A unified framework for vehicle rerouting and traffic light control to reduce traffic congestion

• Main Authors: CAO, Zhiguang, JIANG, Siwei, ZHANG, Jie, GUO, Hongliang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: agent-based traffic management; pheromone; proactive vehicle rerouting; online traffic light control; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8195; https://ink.library.smu.edu.sg/context/sis_research/article/9198/viewcontent/UnifiedFrameworkforVehicleRerouting_2017_pv.pdf
• Institution: Singapore Management University

As the number of vehicles grows rapidly each year, more and more traffic congestion occurs, becoming a big issue for civil engineers in almost all metropolitan cities. In this paper, we propose a novel pheromone-based traffic management framework for reducing traffic congestion, which unifies the st...