Coordinated control model for arterials with asymmetric traffic

• Published in: Journal of intelligent transportation systems Vol. 27; no. 6; pp. 752 - 768
• Main Authors: Peng, Xianyue, Wang, Hao
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 02.11.2023; Taylor & Francis Ltd
• Subjects: Algorithms; Arterial signal coordination; asymmetric traffic; Asymmetry; Integer programming; Linear programming; Mixed integer; mixed-integer linear programming; Optimization; oversaturated traffic control; Quadratic programming; Simulation models; Traffic congestion; Traffic models
• ISSN: 1547-2450; 1547-2442
• DOI: 10.1080/15472450.2022.2078204

To alleviate the congestion caused by the tidal traffic and to improve the operational performance of both directions in arterials, this paper proposes a coordinated control model for arterials with asymmetric traffic demands in both oversaturated and unsaturated directions. The model utilizes a three-step architecture: (1) A mixed-integer linear programming model is built to maximize the throughput according to the relationship between traffic supply and demand as well as the balance between inflow and outflow. (2) A quadratic programming model is constructed to minimize the vehicle delay in the oversaturated direction based on Lighthill-Whitham-Richards theory. (3) A mixed-integer linear programming model is built to maximize the variable bandwidth in the unsaturated direction by introducing the relaxation variable. Furthermore, a three-step algorithm is used to solve the model and obtain the optimal arterial signal timing. Finally, a simulation model is put forward to verify the coordinated model. The results indicate that the model meet the asymmetric traffic demand through optimizing the arterial throughput, reducing delay in the oversaturated direction and maximizing the green wave bandwidth in the unsaturated direction.