Multi-Objective Adaptive Traffic Signal Control Using Fuzzy Control and Q-Learning

A multi-objective adaptive traffic signal control algorithm using fuzzy control and Q-learning was proposed to improve the efficiency, traffic safety, and operational stability of signalized intersections. In this algorithm, the signal cycle length was derived by fuzzy control, then, to minimize del...

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Veröffentlicht in:	2024 12th International Conference on Traffic and Logistic Engineering (ICTLE) S. 57 - 62
Hauptverfasser:	Ding, Naikan, Ma, Zufan, Lu, Zhaoyou, Wan, Chengpeng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.08.2024
Schlagworte:	adaptive traffic signal control Computer crashes Delays Fuzzy control Heuristic algorithms Information entropy Logistics multi-objective optimization Q-learning Safety Simulation Stability analysis traffic simulation
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