JOURNAL ARTICLE

Traffic Signal Control Method Based on A3C Reinforcement Learning

Maofan Wang

Year: 2021 Journal:   2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC) Vol: 30 Pages: 127-132

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.

Keywords:
Reinforcement learning Computer science Smoothness Traffic signal Traffic shaping SIGNAL (programming language) Real-time computing Floating car data Pedestrian Function (biology) Computer network Control (management) Simulation Transport engineering Engineering Network traffic control Artificial intelligence Traffic congestion

Metrics

3
Cited By
1.29
FWCI (Field Weighted Citation Impact)
7
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Elevator Systems and Control
Physical Sciences →  Engineering →  Control and Systems Engineering
Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
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