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Contrôle adaptatif des feux de signalisation dans les carrefours : modélisation du système de trafic dynamique et approches de résolution

Abstract : Adaptive traffic signal control is a decision making optimization problem. People address this crucial problem constantly in order to solve the traffic congestion at urban intersections. It is very popular to use intelligent algorithms to improve control performances, such as traffic delay. In the thesis, we try to study this problem comprehensively with a microscopic and dynamic model in discrete-time, and investigate the related algorithms both for isolated intersection and distributed network control. At first, we focus on dynamic modeling for adaptive traffic signal control and network loading problems. The proposed adaptive phase sequence (APS) mode is highlighted as one of the signal phase control mechanisms. As for the modeling of signal control at intersections, problems are fundamentally formulated by Markov decision process (MDP), especially the concept of tunable system state is proposed for the traffic network coordination. Moreover, a new vehicle-following model supports for the network loading environment.Based on the model, signal control methods in the thesis are studied by optimal and near-optimal algorithms in turn. Two exact DP algorithms are investigated and results show some limitations of DP solution when large state space appears in complex cases. Because of the computational burden and unknown model information in dynamic programming (DP), it is suggested to use an approximate dynamic programming (ADP). Finally, the online near-optimal algorithm using ADP with RLS-TD(λ) is confirmed. In simulation experiments, especially with the integration of APS, the proposed algorithm indicates a great advantage in performance measures and computation efficiency.
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Submitted on : Monday, September 17, 2018 - 4:31:06 PM
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  • HAL Id : tel-01875701, version 1



Biao Yin. Contrôle adaptatif des feux de signalisation dans les carrefours : modélisation du système de trafic dynamique et approches de résolution. Automatique. Université de Technologie de Belfort-Montbeliard, 2015. Français. ⟨NNT : 2015BELF0279⟩. ⟨tel-01875701⟩



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