Intelligent Traffic signal control based on deep reinforcement learning
基于深度强化学习的智能交通信号控制

摘要

随着人工智能的日益发展和我国城市化战略的实施，交通信号已经成为一个重要的因素和热点问题。交通问题严重影响城市的可持续发展，给城市的人们带来时间和安全问题的困扰。交通与人工智能技术相结合，利用人工智能和交通相关知识处理交通问题成为趋势。基于强化学习解决智能交通信号控制问题，解决现有工作中的不足。一个是公平性问题，另一个是多交叉口控制中的通信问题。通过深度强化学习的方式，使通更加智能化，工作效率提高。

Abstract

With the development of artificial intelligence and the implementation of urbanization strategy, traffic signal has become an important factor and hot problem. Traffic problems seriously affect the sustainable development of the city, and bring time and safety problems to the people in the city. The combination of traffic and artificial intelligence technology, using artificial intelligence and traffic-related knowledge to deal with traffic problems has become a trend. To solve the problem of intelligent traffic signal control based on reinforcement learning and solve the shortcomings in the existing work. One is the fairness problem and the other is the communication problem in multi-intersection control. Through the way of deep reinforcement learning, make Tong more intelligent and improve work efficiency