中国科学院自动化研究所机构知识库

With the rapid development of Chinese economy
and automotive industry, urban traffic congestion has become
increasingly serious. Therefore, how to effectively alleviate the
traffic congestion and improve the efficiency of vehicles has
become the main concern. Traffic signal control is one of the
effective ways to solve urban traffic congestion. In this paper, a
traffic signal control method based on Action-Dependent
Heuristic Dynamic Programming (ADHDP) is investigated. The
control algorithm is simulated on two intersections, both of which
have two phases with four entrance approaches. The computer
simulation results show that the control method has the better
ability of on-line learning compared with traditional Fix-Time
Control, and can effectively improve the average speed of
vehicles, and reduce travel time and alleviate the traffic pressure.