Self-learning adaptive traffic signal control for real-time safety optimization
Accident Analysis & Prevention(2020)
摘要
•A novel self-learning ATSC algorithm is developed to optimize safety in real time.•The developed algorithm adapts traffic signals using real-time CVs data.•The algorithm is validated using real traffic data of two existing intersections.•Various market penetration rates of CVs are investigated.•The results show a considerable reduction in rear-end traffic conflicts.
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关键词
Adaptive traffic signal control,Real-time safety optimization,Connected vehicles,Reinforcement learning,Traffic simulation,Real-time safety models
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