Results 21 to 30 of about 26,785 (264)
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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Advances in Mechanical Engineering, 2018 Traffic congestion index reflects the state of traffic flow. The detection and analysis on traffic congestion index can be used to estimate the operation status of roads, to plan and organize road traffic for traffic managers, and to make the reasonable ...
Wan-Xiang Wang, Rui-Jun Guo, Jing Yu
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Selective Scale-Aware Network for Traffic Density Estimation and Congestion Detection in ITS
SensorsTraffic congestion detection in surveillance video is crucial for road traffic condition monitoring and improving traffic operation efficiency. Currently, traffic congestion is often characterized through traffic density, which is obtained by detecting ...
Cheng Jian +3 more
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Research on Traffic Congestion Forecast Based on Deep Learning
Information, 2023 In recent years, the rapid economic development of China, the increase of the urban population, the continuous growth of private car ownership, the uneven distribution of traffic flow, and the local congestion of the road network have caused traffic ...
Yangyang Qi, Zesheng Cheng
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European Journal of Transport and Infrastructure Research, 2002 This paper addresses the issue of why measures designed to ease traffic congestion have met with limited success in North American cities. To this end, specific types of supply and demand strategies (i.e., roadway construction, jobs-housing balance and ...
Darren M. Scott
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Promet (Zagreb)Urban traffic congestion has emerged as a global challenge constraining sustainable development. Estimating the traffic congestion probability is crucial since it presents valuable information for formulating congestion mitigation strategies and ...
Wanru SUN, Hongjun CUI, Minqing ZHU
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Advances in Mechanical Engineering, 2013 With the rapid development of urban transport and the sharp increase in vehicle population, traffic accidents form one of the most important causes of urban traffic congestion other than the imbalance between traffic supply and demand. Traffic congestion
Xian-sheng Li +5 more
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Scenario Model to Mitigate Traffic Congestion and Improve Commuting Time Efficiency
Journal of Information Systems Engineering and Business Intelligence, 2021 Background: Commuting time is highly influenced by traffic congestion. System dynamics simulation can help identify the cause of traffic problems to improve travel time efficiency.
Shabrina Luthfiani Khanza +2 more
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Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
Advanced Robotics Research, EarlyView.The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source