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Title:Framework of Adaptive Intersection Traffic Control Strategy for Urban Traffic Network Subjected to Disruptions
Authors:Kaisen Yao and Suren Chen
University:Colorado State University
Publication Date:Aug 2023
Report #:MPC-23-503
Project #:MPC-679
TRID #:01896014
Keywords:adaptive control, incident management, traffic queuing, traffic signal control systems, urban highways



Mitigating congestion at urban traffic system intersections following major hazards and incidents is a crucial step to maximize the evacuation, rescue and recovery efficiency and prevent a hazard from turning into a disaster. An optimized traffic signal design strategy can effectively contribute to maintaining an efficient traffic system operation despite various disruptions. Most existing studies focus on static and generic congestion scenarios during the recovery stage rather than realistic time-progressive scenarios covering the entire process following a disruption. An adaptive traffic signal control strategy in response to traffic disruptions at a single intersection is proposed by covering both the incident and recovery stages. Dynamic phase selection (DPS) technology is applied to adjust the traffic signal control plan adaptively during the incident stage, while the queue length dissipation (QLD) algorithm is adopted to carry out optimal green time calculation during the recovery stage. The proposed methodology is demonstrated by considering disruptions caused by several typical vehicle crashes at intersections. The proposed DPS+QLD traffic signal strategy is found to improve the resiliency of a typical intersection against disruptions by clearing the queue faster, reducing overall traffic loss time, and maintaining stable mobility with superior performance over conventional fixed and actuated traffic signal plans.

How to Cite

Yao, Kaisen, and Suren Chen. Framework of Adaptive Intersection Traffic Control Strategy for Urban Traffic Network Subjected to Disruptions, MPC-23-503. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2023.

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050