1. A Switching-Based Adaptive Dynamic Programming Method to Optimal Traffic Signaling.
- Author
-
Liu, Di, Yu, Wenwu, Baldi, Simone, Cao, Jinde, and Huang, Wei
- Subjects
DYNAMIC programming ,TRAFFIC signal control systems ,TRAFFIC signs & signals ,TRAFFIC flow ,REINFORCEMENT learning ,PAPER arts ,AUTOMOBILE dynamics - Abstract
The work presented in this paper concerns a switching-based control formulation for multi-intersection and multiphase traffic light systems. A macroscopic traffic flow modeling approach is first presented, which is instrumental to the development of a model-based and switching-based optimization method for traffic signal operation, in the framework of adaptive dynamic programming (ADP). The main advantage of the switching-based formulation is its capability to determine both “when”’ to switch and “which” mode to switch on without the need to use the cycle-based average flow approximation typical of state-of-the-art formulations. In addition, the framework can handle different cycle times across intersections without the need for synchronization constraints and, moreover, minimum dwell-time constraints can be directly enforced to comply with minimum green/red times in each phase. The simulation experiments on a multi-intersection and multiphase traffic light systems are presented to show the effectiveness of the method. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF