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Готові списки джерел за темами / Traffic Observation / Статті в журналах

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Статті в журналах з теми "Traffic Observation"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Duffield, N. G., and M. Grossglauser. "Trajectory sampling for direct traffic observation." ACM SIGCOMM Computer Communication Review 30, no. 4 (2000): 271–82. http://dx.doi.org/10.1145/347057.347555.

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2

Duffield, N. G., and M. Grossglauser. "Trajectory sampling for direct traffic observation." IEEE/ACM Transactions on Networking 9, no. 3 (2001): 280–92. http://dx.doi.org/10.1109/90.929851.

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3

Korubilli, Laxmi Swaroopa, Ramya Sri Lingoji, and Agrawal Madhuri. "Real-Time Traffic Observation and Analysis System." International Journal of Scientific Development and Research 9, no. 6 (2024): 183–89. https://doi.org/10.5281/zenodo.11547315.

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This paper introduces a real-time traffic observation and analysis system empowered by the You Only Look Once (YOLO) object detection model and the Bytetrack algorithm for vehicle tracking. The system is designed to monitor traffic parameters such as vehicle speed, traffic flow rate, and congestion levels using video footage of roadways. YOLO is utilized for real-time object detection. Bytetrack employs the Kalman filter to predict future vehicle positions and association techniques for mapping vehicles across successive frames, facilitating the assignment of tracking IDs. Leveraging the YOLO

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4

Yin, Gang, and Yu Feng Chen. "Relationship between Short Term Traffic Flow Chaos Fractal Properties and the Necessary Data for Prediction." Applied Mechanics and Materials 380-384 (August 2013): 1256–61. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1256.

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Analyze the traffic flow in multi-scale time window of a freeway by using the nonlinear analysis method such as Correlation dimension , recursive map and so on, we find that chaos and fractal still exist in wide observation scales. Traffic flow correlation dimension reduces when the length of time window increases, in the observation scale of minutes. However, traffic flow correlation dimension reduces when the length of time window reduces, in the observation scale of seconds, instead of fractal property disappearance as predicted before. We present that, from the view of prediction, the reco

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5

Chun, Joo Yoon1 Young Rok Kim*2 &. Jun Hwa Jeong3. "EFFECTS OF INTERRUPTION FLOW AT THE DIVERGE AREA." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 12 (2017): 108–15. https://doi.org/10.5281/zenodo.1133315.

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Generally, congestion occurs mainly in a section where a traffic flow merge or diverge. This congestion decreases the mobility of the roads and causes the increase of the logistics cost, and ultimately it is the main cause of weakening the national competitiveness. Therefore, in this study, we analyzed the decrease effect of service traffic by interrupting once more diverge after diverge again. We analyzed the traffic flow according to the number of interventions when 1,320 veh/h and 1,356 veh/h of traffic entering the main fleet are located in the junction of the Seoul Junction and the West C

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6

Kucharski, Rafał, and Guido Gentile. "DIRECT OBSERVATION OF REROUTING PHENOMENA IN TRAFFIC NETWORKS." Archives of Transport 30, no. 2 (2014): 57–66. http://dx.doi.org/10.5604/08669546.1146977.

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In this paper we propose how available dataset can be used to estimate rerouting phenomena in traffic networks. We show how to look at set of paths observed during unexpected events to understand the rerouting phenomena. We use the information comply model [1] and propose its estimation method. We propose the likelihood formula and show how the theoretical and observed rerouting probabilities can be obtained. We conclude with illustrative example showing how a single observed path can be processes and what information it provides. Contrary to parallel paper [2] where rerouting phenomena is est

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7

Yao, Cai, Liu Zhengjiang, and Wu Zhaolin. "Distribution Diagram of Ship Tracks Based on Radar Observation in Marine Traffic Survey." Journal of Navigation 63, no. 1 (2009): 129–36. http://dx.doi.org/10.1017/s0373463309990269.

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Marine traffic survey is a fundamental part of marine traffic engineering. In the assessment of the safety or effectiveness in particular water areas, the distribution of ship tracks is always included as one of the most significant results of a marine traffic survey. In this paper, methods of marine traffic survey are discussed and an appropriate method is selected to obtain the traffic data considering the available research circumstances in China. A semi-automatic artificial way of plotting a distribution diagram of ship tracks is presented with illustrations. Details of the diagram plotted

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8

Zhao, Yu, Pan Deng, Junting Liu, Xiaofeng Jia, and Mulan Wang. "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 4929–36. http://dx.doi.org/10.1609/aaai.v37i4.25619.

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Multimodal traffic flow can reflect the health of the transportation system, and its prediction is crucial to urban traffic management. Recent works overemphasize spatio-temporal correlations of traffic flow, ignoring the physical concepts that lead to the generation of observations and their causal relationship. Spatio-temporal correlations are considered unstable under the influence of different conditions, and spurious correlations may exist in observations. In this paper, we analyze the physical concepts affecting the generation of multimode traffic flow from the perspective of the observa

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9

Oujezsky, Vaclav, and Tomas Horvath. "Traffic Similarity Observation Using a Genetic Algorithm and Clustering." Technologies 6, no. 4 (2018): 103. http://dx.doi.org/10.3390/technologies6040103.

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This article presents a technique of traffic similarity observation based on the statistical method of survival analysis by using a genetic algorithm. The basis comes from the k-means clustering algorithm. The observed traffic is collected from different network sources by using a NetFlow collector. The purpose of this technique is to propose a process of finding spread malicious traffic, e.g., ransomware, and considers the possibility of implementing a genetic-based algorithm. In our solution, a chromosome is created from clustering k-means centers, and the Davies–Bouldin validity index is us

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10

Wickramathilaka, N., and U. Ujang. "3D Kriging interpolation for traffic noise visualization: designing noise observation points and valuation of spatial interpolation accuracy." IOP Conference Series: Earth and Environmental Science 1274, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1755-1315/1274/1/012001.

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Abstract Identifying the risk of traffic noise is vital in minimizing traffic noise pollution in urban areas. As noise travels in every direction, 3D visualization of traffic noise is essential, which involves visualising traffic noise along the facades of buildings. A standard traffic noise model is necessary to calculate traffic noise levels, as several factors affect traffic noise. Moreover, designing noise observation points in 3D and spatial interpolation play significant roles in 3D noise visualisation. Therefore, this study demonstrates the results by elaborating on the spatial interpol

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11

Pudjaprasetya, Sri Redjeki, and Dear Michiko Noor. "An Analysis of A Three-Phase Versus A Four-Phase Traffic Lights Regulation for A Four-Leg Intersection." Journal of the Indonesian Mathematical Society 26, no. 2 (2020): 192–201. http://dx.doi.org/10.22342/jims.26.2.823.192-201.

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Traffic management of intersections is an important factor that can determine traffic density at the intersection, as well as its surrounding. Long traffic queues we encounter in daily life, were often caused by ineffectiveness of traffic lights management of the cross sections.In this article, an analytic study of traffic light management of a four-leg intersection, based on the kinematic LWR model, was presented. Comparison was based on observing the end of queues over three cycles of red-green lights, under the assumption of a constant traffic flux. On every leg of the intersection, the end

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12

Swathi, B., Ch S. V. Maruthi Rao, and B. Sreenivasu. "Raspberry Pi Traffic Density Observation Associate Controlling System." SREYAS International Journal of Scientists and Technocrats 2, no. 1 (2018): 8–13. http://dx.doi.org/10.24951/sreyasijst.org/2018011002.

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13

Shimoi, Nobuhiro, and Yatsuka Nakamura. "Application of millimeter-wave radar traffic observation system." Electronics and Communications in Japan (Part I: Communications) 79, no. 4 (1996): 24–34. http://dx.doi.org/10.1002/ecja.4410790403.

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14

Tian, Yan Fei, and Xiao Yang Wei. "Clustering Analysis of Main Vessel Traffic Flow Observation Lines along Yangtze River." Applied Mechanics and Materials 744-746 (March 2015): 1792–96. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1792.

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For the reasonable grouping of the 16 vessel traffic flow observation lines along Yangtze River to compare them with each other, essential data of nearly 6 years taken with the mean relative growth rate of traffic flow over the yearly same period set as clustering index, the clustering of the 16 vessel traffic flow observation lines was realized on MATLAB in accordance with the set index based on the basic principle and processes of Agglomerative Hierarchical Clustering Method, which indicated that the observation lines can be divided into 3 classes, and particularly Jiujiang took an exclusive

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15

Sucipto, Fentisari Desti. "PENGARUH PERILAKU BERLALU LINTAS TERHADAP EFEKTIVITAS VIDEOTRON." INVENSI 2, no. 2 (2018): 1–12. http://dx.doi.org/10.24821/invensi.v2i2.1862.

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Videotron merupakan salah satu media periklanan yang merupakan pengembangan dari billboard (papan reklame) dengan menggunakan teknik gambar bergerak untuk menampilkan iklan kepada khalayak. Videotron sengaja diletakkan pada pemberhentian rambu apill agar dapat terlihat secara langsung oleh para pengendara yang berhenti. Peletakan videotron di tiap arah pemberhentian lampu apill yang berbeda tentu berdampak pada perilaku pengendara dalam berlalu lintas. Penelitian ini bertujuan untuk mengetahui dampak penempatan videotron terhadap perilaku berlalu lintas yang mengacu pada prinsip pengamatan non

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16

Gorev, Andrey, Olga Gasilova, and Boris Sidorov. "PREREQUISITE FOR ACCIDENT-FREE TRAFFIC AT SIGNAL-CONTROLLED INTERSECTIONS." Architecture and Engineering 6, no. 1 (2021): 73–80. http://dx.doi.org/10.23968/2500-0055-2021-6-1-73-80.

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Introduction: Improving intersection capacity will not be possible without accounting for traffic safety. Purpose of the study: We aim to determine the prerequisite for accident-free traffic at signal-controlled intersections with turning traffic flows. Methods: In our study, we used the methods of observation, comparison, and mathematical analysis. Results: We have carried out a field observation of traffic intensity at signal-controlled intersections in the city of Yekaterinburg, focusing on vehicles that moved when the green light was on. We have also analyzed traffic flow moving in three d

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17

Gaussyah, M., and Dedy Yuliansyah. "Traffic Compliance Index of Acehnese Community." Kanun Jurnal Ilmu Hukum 23, no. 2 (2021): 325–39. http://dx.doi.org/10.24815/kanun.v23i2.21014.

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The purpose of this article is to analyze and discuss the correlation between the behavior of the Acehnese and the culture of traffic discipline. Every road user is obliged to obey the traffic rules, but the number of accidents is increasing every year, resulting in numerous deaths, injuries and property damage. This is an empirical legal research using a survey method with a qualitative approach. Interviews, observations, and file review is also used in this research. The results show that the traffic behavior of Acehnese remains poor, with the observation-based traffic compliance index havin

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18

Abbas, Muhammad Hasyim Ibnu, Gladis Viona Putri Permata Sari, Wafiq Sajidhan Afrizal, Demas Hadi Pamungkas, and Eri Pujiana. "PENINGKATAN KESELAMATAN BAGI PENGENDARA DAN PEJALAN KAKI DI DUSUN TRAJENG, DESA PAKISJAJAR, KECAMATAN PAKIS, KABUPATEN MALANG." Devote : Jurnal Pengabdian Masyarakat Global 3, no. 3 (2024): 135–39. https://doi.org/10.55681/devote.v3i3.3111.

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Trajeng Hamlet has 2 schools, 1 orphanage, and 1 Quranic Learning Center (TPQ), namely MI Al Hasib Pakis, TK Muslimat NU 8 Asshofiyah, Nurul Hadi Orphanage, and TPQ Al-Azhar. Observations reveal that the hamlet lacks traffic signs, which are crucial for road safety. The absence of traffic signs poses significant risks to road users, especially in a community with schools and children actively commuting. This work program focuses on addressing this issue by providing traffic signs as essential road infrastructure. The program is implemented through several stages: observation, problem identific

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19

Halimah Tusaddiah, Edi Yusuf Adiman, and Elianora. "Tingkat Kepatuhan Pengendara Sepeda Motor terhadap Lampu Lalu Lintas di Simpang Bersinyal (Studi Kasus Simpang Tabek Gadang Pekanbaru)." Jurnal Teknologi dan Rekayasa Sipil 2, no. 1 (2023): 28–33. http://dx.doi.org/10.56208/jtrs.v2.i1-hal28-33.

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The existence of traffic lights plays an important role in regulating traffic to reduce congestion and the number of accidents. One of the traffic violations committed by motorists is a violation of traffic lights. This study aims to determine the condition of traffic lights and determine the level of compliance of motorcyclists at the Tabek Gadang Intersection. The method used is descriptive analysis. Data collection was carried out by direct observation for one week at 09.00-11.00 and 16.00-18.00. From the results of this study, it can be concluded that the condition of the traffic lights at

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20

Yang, Han, and Qing Yu. "An Adaptability Analysis of the Space-Vehicle Traffic State Estimation Model for Sparsely Distributed Observation Environment." Mathematical Problems in Engineering 2021 (January 22, 2021): 1–14. http://dx.doi.org/10.1155/2021/6692068.

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The autonomous driving has shown its enormous potential to become the new generation of transportation in the last decade. Based on the automated technology, vehicles can drive in a new form, vehicle platoon, which can significantly increase the efficiency of the road system and save road resources. The space-vehicle traffic state estimation model has shown its benefits in modeling autonomous vehicle platoon in nonpipeline corridors with on- and off-ramps in ideal observation environment. However, in the current initial stage of automated connected vehicles’ application, the observation enviro

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21

Daamen, Winnie, Serge P. Hoogendoorn, and Piet H. L. Bovy. "First-Order Pedestrian Traffic Flow Theory." Transportation Research Record: Journal of the Transportation Research Board 1934, no. 1 (2005): 43–52. http://dx.doi.org/10.1177/0361198105193400105.

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This paper discusses the validity of first-order traffic flow theory for the description of two-dimensional pedestrian flow operations in the case of an oversaturated bottleneck in front of which a large high-density region has formed. The paper shows how observations of density, speed, and flow that have been collected from laboratory walking experiments can be interpreted from the viewpoint of first-order theory. It is observed that pedestrians present at the same cross section inside of the congested region may encounter different flow conditions. This mainly depends on the lateral position

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22

Tamaru, Hitoi. "Remote Radar Network for Traffic Observation in Tokyo Bay." Journal of The Japan Institute of Marine Engineering 42, no. 5 (2007): 846–51. http://dx.doi.org/10.5988/jime.42.5_846.

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23

Schleifer, W., and M. Männle. "Online error detection through observation of traffic self-similarity." IEE Proceedings - Communications 148, no. 1 (2001): 38. http://dx.doi.org/10.1049/ip-com:20010063.

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24

Mendi, Vikas, and I. Srinivasula Reddy. "Forecasting Future Traffic Trend by Short-Term Continuous Observation." IOP Conference Series: Materials Science and Engineering 1006 (December 25, 2020): 012028. http://dx.doi.org/10.1088/1757-899x/1006/1/012028.

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25

Yang, Inchul, and Woo Hoon Jeon. "Development of traffic state observation technology using automotive sensors." Journal of Digital Contents Society 19, no. 11 (2018): 2131–37. http://dx.doi.org/10.9728/dcs.2018.19.11.2131.

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26

Schafer, Mathea, Katie J. Palladino, Mohamed H. Yassin, and Heather Dixon. "Monitoring Operating Room(OR) Traffic. Automated vs. Direct Observation." American Journal of Infection Control 51, no. 7 (2023): S34. http://dx.doi.org/10.1016/j.ajic.2023.04.059.

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27

Tsou, Ming-Cheng. "Discovering Knowledge from AIS Database for Application in VTS." Journal of Navigation 63, no. 3 (2010): 449–69. http://dx.doi.org/10.1017/s0373463310000135.

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The widespread use of the Automatic Identification System (AIS) has had a significant impact on maritime technology. AIS enables the Vessel Traffic Service (VTS) not only to offer commonly known functions such as identification, tracking and monitoring of vessels, but also to provide rich real-time information that is useful for marine traffic investigation, statistical analysis and theoretical research. However, due to the rapid accumulation of AIS observation data, the VTS platform is often unable quickly and effectively to absorb and analyze it. Traditional observation and analysis methods

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28

Liu, Jia, Peng Gao, Jian Yuan, and Xuetao Du. "An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA." Journal of Probability and Statistics 2010 (2010): 1–16. http://dx.doi.org/10.1155/2010/375942.

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Mechanisms to extract the characteristics of network traffic play a significant role in traffic monitoring, offering helpful information for network management and control. In this paper, a method based on Random Matrix Theory (RMT) and Principal Components Analysis (PCA) is proposed for monitoring and analyzing large-scale traffic patterns in the Internet. Besides the analysis of the largest eigenvalue in RMT, useful information is also extracted from small eigenvalues by a method based on PCA. And then an appropriate approach is put forward to select some observation points on the base of th

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29

Zhang, Chunbo, Xiucheng Guo, and Zhenping Xi. "Determination of Observation Weight to Calibrate Freeway Traffic Fundamental Diagram Using Weighted Least Square Method (WLSM)." PROMET - Traffic&Transportation 29, no. 2 (2017): 203–12. http://dx.doi.org/10.7307/ptt.v29i2.2088.

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Due to unbalanced speed-density observations, the one-regime traffic fundamental diagram and speed-density relationship models using least square method (LSM) cannot reflect actual conditions under congested/jam traffic. In that case, it is inevitable to adopt the weighted least square method (WLSM). This paper used freeway Georgia State Route 400 observation data and proposed 5 weight determination methods except the LSM to analyse 5 wellknown one-regime speed-density models to determine the best calibrating models. The results indicated that different one-regime speed-density models have dif

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30

Dike, Declan N., Magnus C. Akponye, and Ibeawuchi C. Nze. "ASSESSMENT OF MOTORISTS' COMPLIANCE TO SEAT BELT REGULATION IN NIGERIA." International Journal of Engineering Technologies and Management Research 5, no. 3 (2018): 166–80. https://doi.org/10.5281/zenodo.1218168.

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<strong><em>The work is an attempt to assess the level of compliance by motorists to seat belt regulation in Nigeria. Specifically it evaluates the seat belts usage rates along Enugu- Port Harcourt, ENU-PHC and Port Harcourt- Enugu, PHC-ENU traffic corridors based on vehicle type and front seat occupants. Data was collected from two sites at Osisioma junction in Aba Abia state, Nigeria by direct observations at designated points. The findings of the observation were treated with percentage analysis where each category of vehicle is treated separately with percentage table analysis. Results on

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31

Meng, Guangyu, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, and Zhiqian Chen. "Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (2022): 13015–16. http://dx.doi.org/10.1609/aaai.v36i11.21644.

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Predicting and quantifying the impact of traffic accidents is necessary and critical to Intelligent Transport Systems (ITS). As a state-of-the-art technique in graph learning, current graph neural networks heavily rely on graph Fourier transform, assuming homophily among the neighborhood. However, the homophily assumption makes it challenging to characterize abrupt signals such as traffic accidents. Our paper proposes an abrupt graph wavelet network (AGWN) to model traffic accidents and predict their time durations using only one single snapshot.

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32

MATRAS, Kamil, and Grzegorz SIERPIŃSKI. "STUDY OF DRIVERS’ BEHAVIOR IN URBAN ROAD TRAFFIC." Scientific Journal of Silesian University of Technology. Series Transport 120 (September 1, 2023): 165–85. http://dx.doi.org/10.20858/sjsutst.2023.120.11.

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The main aim of the research was to diagnose drivers' behavior in urban road traffic. It was preceded by careful observation and testing of drivers' behavior in terms of the violations assumed to be observed. It was taken into account, inter alia, aspects such as failure to comply with road signs and signals, behavior at the rail-road crossing, or offenses occurring in the pedestrian-driver relationship. During the observations, the assumption was to capture negative behaviors of drivers, but each time attention was also paid to positive behaviors related to road culture. The analysis of the r

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33

Zhao, Rui, Haofeng Hu, Yun Li, Yuze Fan, Fei Gao, and Zhenhai Gao. "Sequence Decision Transformer for Adaptive Traffic Signal Control." Sensors 24, no. 19 (2024): 6202. http://dx.doi.org/10.3390/s24196202.

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Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement learning (DRL) have further enhanced ATSC’s capabilities. This paper introduces a novel DRL-based ATSC approach named the Sequence Decision Transformer (SDT), employing DRL enhanced with attention mechanisms and leveraging the robust capabilities of sequence decision models, akin to those used in advanced natural language processing, adapted here to tackle the c

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34

Schneider, Martin. "War Wounded and Victims of Traffic Accidents in a Surgical Hospital in Africa: An Observation on Injuries." Prehospital and Disaster Medicine 30, no. 6 (2015): 618–20. http://dx.doi.org/10.1017/s1049023x15005269.

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AbstractIntroductionWeapon injuries in armed conflict are likely to receive medical attention. Other types of injuries, like traffic accidents, continue to occur during armed conflict.ProblemInjuries caused by weapons and by traffic accidents require treatment, but reports and figures to help in prioritizing care are scarce.MethodsIn a prospective observational study, all emergency patients admitted to the surgical ward in a public hospital of the Central African Republic were evaluated for the cause of their main injury. The proportion of patients injured by weapons and by traffic accidents w

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35

Bergot, Thierry, and Darko Koracin. "Observation, Simulation and Predictability of Fog: Review and Perspectives." Atmosphere 12, no. 2 (2021): 235. http://dx.doi.org/10.3390/atmos12020235.

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36

Kucharski, Rafał Kucharski, and Guido Gentile. "INDIRECT OBSERVATION OF REROUTING PHENOMENA IN TRAFFIC NETWORKS – CASE STUDY OF WARSAW BRIDGES." Archives of Transport 32, no. 4 (2014): 29–41. http://dx.doi.org/10.5604/08669546.1146996.

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In this paper we propose estimation procedure in which traffic flows resulting from rerouting model are matched with traffic flows observed during unexpected events. We show practical value of observing a entire cut-set of the transportation network and propose theoretical closed-form formulation of estimation problem for the rerouting model. We apply proposed framework on field-data from Warsaw bridges to observe rerouting phenomena. Most importantly we observed that: a) around 20% of affected traffic flow reroutes, b) rerouting flows are increasing in time, c) drivers show strategic capabili

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37

Uzondu, Chinebuli, Samantha Jamson, and Frank Lai. "Exploratory study involving observation of traffic behaviour and conflicts in Nigeria using the Traffic Conflict Technique." Safety Science 110 (December 2018): 273–84. http://dx.doi.org/10.1016/j.ssci.2018.08.029.

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ETEJE, S. O., M. N. ONO, O. F. ODUYEBO, and H. O. AGHEDO. "MONITORING AND ANALYSIS OF DEFORMATION OF IKPOBA RIVER BRIDGE, BENIN CITY, EDO STATE, USING GLOBAL POSITIONING SYSTEM." Nigerian Journal of Geodesy (NJG) 2, no. 1 (2018): 93–108. https://doi.org/10.5281/zenodo.2525694.

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Safety is the primary and most important reason for monitoring the deformations of engineering structures. It could also help in improving our knowledge of the mechanical behaviour of engineering structures. Engineering structures are subject to deformation due to factors such as changes of ground water level, traffic load changes, tidal and tectonic phenomena. The Ikpoba River Bridge in Benin City whose traffic load has increased was monitored using GPS technology. The bridge was investigated as a result of carrying more load than usual due to the expansion of the road and dredging activities

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J, Sanjay, Sandesh Saidapur, Sanjay CR, and Shamanth Reddy. "Traffic Sign Detection using Convolutional Neural Networks." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 4269–73. http://dx.doi.org/10.22214/ijraset.2023.51261.

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Abstract: Signs on the road are crucial making sure the flow of traffic is smooth. Disregard whilst watching the traffic sign board is one of the main causes of traffic accidents. Traffic signs are essential for controlling traffic, preventing accidents, and assuring safety.No entry, speed limit, traffic lights, left or right turn, children crossing, etc. are just a few examples of various sorts of signs. The human observation of traffic control signals under the current approaches could lead to a re-entry collision of cars. The fast-moving traffic may be delayed as a result. Additionally, the

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40

Xu, Yang, Yulin Zhang, and Ming Liu. "Multiagent Based Decentralized Traffic Light Control for Large Urban Transportation System." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/104349.

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Intelligent traffic control is an important issue of the modern transportation system. However, in large-scale urban transportation systems, traditional centralized coordination methods suffer bottlenecks in both communication and computation. Decentralized control is hard if there is very limited observation to the whole network as evidences to support joint traffic coordination decisions. In this paper, we proposed a novel decentralized, multiagent based approach for massive traffic lights coordination to promote the large-scale green transportation. Considering that only the traffic from th

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Hasmita, Lia, and Nur Afinie Binti Radzuan. "The Public Perception of Traffic Jam in Kuala Lumpur Malaysia." Sumatra Journal of Disaster, Geography and Geography Education 2, no. 2 (2018): 86–90. http://dx.doi.org/10.24036/sjdgge.v2i2.157.

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The purpose of this study was to analyze and describe the public perception of traffic jam in Kuala Lumpur, Malaysia, and analyze the factors that caused traffic jam in Kuala Lumpur, Malaysia. This research is a qualitative descriptive study. Data collection techniques use observation, interviews and documentation as data collection instruments. Furthermore, the data will be analyzed using qualitative descriptive analysis. The type of data used is primary data. Primary data in the form of observations, interviews and documentation. The results of this study revealed 1) public perception of tra

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Lubis, Adina Sari, Zulkarnain A. Muis, and Triana Nasution. "Pemodelan Hubungan Parameter Karakteristik Lalu Lintas pada Jalan Tol Belmera." MEDIA KOMUNIKASI TEKNIK SIPIL 22, no. 2 (2016): 151. http://dx.doi.org/10.14710/mkts.v22i2.12878.

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Belmera toll road in North Sumatra was the first toll road, links Belawan-Medan-Tanjung Morawa. The aim of this research is to find the relationship model between speed, density and volume on Belmera toll road based on a traffic study. The traffic study which embodies volume study and the speed of vehicles were divided into 5 vehicle classification, into 2 traffic lines (Entrance and Exit Tanjung Morawa’s toll gates), was conducted on Friday and Saturday around the peak hour on each traffic current. The study concluded that Greenberg model is the best approach for traffic current on Belmera to

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Kawasaki, Yosuke, Yusuke Hara, and Masao Kuwahara. "State-Space Model for Traffic State Estimation of a Two-Dimensional Network." Journal of Disaster Research 13, no. 2 (2018): 326–37. http://dx.doi.org/10.20965/jdr.2018.p0326.

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This study proposes a real-time monitoring method for two-dimensional (2D) networks via the fusion of probe data and a traffic flow model. In the Great East Japan Earthquake occurring on March 11, 2011, there was major traffic congestion as evacuees concentrated in cities on the Sanriku Coast. A tragedy occurred when a tsunami overtook the stuck vehicles. To evacuate safely and efficiently, the state of traffic must be monitored in real time on a 2D network, where all networks are linked. Generally, the traffic state is monitored only at observation points. However, observation data presents t

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Yoo, Sang-Lok, Seong-Book Park, Young-Soo Park, and Jae-Yong Jeong. "A Study on the Observation Days of Maritime Traffic Investigation." Journal of the Korean Society of Marine Environment and safety 21, no. 4 (2015): 397–402. http://dx.doi.org/10.7837/kosomes.2015.21.4.397.

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45

Tadaki, Shin-ichi, Katsuhiro Nishinari, Macoto Kikuchi, Yuki Sugiyama, and Satoshi Yukawa. "Observation of Congested Two-lane Traffic Caused by a Tunnel." Journal of the Physical Society of Japan 71, no. 9 (2002): 2326–34. http://dx.doi.org/10.1143/jpsj.71.2326.

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Quante, Laura, Kay Gimm, and Caroline Schießl. "Trajectory-based traffic observation of cooperation at a road narrowing." at - Automatisierungstechnik 71, no. 4 (2023): 249–58. http://dx.doi.org/10.1515/auto-2023-0003.

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Abstract Understanding human interactions in today’s transportation system is a prerequisite for developing well-accepted cooperatively interacting autonomous vehicles. This paper is devoted to the two-sided narrow passage scenario and uses trajectory data to investigate drivers’ interaction behavior when encountering each other from opposite directions. Trajectory data of 209 encounters at a road narrowing were analyzed in terms of drivers’ approaching behavior and arrival order. The exploratory analysis has shown that in this specific location an informal traffic rule has developed: It was n

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Isradi, Muhammad, Zainal Arifin, Muhammad Ikhsan Setiawan, Ronny Durrotun Nasihien, and Joewono Prasetijo. "Traffic performance analysis of unsignalized intersection using the Traffic Conflict Parameter technique." SINERGI 26, no. 3 (2022): 397. http://dx.doi.org/10.22441/sinergi.2022.3.015.

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The unsignaled intersection of Jalan H Djole – Jalan Pasar Lama in Bekasi City is a densely populated commercial area with high economic activity. The lack of facilities and infrastructure that causes traffic jams at the intersection also raises the potential for conflict. This study aims to analyze the level of service, the type of conflict, and the traffic conflict complexity at an unsignaled intersection. The field survey method obtains primary data on the conflict approach and traffic volume. The analysis showed that the highest traffic volume was 3,810 passenger cars unit/hour with a DS v

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Kang, Minkoo, Gyeongsik Yang, Yeonho Yoo, and Chuck Yoo. "Proactive Congestion Avoidance for Distributed Deep Learning." Sensors 21, no. 1 (2020): 174. http://dx.doi.org/10.3390/s21010174.

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This paper presents “Proactive Congestion Notification” (PCN), a congestion-avoidance technique for distributed deep learning (DDL). DDL is widely used to scale out and accelerate deep neural network training. In DDL, each worker trains a copy of the deep learning model with different training inputs and synchronizes the model gradients at the end of each iteration. However, it is well known that the network communication for synchronizing model parameters is the main bottleneck in DDL. Our key observation is that the DDL architecture makes each worker generate burst traffic every iteration, w

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Syafdani, Rheyfan, and Putu Harry. "Modeling and Simulation of Vehicle Velocity-Density on Buah Batu Road Using Second-Order Polynomial Regression." Jurnal Indonesia Sosial Teknologi 5, no. 11 (2024): 4854–63. https://doi.org/10.59141/jist.v5i11.1344.

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The problem of traffic density is a complex problem in the world of land transportation, especially in urban areas, including Bandung City. Buah Batu Road, one of the main roads in Bandung City which is 13 meters wide and 1.70 kilometers long, connecting Bandung City and Bandung Regency. And this study examines the relationship between vehicle speed and traffic density on Buah Batu Road, Bandung. Using the macroscopic Lighthill-Whitham Richards (LWR) model, Second Order Polynomial Regression, and Lax-Wendroff scheme simulation. This study aims to obtain the speed-density function for traffic.

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Saputra, Riza Hadi. "Simulasi Lampu Lalu Lintas Simpang Tiga Balikpapan Permai berbasis PLC OMRON CP1E-N30SDR-A." JTT (Jurnal Teknologi Terpadu) 7, no. 1 (2019): 29–37. http://dx.doi.org/10.32487/jtt.v7i1.577.

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Today on the highway, especially on crossing roads, motor vehicle users are increasing, both motorbike and car drivers. Not only that, it can be seen from the number that has increased greatly every day. This situation requires the existence of a time setting, whose purpose is nothing but to reduce congestion to the risk of accidents. Therefore, in this study, a traffic light simulation is controlled by OMRON CP1E-N30SDR-A PLC. Traffic light simulation at the three intersections based on PLC OMRON CP1E-N30SDR-A has been made a traffic light control prototype to set the timing of traffic lights

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