on arterial directions, road conditions are taken into account, which are formed with simultaneous impact of several factors: volume-capacity ratio of intersection in braking zone, volume-capacity ratio of intersection in acceleration zone, the number of lanes, the length of the section between intersections and the average speed of the traffic flow. It is determined that the average speed of traffic flow on short sections between intersections (the length less than 300 m) is 27 – 33 km/h, on sections of medium length – 35 – 38 km/h/ Such speed will allow to traffic flow reaching the line of constant movement in given road conditions. Conducted research allows taking into account road traffic conditions while justifying the calculating speed of traffic flow, in result of which capacity of arterial streets of controlled motion increases.
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Turner, Shane, Fergus Tate und Graham Wood. „The crash performance of seagull intersections and intersections with left turn slip lanes“. Journal of the Australasian College of Road Safety 30, Nr. 3 (01.08.2019): 37–47. http://dx.doi.org/10.33492/jacrs-d-18-00111.
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Alternative intersection layouts may reduce traffic delays and/or improve road safety. Two alternatives are reviewed in this research: ‘priority-controlled Seagull intersections’ and ‘priority-controlled intersections with a Left Turn Slip Lane’. Seagull intersections are used to reduce traffic delays. Some do experience high crash rates, however. Left Turn Slip Lanes allow turning traffic to move clear of the through traffic before decelerating, thereby reducing the risk of rear-end crashes. Although there is debate about the safety problems that occur at Seagull intersections and Left Turn Slip Lanes there has been very little research to quantify the safety impact of different layouts. In this study, crash prediction models have been developed to quantify the effect of various Seagull intersection and Left Turn Slip Lane designs on the key crash types that occur at priority intersections. The analysis showed that seagulls are not safe on 4-lane roads, that roadway features like kerb-side parking and nearby intersections can increase crash rates and that left turners in LTSLs can restrict visibility and create safety problems.
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Polus, Abishai, und Ronen Cohen. „Operational Impact of Split Intersections“. Transportation Research Record: Journal of the Transportation Research Board 1579, Nr. 1 (Januar 1997): 73–78. http://dx.doi.org/10.3141/1579-09.
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High volumes at urban and suburban intersections may cause considerable delay to vehicles during the peak periods, particularly when the left-turning volume is combined with high through volumes in both directions. The operational impact resulting from converting a major conventional cross intersection into two smaller signalized intersections is analyzed and evaluated. The two intersections are constructed along the minor road, allowing the left-turn movement from the major road to operate simultaneously with the through movement and to be stored in more lanes on the minor road. The general advantages and disadvantages of a split intersection are discussed. It is shown that the split increases capacity because of better efficiency resulting from ( a) the smaller geometry of each intersection, which reduces “lost time,” compared to the geometry of a single larger intersection, ( b) a reduction in the number of signal phases from four to three and an increase in the effective green time for all movements, and ( c) an increase in the number of lanes available for storage of the left-turn movement. It is also shown that delay is reduced, particularly when the flow is close to saturation. The impact of the cycle length and the left-turn volume is evaluated. Further analysis ascertains the minimum distance between the two smaller intersections under two scenarios: ( a) a minimum distance for storage of the left-turn movement and ( b) a longer distance to reduce delays and to allow for the simultaneous start of the green time for the through movements in the two intersections. It is concluded that the longer distance is feasible mainly for new intersections in suburban areas where the right of way is available.
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Sharafeldin, Mostafa, Ahmed Farid und Khaled Ksaibati. „A Random Parameters Approach to Investigate Injury Severity of Two-Vehicle Crashes at Intersections“. Sustainability 14, Nr. 21 (25.10.2022): 13821. http://dx.doi.org/10.3390/su142113821.
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Roadway intersections are crash-prone locations and, hence, ensuring the safety of road users at intersections has been a major concern for transportation professionals. It is critical to identify the risk factors that contribute to severe crashes at intersections to implement the appropriate countermeasures. Greater emphasis is needed on two-vehicle crashes since they represent the majority of intersection crashes. In this study, a random parameter ordinal probit model was developed to estimate the contributing factors of injury severity of two-vehicle crashes at intersections. Nine years of intersection crash data in Wyoming were analyzed in this model. The study involved the investigation of the influence of a set of intersection, drivers, environmental, and crash characteristics on crash injury severity. The results demonstrated urban and signalized intersections were related to lower severity levels. In addition, higher pavement friction is more likely to be associated with less severe crashes. Crashes that involved drivers who are females or impaired and crashes on weekends were associated with higher severity levels. Intersection crashes that occurred on non-dry road surfaces, in adverse weather conditions, or that involved large vehicles, or out-of-state drivers were less likely to be severe.
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Adachi, Miho, Kazufumi Honda und Ryusuke Miyamoto. „Turning at Intersections Using Virtual LiDAR Signals Obtained from a Segmentation Result“. Journal of Robotics and Mechatronics 35, Nr. 2 (20.04.2023): 347–61. http://dx.doi.org/10.20965/jrm.2023.p0347.
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We implemented a novel visual navigation method for autonomous mobile robots, which is based on the results of semantic segmentation. The novelty of this method lies in its control strategy used for a robot during road-following: the robot moves toward a target point determined through semantic information. Previous implementations of the method sometimes failed to turn at an intersection owing to a fixed value of the turning angle. To address this issue, this study proposes a novel method for turning at an intersection using a control method based on a target point, which was originally developed for road-following. Here, an intersection is modeled as consisting of multiple straight roads. Evaluation using the CARLA simulator showed that the proposed method could accurately estimate the parameters representing a virtual road composing an intersection. In addition, run experiments conducted at the Ikuta Campus of Meiji University using an actual robot confirmed that the proposed method could appropriately make turns at intersections.
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Wu, Lei, Yong Tang, Pei Zhang und Ying Zhou. „Spatio-Temporal Heterogeneous Graph Neural Networks for Estimating Time of Travel“. Electronics 12, Nr. 6 (08.03.2023): 1293. http://dx.doi.org/10.3390/electronics12061293.
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Estimating Time of Travel (ETT) is a crucial element of intelligent transportation systems. In most previous studies, time of travel is estimated by identifying the spatio-temporal features of road segments or intersections independently. However, due to continuous changes in road segments and intersections in a path, dynamic features should be coupled and interactive. Therefore, employing only road segment or intersection features is inadequate for improving the accuracy of ETT. To address this issue, we proposed a novel deep learning framework for ETT based on a spatio-temporal heterogeneous graph neural network (STHGNN). Specifically, a heterogeneous traffic graph was first created based on intersections and road segments, which implies an adjacency correlation. Next, a learning approach for spatio-temporal heterogeneous convolutional attention networks was proposed to obtain the spatio-temporal correlations of joint intersections and road segments. This approach integrates temporal and spatial features. Finally, a fusion prediction approach was employed to estimate the travel time of a given path. Experiments were conducted on real-world path datasets to evaluate our proposed model. The results showed that STHGNN significantly outperformed the baselines.
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Isradi, Muhammad, Natasha Diaz Nareswari, Andri Irfan Rifai, Amar Mufhidin und Joewono Prasetijo. „Performance Analysis of Road Section and Unsignalized Intersections in Order to Prevent Traffic Jams on Jl H. Djole – Jl. Pasar Lama“. ADRI International Journal of Civil Engineering 6, Nr. 1 (07.01.2022): 56–67. http://dx.doi.org/10.29138/aijce.v6i1.21.
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The unsignalized intersection of Jalan H Djole – Jalan Pasar Lama is located in Bekasi City is a commercial area with densely populated settlements and dense economic activity every day. Lack of facilities and infrastructure led to traffic jams on the intersection. A analysis is needed that aims to determine the volume of the vehicle, the performance of road sections and intersections which are measured based on capacity, degree of saturation, and level of service. And then alternative solutions to improve the performance of these roads and intersections.
The analytical method used is the Indonesian Road Capacity Manual 1997. The data required in this study are primary data in the form of road geometric data, traffic volume, vehicle speed data and side friction data. As well as secondary data such as location maps, land use, and population data. Based on the results of the analysis that has been carried out, the highest traffic volume at the intersection occurs on Friday, 17.00 - 18.00 WIB, with a DS value of 1.06 and LOS F. Alternative solutions that can be given at the intersection are vehicles on minor roads A and C You can only turn left, with the alternative solution, the DS values are 0.73 and LOS C. Whereas on the roads it has DS values of 0.71 and LOS C. An alternative solution that can be given to roads is to reduce the level of side friction around the segment. Street. With this alternative solution, the DS value is 0.65 and LOS B.