Traffic Signal Control Method Based on A3C Reinforcement Learning

Maofan Wang
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引用次数: 1

Abstract

With the growth of national strength, China's infrastructure construction capacity is growing. Traffic signal light is the soul of traffic dispatching, which can improve traffic smoothness and ensure pedestrian safety. The complicated traffic network makes China all-round, but at the same time, it is also more urgent to have more intelligent and efficient dispatching capacity. The conventional traffic signal lights are isolated and static, but traffic is complex and random. Thus, the function of traffic dispatching can be achieved, and the dynamic and intelligent management of traffic can be realized.
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基于A3C强化学习的交通信号控制方法
随着国力的增强,中国的基础设施建设能力不断增强。交通信号灯是交通调度的灵魂,它可以提高交通的平稳性,保证行人的安全。复杂的交通网络使中国全方位发展,但同时,拥有更智能、高效的调度能力也更加迫切。传统的交通信号灯是孤立的、静态的,而交通是复杂的、随机的。从而实现交通调度功能,实现交通的动态化、智能化管理。
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