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Journal articles on the topic 'Urban road link'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Wang, Bin, Xiaoxia Pan, Yilei Li, et al. "Road network link prediction model based on subgraph pattern." International Journal of Modern Physics C 31, no. 06 (2020): 2050083. http://dx.doi.org/10.1142/s0129183120500837.

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Urban road network (referred to as the road network) is a complex and highly sparse network. Link prediction of the urban road network can reasonably predict urban structural changes and assist urban designers in decision-making. In this paper, a new link prediction model ASFC is proposed for the characteristics of the road network. The model first performs network embedding on the road network through road2vec algorithm, and then organically combines the subgraph pattern with the network embedding results and the Katz index together, and then we construct the all-order subgraph feature that i

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Zhang, Guoxiang. "Research on Construction Technology and Management Measures of Urban Road Subgrade." Urban Transportation & Construction 6, no. 3 (2020): 53. http://dx.doi.org/10.18686/utc.v6i3.92.

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<p>With the rapid development of modern economy, the scale of cities is constantly expanding and the population is constantly growing. Strengthening urban construction has become one of the important work contents of socialist modernization in China. To build a modern city, road construction is the key work of urbanization. Subgrade is the most important construction link in urban road construction and the important foundation of road engineering. In this paper, combined with the specific conditions of urban roads, the construction technology and management measures of urban road subgrad

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Tian, Yulin, Xiaoming Liu, Zhen Li, Shaohu Tang, Chunlin Shang, and Lu Wei. "Identification of Critical Links in Urban Road Network considering Cascading Failures." Mathematical Problems in Engineering 2021 (April 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/9994347.

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The identification of critical road links is greatly important to the management and control of the transportation system. Existing works fail to fully consider the influence of the distribution of traffic flow and its dynamic characteristics on critical road link identification. In this paper, we propose a criticality calculation method for urban road networks considering the effect of cascading failures which models the distribution change of traffic flow after a specific road link failed. Firstly, a sequence diagram calculation method is proposed to model how the traffic failure on one road

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Gu, Yiming, Zhen (Sean) Qian, and Guohui Zhang. "Traffic State Estimation for Urban Road Networks Using a Link Queue Model." Transportation Research Record: Journal of the Transportation Research Board 2623, no. 1 (2017): 29–39. http://dx.doi.org/10.3141/2623-04.

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Traffic state estimation (TSE) is used for real-time estimation of the traffic characteristics (such as flow rate, flow speed, and flow density) of each link in a transportation network, provided with sparse observations. The complex urban road dynamics and flow entry and exit on urban roads challenge the application of TSE on large-scale urban road networks. Because of increasingly available data from various sources, such as cell phones, GPS, probe vehicles, and inductive loops, a theoretical framework is needed to fuse all data to best estimate traffic states in large-scale urban networks.

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Huang, Shichen, Chunfu Shao, Juan Li, et al. "Feature Extraction and Representation of Urban Road Networks Based on Travel Routes." Sustainability 12, no. 22 (2020): 9621. http://dx.doi.org/10.3390/su12229621.

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Extraction of traffic features constitutes a key research direction in traffic safety planning. In previous traffic tasks, road network features are extracted manually. In contrast, Network Representation Learning aims to automatically learn low-dimensional node representations. Enlightened by feature learning in Natural Language Processing, representation learning of urban nodes is studied as a supervised task in this paper. Following this line of thinking, a deep learning framework, called StreetNode2VEC, is proposed for learning feature representations for nodes in the road network based on

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Tian, Zhao, Wei She, Shuang Li, et al. "Key links identification for urban road traffic network based on temporal-spatial distribution of traffic congestion." Modern Physics Letters B 33, no. 25 (2019): 1950307. http://dx.doi.org/10.1142/s021798491950307x.

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Traffic congestion is now nearly ubiquitous in many urban areas. The improvement of road infrastructure is an effective way to ease traffic congestion, especially the key road links. So, it is a fundamental and important step to identify the key link for improving transportation efficiency. However, most approaches in the current literature use simulated data and need many assumption conditions. The result shows the low comprehensibility and the bad exactitude. This paper provides a new identification method of key links for urban road traffic network (URTN) based on temporal-spatial distribut

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Yang, Daoyuan, Shaojun Zhang, Tianlin Niu, et al. "High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets." Atmospheric Chemistry and Physics 19, no. 13 (2019): 8831–43. http://dx.doi.org/10.5194/acp-19-8831-2019.

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Abstract. On-road vehicle emissions are a major contributor to elevated air pollution levels in populous metropolitan areas. We developed a link-level emissions inventory of vehicular pollutants, called EMBEV-Link (Link-level Emission factor Model for the BEijing Vehicle fleet), based on multiple datasets extracted from the extensive road traffic monitoring network that covers the entire municipality of Beijing, China (16 400 km2). We employed the EMBEV-Link model under various traffic scenarios to capture the significant variability in vehicle emissions, temporally and spatially, due to the r

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Sohrab, Seyedehmehrmanzar, Nándor Csikós, and Péter Szilassi. "Connection between the Spatial Characteristics of the Road and Railway Networks and the Air Pollution (PM10) in Urban–Rural Fringe Zones." Sustainability 14, no. 16 (2022): 10103. http://dx.doi.org/10.3390/su141610103.

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Atmospheric particulate matter (PM10) is one of the most important pollutants for human health, and road transport could be a major anthropogenic source of it. Several research studies have shown the impact of roads on the air quality in urban areas, but the relationship between road and rail networks and ambient PM10 concentrations has not been well studied, especially in suburban and rural landscapes. In this study, we examined the link between the spatial characteristics of each road type (motorway, primary road, secondary road, and railway) and the annual average PM10 concentration. We use

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Mirza Vilayath Ali Baig, Dr. B. Sridhar, and Dr. K. M. Lakshmana Rao. "Urban Roads Insight on Weighing Parametric Analysis with Fractal Dimension to Assess the Level of Service of Causative Convergence." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 01 (2025): 16–23. https://doi.org/10.47392/irjaem.2025.0005.

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Urban Traffic Congestion continuing to be major problem in urban areas and is being considered as a perineal issue for transport planners and traffic engineers for designing the mitigation measure and strategy to counter. For any mitigation measure to be proposed or designed, it is necessary to measure the congestion and identify the factors that are causing the congestion. The urban road network and the factors causing the urban traffic congestion are no more characteristic in nature. Instead, they are inconsistent and irregular in characteristics, exhibiting the scale variance when measured

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Yu, Yi, Liang Wang, Xianglun Mo, Yao Yu, and Mei liu. "Macroscopic Fundamental Diagram based Road Network Characteristics Identification and Simulation." E3S Web of Conferences 165 (2020): 04051. http://dx.doi.org/10.1051/e3sconf/202016504051.

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As an inherent property of the road network, macroscopic fundamental diagram (MFD) method can effectively describe the traffic status of the urban roads and identify the relationship among key factors, such as traffic flow and occupancy. Currently, using MFD is easily affected by various network inner factors including topology and road density, so in this paper we propose a method to identify inner characteristic of road network and do a series of comparisons under different scenarios with fixed traffic input circumstance. The differential impact of data collector setting locations are discus

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Shang, Wen-Long, Yanyan Chen, Xingang Li, and Washington Y. Ochieng. "Resilience Analysis of Urban Road Networks Based on Adaptive Signal Controls: Day-to-Day Traffic Dynamics with Deep Reinforcement Learning." Complexity 2020 (November 20, 2020): 1–19. http://dx.doi.org/10.1155/2020/8841317.

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Improving the resilience of urban road networks suffering from various disruptions has been a central focus for urban emergence management. However, to date the effective methods which may mitigate the negative impacts caused by the disruptions, such as road accidents and natural disasters, on urban road networks is highly insufficient. This study proposes a novel adaptive signal control strategy based on a doubly dynamic learning framework, which consists of deep reinforcement learning and day-to-day traffic dynamic learning, to improve the network performance by adjusting red/green time spli

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Ambros, Jiri, Jan Elgner, Veronika Valentova, Radoslaw Bak, and Mariusz Kiec. "Proactive safety assessment of urban through-roads based on GPS data." Archives of Transport 69, no. 1 (2024): 113–25. http://dx.doi.org/10.61089/aot2024.gpa7v104.

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Road safety is a worldwide issue, while urban roads account for a high share of serious road injuries, especially involving vulnerable road users, such as pedestrians or cyclists. Specifically, the safety of major roads through built-up areas (through-roads) is insufficient due to mixed traffic conditions including vulnerable road users, varying driving behaviour, and many disruptions, which are combined with excessive speed.. In this context, various traffic calming measures have been implemented to improve road safety, such as gateways or pedestrian refuge islands. However, the specific safe

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Li, Yi, and Min Huang. "Identification of Critical Road Links Based on Static and Dynamic Features Fusion." Applied Sciences 13, no. 10 (2023): 5994. http://dx.doi.org/10.3390/app13105994.

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Traffic congestion is a significant challenge in modern cities, leading to economic losses, environmental pollution, and inconvenience for the public. Identifying critical road links in a city can assist urban traffic management in developing effective management strategies, preserving the efficiency of critical road links, and ensuring the smooth operation of urban transportation systems. However, the existing road link importance evaluation metrics mostly rely on complex network metrics and traffic metrics, which may lead to biased results. In this paper, we propose a critical road link iden

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Badhrudeen, Mohamed, Sybil Derrible, Trivik Verma, Amirhassan Kermanshah, and Angelo Furno. "A Geometric Classification of World Urban Road Networks." Urban Science 6, no. 1 (2022): 11. http://dx.doi.org/10.3390/urbansci6010011.

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This article presents a method to uncover universal patterns and similarities in the urban road networks of the 80 most populated cities in the world. To that end, we used degree distribution, link length distribution, and intersection angle distribution as topological and geometric properties of road networks. Moreover, we used ISOMAP, a nonlinear dimension reduction technique, to better express variations across cities, and we used K-means to cluster cities. Overall, we uncovered one universal pattern between the number of nodes and links across all cities and identified five classes of citi

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Zhang, Yongchuan, Caixia Long, Jiping Liu, Yong Wang, and Wei Yang. "DualNet-PoiD: A Hybrid Neural Network for Highly Accurate Recognition of POIs on Road Networks in Complex Areas with Urban Terrain." Remote Sensing 16, no. 16 (2024): 3003. http://dx.doi.org/10.3390/rs16163003.

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For high-precision navigation, obtaining and maintaining high-precision point-of-interest (POI) data on the road network is crucial. In urban areas with complex terrains, the accuracy of traditional road network POI acquisition methods often falls short. To address this issue, we introduce DualNet-PoiD, a hybrid neural network designed for the efficient recognition of road network POIs in intricate urban environments. This method leverages multimodal sensory data, incorporating both vehicle trajectories and remote sensing imagery. Through an enhanced dual-attention dilated link network (DAD-Li

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Shim, Jisup, and Jiho Yeo. "An Evaluation Method of Road Link Functionality Using Individual Trajectory Data and Weighted Network Analysis." Journal of Advanced Transportation 2022 (September 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/4960882.

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Road links within a city are hierarchical according to their structure and function. Upper-level road links, such as highways and arterials, are designed to maintain higher mobility and traffic flow, while lower-level road links should be more accessible. However, depending on the origin-destination demand pattern (O-D), drivers’ route choice, land use, and urban infrastructure, the actual usage pattern of roads could be different from the designed intention. This difference ultimately puts a load on certain road links and causes traffic jams. In order to handle this issue, it is necessary to

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Taylor, Brendan D., and Ross L. Goldingay. "Facilitated movement over major roads is required to minimise extinction risk in an urban metapopulation of a gliding mammal." Wildlife Research 39, no. 8 (2012): 685. http://dx.doi.org/10.1071/wr12142.

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Context Urbanisation is recognised as a primary cause of biodiversity loss. Roads are an inherent element of this, creating partial or complete barriers to animal movement. Urban landscapes of eastern Australia are typified by a dense road network interspersed with remnant patches of bushland. Inter-patch movement by tree-dependent gliding mammals may be halted and, consequently, population viability threatened, when canopy gaps over roads exceed gliding ability. Aims We test the notion that a metapopulation of the squirrel glider (Petaurus norfolcensis) in southern Brisbane can persist within

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Ru, Xiaolei, Xiangdong Xu, Yang Zhou, and Chao Yang. "Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network." Journal of Advanced Transportation 2020 (September 8, 2020): 1–10. http://dx.doi.org/10.1155/2020/8845804.

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Predicting traffic operational condition is crucial to urban transportation planning and management. A large variety of algorithms were proposed to improve the prediction accuracy. However, these studies were mainly based on complete data and did not discuss the vulnerability of massive data missing. And applications of these algorithms were in high-cost under the constraints of high quality of traffic data collecting in real-time on the large-scale road networks. This paper aims to deduce the traffic operational conditions of the road network with a small number of critical segments based on

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Lavery, Carl. "The Pepys of London E11: Graeme Miller and the Politics of Linked." New Theatre Quarterly 21, no. 2 (2005): 148–60. http://dx.doi.org/10.1017/s0266464x05000059.

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In 2003, Graeme Miller was commissioned by the Museum of London to produce a sitespecific artwork for its oral history collection. Miller responded by creating Linked, a performance which bears witness to the disastrous impact the M11 link road has had on his local neighbourhood since its construction in the 1990s. Helped by a team of researchers, Miller interviewed local citizens and road protesters and broadcast their testimonies from twenty transmitters that line the route of the link road. In order to activate the work, the participant borrows a headset from a local library and is invited

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Rahman, Aulia, Muhammad Zudhy Irawan, and Mukhammad Rizka Fahmi Amrozi. "A new approach to estimating link performance on Indonesian urban roads: deriving the BPR 1964 function." IOP Conference Series: Materials Science and Engineering 1289, no. 1 (2023): 012043. http://dx.doi.org/10.1088/1757-899x/1289/1/012043.

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Abstract Predictions of traffic volumes on road networks must be precise for transportation planning, and equilibrium trip assignment models based on the Volume Delay Function (VDF) are typically employed. In 1964, the U.S. Bureau of Public Roads (BPR) created a VDF widely used in many countries, including Indonesia. However, using capacity manuals from Western nations in Indonesia did not produce the desired results due to differences in traffic composition and driver behaviour. Using the Indonesian Highway Capacity Manual’s macroscopic fundamental diagram, this paper aims to derive a more ac

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Husain, Khaleel, Azlan Awang, Nidal Kamel, and Sonia Aïssa. "Intersection-Based Link-Adaptive Beaconless Forwarding in Urban Vehicular Ad-Hoc Networks." Sensors 19, no. 5 (2019): 1242. http://dx.doi.org/10.3390/s19051242.

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Remote monitoring applications in urban vehicular ad-hoc networks (VANETs) enable authorities to monitor data related to various activities of a moving vehicle from a static infrastructure. However, urban environment constraints along with various characteristics of remote monitoring applications give rise to significant hurdles while developing routing solutions in urban VANETs. Since the urban environment comprises several road intersections, using their geographic information can greatly assist in achieving efficient and reliable routing. With an aim to leverage this information, this artic

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Al-Kaissi, Zainab Ahmed. "Travel Time Prediction Models and Reliability Indices for Palestine Urban Road in Baghdad City." Al-Khwarizmi Engineering Journal 13, no. 3 (2017): 120–30. http://dx.doi.org/10.22153/kej.2017.01.007.

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Abstract Travel Time estimation and reliability measurement is an important issues for improving operation efficiency and safety of traffic roads networks. The aim of this research is the estimation of total travel time and distribution analysis for three selected links in Palestine Arterial Street in Baghdad city. Buffer time index results in worse reliability conditions. Link (2) from Bab Al Mutham intersection to Al-Sakara intersection produced a buffer index of about 36% and 26 % for Link (1) Al-Mawall intersection to Bab Al- Mutham intersection and finally for link (3) which present

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Chen, Shiyi, and Yiyong Pan. "A Link Real-time Travel Time Estimation on Speed-time Field Traversing Incorporating LSTM Neural Network." Journal of Physics: Conference Series 2491, no. 1 (2023): 012035. http://dx.doi.org/10.1088/1742-6596/2491/1/012035.

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Abstract A travel time estimation method based on Speed-time field traversal including LSTM neural network was proposed to increase the real-time and accuracy of travel time estimation. The node departure speed of the traditional piecewise truncated quadratic speed trajectory model was optimized by the road node arrival speed, considering the impact of road conditions on travel time. The node arrival speed was modeled as time series and predicted in the short-term future by combining the LSTM neural network model to construct a spatiotemporally continuous speed trajectory, to estimate the link

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Ramsunder Sarjoo, Arvin, and Dhiren Allopi. "The Development of a Road Safety Classification System for South Africa." Put i saobraćaj 71, no. 2 (2025): 7–13. https://doi.org/10.31075/pis.71.02.02.

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The importance of roads which serve as the literal link to access economic development necessitates the existence of an effective road classification system. While functional classification systems implicitly address road safety requirements, there is a need for a more focused road safety-based classification system for South Africa as a developing country. Leading international standards describe 20 possible road classification categories in comparison with South African standards which describes two context classes namely “urban” and “rural” offering 12 possible road classification categorie

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Jraiw, Kim. "Urban Road Transport in Asia’s Developing Countries: Safety and Efficiency Strategy." Transportation Research Record: Journal of the Transportation Research Board 1846, no. 1 (2003): 19–25. http://dx.doi.org/10.3141/1846-04.

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Most of the world’s population and economic growth is occurring in the developing countries (DC) of the Asia-Pacific region. DCs will experience most of the world’s urban growth. Motor vehicles are growing at two to three times the population rate. Road safety and congestion are major concerns. As a consequence, DCs now face alarming urban road transport challenges, which are expected to continue for some years. The supply of transport services has not matched the increased demand, because of insufficient infrastructure development. No comprehensive strategy exists to address the safety and ef

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Tang, Qinrui, Huijun Liu, and Bernhard Friedrich. "Lane-based signal optimization with left turn prohibition in urban road networks." Canadian Journal of Civil Engineering 46, no. 2 (2019): 73–80. http://dx.doi.org/10.1139/cjce-2018-0079.

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Left turns may generate efficiency problems, which can be solved by appropriately prohibiting left turns. The goal of this paper is to propose a method for purpose of minimizing total travel times in urban road networks by prohibiting left turns. With left turn prohibition, the signal timing plan is optimized with the lane-based method because the method can adequately handle both signal timing optimization and lane assignment. The total travel time is calculated with link flows and link travel time being estimated with signal settings. As illustrated by numerical examples, prohibiting left tu

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Guo, Yajuan, and Licai Yang. "Reliable Estimation of Urban Link Travel Time Using Multi-Sensor Data Fusion." Information 11, no. 5 (2020): 267. http://dx.doi.org/10.3390/info11050267.

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Travel time is one of the most critical indexes to describe urban traffic operating states. How to obtain accurate and robust travel time estimates, so as to facilitate to make traffic control decision-making for administrators and trip-planning for travelers, is an urgent issue of wide concern. This paper proposes a reliable estimation method of urban link travel time using multi-sensor data fusion. Utilizing the characteristic analysis of each individual traffic sensor data, we first extract link travel time from license plate recognition data, geomagnetic detector data and floating car data

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Lekariap, Edwin, Zachary C. Abiero-Gariy, and Timothy Nyomboi. "Influence of Side Friction on Average Width Loss in Urban Roads Links; A Case Study of Nakuru Town." American Journal of Engineering and Technology Management 9, no. 3 (2024): 56–65. http://dx.doi.org/10.11648/j.ajetm.20240903.12.

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This study investigated the impact of side friction factors on the reduction of effective carriageway width in urban road links in Nakuru Town, Kenya. Linear regression models were developed for each road link, revealing a strong positive relationship between the frequency of side friction factors and the average carriageway width reduction (AVWR). The prediction models highlighted the varying influence of specific side friction factors, such as pedestrians, entry and exit maneuvers, parked vehicles, motorbikes, and bicycles, on AVWR across different road segments. The findings emphasize the i

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Anderson, William P., Pavlos S. Kanaroglou, Eric J. Miller, and Ronald N. Buliung. "Simulating Automobile Emissions in an Integrated Urban Model." Transportation Research Record: Journal of the Transportation Research Board 1520, no. 1 (1996): 71–80. http://dx.doi.org/10.1177/0361198196152000109.

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The network component of an integrated urban model called IMULATE is interfaced with the MOBILE5.C emissions models. IMULATE produces estimates of traffic flows and average speeds on each link in an urban road network using a user equilibrium assignment algorithm. This information is combined with speed-dependent emissions factors generated by MOBILE5.C to calculate estimates of the three types of emissions on a link-by-link basis. The combined models are implemented for the Hamilton, Ontario, Canada, metropolitan area. Simulations are conducted to illustrate the spatial patterns of emissions

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Qu, ZhaoWei, Yan Xing, XianMin Song, YuZhou Duan, and Fulu Wei. "A Study on the Coordination of Urban Traffic Control and Traffic Assignment." Discrete Dynamics in Nature and Society 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/367468.

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The interactions between signal setting and traffic assignment can directly affect the urban road network efficiency. In order to improve the coordination of signal setting with traffic assignment, this paper created a traffic control algorithm considering traffic assignment; meanwhile, the link impedance function and the route choice function were introduced into this paper to study the user's route choice and the road network flow distribution. Then based on the above research, we created a system utility value model. Finally through the VISSIM software to simulate the test network, we verif

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Chathoth, Vipin, and Gowri Asaithambi. "Modeling Free-flow Speeds on Undivided Roads in Mixed Traffic with Weak Lane Discipline." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 15 (2018): 105–17. http://dx.doi.org/10.1177/0361198118794538.

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In developing countries like India, transportation systems are characterized by limited roadway infrastructure and lack of operation and management experience. Hence, there exists a need to evaluate a performance indicator that reflects the current level of service (LOS) of a road facility. Free-flow speed (FFS) is a key parameter used to express LOS assessment. The objective of this study is to develop FFS prediction models for undivided roads with mixed traffic conditions in both urban and rural settings in India. Traffic data were collected from two-way two-lane undivided roads in southern

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Helali, K. N., and A. M. Khan. "Regression-based urban arterial road delay models." Canadian Journal of Civil Engineering 20, no. 1 (1993): 37–49. http://dx.doi.org/10.1139/l93-004.

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During the last two decades, emphasis in transportation planning has shifted from long-term capital-intensive construction projects to short- and medium-term, relatively low capital cost, projects aimed at using existing transportation facilities more efficiently. This shift caused the integration of transportation system management (TSM) activities into the overall transportation planning process. Presently, the TSM endeavours are regarded as a prerequisite prior to initiating major capacity expansion type of capital works.Although the TSM initiatives are undertaken in response to congestion

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Iqbal, Asif, Shirina Afroze, and Md Mizanur Rahman. "Probabilistic Health Risk Assessment of Vehicular Emissions as an Urban Health Indicator in Dhaka City." Sustainability 11, no. 22 (2019): 6427. http://dx.doi.org/10.3390/su11226427.

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Emissions modelling is an important tool for assessing the urban health status of any city, but often the assessments are affected by the uncertainty of the data used for the modelling. Therefore, a Monte Carlo simulation technique was used for a probabilistic emissions modelling of Dhaka City by simulating 20,000 scenarios for the highest and lowest values of traffic volume and speed profiles for each of the major road links. Only nitrogen oxide (NOx) emissions from on-road vehicles were considered, as vehicular sources are major contributors. Each dataset included two peak periods and an off

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Hidayat, A. "Street Crowdedness and Urban Congestion Level by MAC and GPS Data." IOP Conference Series: Earth and Environmental Science 1353, no. 1 (2024): 012026. http://dx.doi.org/10.1088/1755-1315/1353/1/012026.

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Abstract Wi-Fi is one of the emerging technologies today. Wi-Fi refers to MAC (Media Access Control) address data. A MAC address represents a device number. In other words, it represents the number of people. The system uses MAC address data to determine road traffic congestion and land use, detects the number of terminals using a Wi-Fi scanner, and analyzes vehicle speed using GPS. The purpose of this research is to understand city-level services from traffic services and road congestion status and degree of congestion using Wi-Fi data (MAC addresses). This method was used for this study by p

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Kim, Minsung, Byung Il Kwak, Jong-Uk Hou, and Taewoon Kim. "Robust Long-Term Vehicle Trajectory Prediction Using Link Projection and a Situation-Aware Transformer." Sensors 24, no. 8 (2024): 2398. http://dx.doi.org/10.3390/s24082398.

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The trajectory prediction of a vehicle emerges as a pivotal component in Intelligent Transportation Systems. On urban roads where external factors such as intersections and traffic control devices significantly affect driving patterns along with the driver’s intrinsic habits, the prediction task becomes much more challenging. Furthermore, long-term forecasting of trajectories accumulates prediction errors, leading to substantially inaccurate predictions that may deviate from the actual road. As a solution to these challenges, we propose a long-term vehicle trajectory prediction method that is

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Poochaya, Settawit, and Peerapong Uthansakul. "Beam Tracking in Switched-Beam Antenna System for V2V Communication." International Journal of Antennas and Propagation 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/4169619.

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This paper presents the proposed switched beam antenna system for V2V communication including optimum antenna half power beamwidth determination in urban road environments. SQP optimization method is selected for the computation of optimum antenna half power beamwidth. In addition, beam tracking algorithm is applied to guarantee the best beam selection with maximum RSSI. The results present the success of the proposed system with the increasing of V2V performance metrics. Also, V2V data dissemination via the proposed system introduces the enhancement of V2V link in terms of RSSI, PER, BER,Tsaf

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Egidius, Kalogo, and Gaspar Noesaku da Costa Don. "Determining of Appropriate Passenger Car Unit Values Due to a Change in Effective Width of Roadway." Engineering and Technology Journal 9, no. 05 (2024): 4172–78. https://doi.org/10.5281/zenodo.11399438.

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Legitimately, the passenger car equivalent value is determined based on the type and width of the road as well as the traffic volume. Interestingly, the effective width of roadway often varies due to land topography conditions and level of side friction. Theoretically, the number of survey posts should be determined based on road geometric and environmental conditions because traffic volume is a reflection of the choice of speed. Unfortunately, due to limited funds, traffic volume, travel speed and ride friction surveys were carried out at 1 survey point. As a result. the recommendations for s

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Zhou, Xiyang, Zhaosheng Yang, Wei Zhang, Xiujuan Tian, and Qichun Bing. "Urban Link Travel Time Estimation Based on Low Frequency Probe Vehicle Data." Discrete Dynamics in Nature and Society 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/7348705.

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To improve the accuracy and robustness of urban link travel time estimation with limited resources, this research developed a methodology to estimate the urban link travel time using low frequency GPS probe vehicle data. First, focusing on the case without reporting points for the GPS probe vehicle on the target link in the current estimation time window, a virtual report point creation model based on theK-Nearest Neighbour Rule was proposed. Then an improved back propagation neural network model was used to estimate the link travel time. The proposed method was applied to a case study based o

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Hardini, Probo, Eva Wahyu Indriyati, Nursitihazlin Ahmad Termida, and Wibowo Janudardono. "Impact of Side Friction Parameters to Road Performance, A Study of Road Side Activities to Jend. A Yani Road, Purbalingga." E3S Web of Conferences 609 (2025): 03001. https://doi.org/10.1051/e3sconf/202560903001.

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Traffic flow on city roads is greatly affected by side friction elements, like parking on the street, pedestrian crossings, and non-motorized vehicles (NMVs), mainly in areas with mixed traffic. This study looks at these effects on Jenderal A. Yani Road in Purbalingga, Indonesia, which is an important industrial route that links key manufacturing sites and sees a lot of vehicle and foot traffic. The goals of the research are to (1) find the side friction factor that most impact vehicle space mean speed (SMS), (2) use multivariate regression to understand the link between side friction and SMS,

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Gu, Jian, Miaohua Li, Linghua Yu, Shun Li, and Kejun Long. "Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data." Journal of Advanced Transportation 2021 (April 13, 2021): 1–19. http://dx.doi.org/10.1155/2021/8876626.

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In this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical vehicle travel time and the time headway deviation upstream and downstream of the links as the main parameters. A typical vehicle analysis method based on link travel time similarity is proposed, and the theoretical formula is optimized, respectively. Then, an estimation formula based on maximum trav

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Mironova, Svetlana M. "FEATURES OF THE IMPLEMENTATION OF THE FINANCIAL AND LEGAL STATUS OF MUNICIPALITIES, INCLUDED IN URBAN AGGLOMERATIONS." Law Enforcement Review 4, no. 1 (2020): 85–95. http://dx.doi.org/10.24147/2542-1514.2020.4(1).85-95.

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The subject of research is financial legal issues of the development of urban agglomera-tions.  The purpose of the article is to confirm or refute hypothesis that the primary financial support for urban agglomerations is carried out at the federal level, based on federal pro-grams for the development of the road network. Hence, municipalities that are part of urban agglomerations receive federal inter-budget transfers aimed at the development of roads and road infrastructure as the most critical link for the development of agglomera-tions. The methodology The methodological basis o

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Jovanovic, Uros, Elham Shayanfar, and Paul M. Schonfeld. "Selecting and Scheduling Link and Intersection Improvements in Urban Networks." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 51 (2018): 1–11. http://dx.doi.org/10.1177/0361198118758681.

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Deciding which projects, alternatives or investments to implement is a complex and important problem not only in transportation engineering, but in management, operations research and economics. Projects are interrelated if their benefits or costs depend on which other projects are implemented. Furthermore, in the network development problem analyzed here, the timing of projects also affects the benefits and costs of other projects. This paper presents a method for optimizing the selection and scheduling of interrelated improvements in road networks that explicitly considers intersections. The

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Ikidid, Abdelouafi, Abdelaziz El Fazziki, and Mohammed Sadgal. "A Fuzzy Logic Supported Multi-Agent System For Urban Traffic And Priority Link Control." JUCS - Journal of Universal Computer Science 27, no. 10 (2021): 1026–45. http://dx.doi.org/10.3897/jucs.69750.

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Artificial technologies are rapidly becoming one of the most powerful and popular technologies for solving complicated problems involving distributed systems. Nevertheless, their potential for application to advanced artificial transportation systems has not been sufficiently explored. This paper presents a traffic optimization system based on agent technology and fuzzy logic that aims to manage road traffic, prioritize emergency vehicles, and promote collective modes of transport in smart cities. This approach aims to optimize traffic light control at a signalized intersection by acting on th

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Ikidid, Abdelouafi, Fazziki Abdelaziz El, and Mohammed Sadgal. "A Fuzzy Logic Supported Multi-Agent System For Urban Traffic And Priority Link Control." JUCS - Journal of Universal Computer Science 27, no. (10) (2021): 1026–45. https://doi.org/10.3897/jucs.69750.

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Artificial technologies are rapidly becoming one of the most powerful and popular technologies for solving complicated problems involving distributed systems. Nevertheless, their potential for application to advanced artificial transportation systems has not been sufficiently explored. This paper presents a traffic optimization system based on agent technology and fuzzy logic that aims to manage road traffic, prioritize emergency vehicles, and promote collective modes of transport in smart cities. This approach aims to optimize traffic light control at a signalized intersection by acting on th

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Al-jaberi, A. "SPATIAL CLASSIFICATION OF TRANSPORT NETWORKS AND ITS CONNECTION WITH THE TYPOLOGY OF TRANSIT-ORIENTED DEVELOPMENT FOR THE CITIES OF NAJAF AND KUFA OF THE PROVINCE OF NAJAF." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 5, no. 9 (2020): 57–66. http://dx.doi.org/10.34031/2071-7318-2020-5-9-57-66.

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Transport is a link between territories with different types of land use in urban areas. At the same time, the improved accessibility associated with the transport network can lead to increased segregation and a change in land use. The article analyzes the road network of the Najaf and Kufa cities, Najaf province, Iraq, in order to identify the spatial classification of roads and streets. Based on the analysis, three main types of roads and streets are identified with respect to their structural features and characteristics: regional, city and district. The dependence of the typology and locat

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Isradi, Muhammad, Joewono Prasetijo, Thomas Setiabudi Aden, and Andri Irfan Rifai. "Relationship of present serviceability index for flexible and rigid pavement in urban road damage assessment using pavement condition index and international roughness index." E3S Web of Conferences 429 (2023): 03012. http://dx.doi.org/10.1051/e3sconf/202342903012.

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Functional and structural failures in the pavement structure can be distinguished. The Road state Value measures the functional state of road pavements in managing flexible and stiff pavements for urban roadways in Indonesia. The pavement condition assessment is based on the unevenness of the pavement surface, rutting, and direct surface damage. This research aims to assess the worth of road damage on flexible and rigid pavements and establish a special relationship between Present Serviceability, International Roughness, and Pavement Condition Index. Direct observation in the field is utilize

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Pueboobpaphan, Rattaphol, Takashi Nakatsuji, Hironori Suzuki, and Akira Kawamura. "Transformation between Uninterrupted and Interrupted Speeds for Urban Road Applications." Transportation Research Record: Journal of the Transportation Research Board 1934, no. 1 (2005): 72–82. http://dx.doi.org/10.1177/0361198105193400108.

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Unlike the freeway traffic stream, the urban traffic stream is generally interrupted by signals, and the traffic data observed may differ from the true (uninterrupted) flow characteristics. This paper deals with the transformation between interrupted and uninterrupted speeds on an urban road with signalized intersections. The conventional shock wave model and two modified versions of the shock wave boundary that address unrealistic characteristics of the conventional shock wave model are developed. A method of integrating probe and detector data for speed transformation is also discussed. The

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Godoy, Jorge, Joshué Pérez, Enrique Onieva, Jorge Villagrá, Vicente Milanés, and Rodolfo Haber. "A DRIVERLESS VEHICLE DEMONSTRATION ON MOTORWAYS AND IN URBAN ENVIRONMENTS." TRANSPORT 30, no. 3 (2015): 253–63. http://dx.doi.org/10.3846/16484142.2014.1003406.

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The constant growth of the number of vehicles in today’s world demands improvements in the safety and efficiency of roads and road use. This can be in part satisfied by the implementation of autonomous driving systems because of their greater precision than human drivers in controlling a vehicle. As result, the capacity of the roads would be increased by reducing the spacing between vehicles. Moreover, greener driving modes could be applied so that the fuel consumption, and therefore carbon emissions, would be reduced. This paper presents the results obtained by the AUTOPIA program during a pu

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Bing, He, Xu Zhifeng, Xu Yangjie, Hu Jinxing, and Ma Zhanwu. "Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data." Complexity 2020 (November 7, 2020): 1–14. http://dx.doi.org/10.1155/2020/6939328.

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Road link speed is one of the important indicators for traffic states. In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First, we construct a trajectory dataset from map-matched GPS location data of taxis. Then, we use the LDA algorithm to extract the semantic function vectors of urban zones and quantify the spatial dynamic characteristics of road links based on taxi trajectories. Finally, we add semantic function vectors to the dataset and train a graph convolutional netw

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Chepkoech, Mercy, and Perris Chege Dr. "INFLUENCE OF RISK TRANSFER ON PERFORMANCE OF ROAD CONSTRUCTION PROJECTS BY KENYA URBAN ROADS AUTHORITY IN NAIROBI CITY COUNTY, KENYA." International Journal of Social Science and Humanities Research 12, no. 3 (2024): 151–59. https://doi.org/10.5281/zenodo.13166232.

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<strong>Abstract:</strong><em> </em>The Kenya Urban Roads Authority acknowledges the critical role of risk management in ensuring the successful completion of road construction projects. This is achieved through proactive risk identification, contingency planning, and continuous monitoring. The authority is committed to minimizing the impact of risks and uncertainties, thereby delivering high-quality road infrastructure that fulfills the community's needs. Research indicates that approximately half of construction projects experience delays, while around 63% of information systems projects enc

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