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.
Original language | English |
---|---|
Pages (from-to) | 4160-4170 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Volume | 50 |
Issue number | 11 |
DOIs | |
Publication status | Published - 2020 |
Bibliographical note
Accepted Author ManuscriptKeywords
- Adaptive dynamic programming (ADP)
- dwell-time switching
- model-based and switching-based optimization
- traffic flow model
- traffic signal operation