Zhang, Zhonggen (TongJi University), Zhu, Jichen (Tongji University), Yang, Xiaoguang (Tongji University), long, kejun (School of Traffic and Transportation Engineering Changsha Univer)

Joint Optimization of Traffic Signal and Vehicle Route Via Alternating Direction Method of Multipliers

Scheduled for presentation during the Regular Session "S03b-Connected Vehicle Technologies and Intelligent Infrastructure Systems" (WE-EA-T3), Wednesday, November 19, 2025, 14:50−15:30, Southport 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Abstract

This study proposes an integrated optimization model for simultaneous traffic signal and vehicle routing. The model jointly optimizes decentralized signal timing plans and individual vehicle routes to minimize vehicle delays. It explicitly captures the relationship between individual routing decisions and the traffic flow dynamics at signalized intersections. To enhance computational efficiency, an Alternating Direction Method of Multipliers (ADMM) is developed to decompose the integrated problem into several subproblems. Each vehicle can independently optimize its route while coordinating with the signal controller’s decisions through information exchange. Simulation results demonstrate that the proposed method ensures better coordination between signal timing and vehicle routes, reducing the travel time and improving network efficiency. The ADMM algorithm solves each subproblem in approximately 0.1s, indicating the ability of real-time implementation in real-world scenarios.