Results 21 to 30 of about 21,278 (261)
Optimal Seeds Discovery of Traffic Congestions [PDF]
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 2020 With the rapid adoption of wireless sensor networks (WSNs) into smart cities and vehicle networks, traffic problems can be evaluated and predicted in real-time. In this paper, we propose a data-driven approach to find out the most influential causes of traffic congestions.
Bermejo, C. (Carlos) +3 more
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Journal of Advanced Transportation, 2020 To understand the status quo of urban recurrent traffic congestion, the current results of recurrent traffic congestion, and gating control are reviewed from three aspects: traffic congestion identification, evolution trend prediction, and urban road ...
Changxi Ma +3 more
doaj +1 more source
Algorithms, 2020 In order to improve the efficiency of transportation networks, it is critical to forecast traffic congestion. Large-scale traffic congestion data have become available and accessible, yet they need to be properly represented in order to avoid overfitting,
Sen Zhang, Shaobo Li, Xiang Li, Yong Yao
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The Stability of Downtown Parking and Traffic Congestion [PDF]
SSRN Electronic Journal, 2009 In classical tra¢ c ‡ow theory, there are two velocities associated with a given level of tra¢ c ‡ow. Following Vickrey, economists have termed travel at the higher speed congested travel and at the lower speed hypercongested travel. Since the publication of Walters’classic paper (1961, Econometrica 29, 676699), there has been an on-going debate ...
Arnott, Richard, İnci, Eren
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Traffic congestion, Type A behavior, and stress. [PDF]
Journal of Applied Psychology, 1978 A quasi-experimental study was conducted to assess the effects of routine exposure to traffic congestion on the mood, physiology, and task performance of automobile commuters. Traffic congestion was conceptualized as an environmental stressor that impedes one's movement between two or more points.
Stokols, Daniel +3 more
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Complexity, 2017 Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic ...
Li Wang +8 more
doaj +1 more source
Evaluation of Main Traffic Congestion Degree for Restricted Waters with AIS Reports [PDF]
TransNav, 2010 Traditionally, marine traffic congestion degree in restricted waters is usually deduced from traffic volume or traffic density. Both of which, however, can not be easily and accurately determined and can not fully reflect the traffic congestion degree ...
Qinyou Hu +3 more
doaj
IEEE Access, 2020 A framework for traffic congestion prediction and visualization based on machine learning and Fuzzy Comprehensive Evaluation named MF-TCPV is proposed in this paper.
Leixiao Li +4 more
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Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas
ISPRS International Journal of Geo-Information, 2023 Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using
Jeong Seong +4 more
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Kink soliton characterizing traffic congestion [PDF]
Physical Review E, 1995 We study traffic congestion by analyzing a one dimensional traffic flow model. Developing an asymptotic method to investigate the long time behavior near a critical point, we derive the modified Korteweg-de Vries (mKdV) equation as the lowest order model.
Komatsu, Teruhisa S., Sasa, Shin-ichi
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