Self-Organizing Traffic at a Malfunctioning Intersection [PDF]
Traffic signals and traffic flow models have been studied extensively in the past and have provided valuable insights on the design of signalling systems, congestion control, and punitive policies. This paper takes a slightly different tack and describes
Sugata Mitra, Sujai Kumar
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A Cooperative Merging Method for Mixed Traffic Based on Enhanced Graph Reinforcement Learning with Vehicle Collaboration Graphs. [PDF]
Guo H, Fu H, Xu D, Gu T, Qiao E, Ji B.
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Traffic Management Systems [PDF]
This study uses regression analysis to evaluate long-run traffic management system performance. Three important traffic management systems in the Twin Cities metro area - Ramp Metering, Variable Message Signs (VMS), and Freeway Service Patrol (the ...
Wei Chen, David Levinson
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MTF-NET: A mixed traffic flow multi-target detection network based on full-field perception and adaptive optimization. [PDF]
Li S +5 more
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Deep reinforcement learning-based multi-lane mixed traffic ramp merging strategy. [PDF]
Zhou T +5 more
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Model performance specifications for police traffic radar devices.
Distributed by NTIS.Prepared by U.S National Highway Traffic Safety Administration.Cover title.Includes bibliographical references.Mode of access ...
United States. National Highway Traffic Safety Administration.
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Unsignalized intersection vehicle platoon formation scheduling method based on mixed traffic. [PDF]
Jiang J, Rui Y, Ran B.
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Pulse-Glide Behavior in Emerging Mixed Traffic Flow Under Sensor Accuracy Variations: An Energy-Safety Perspective. [PDF]
Huang M, Sun J, Li H, Miao Q.
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Modeling and Analysis of Mixed Traffic Flow Considering Driver Stochasticity and CAV Connectivity Uncertainty. [PDF]
Zeng Q, Hao S, Zhao N, Liu R.
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Manual of traffic control signal design
Cover title.; Includes bibliographical references (leaves 5-6).; Harvested from the web on 2/24 ...
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