The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide efficient traffic regulation. Therefore, dynamic traffic signal control in intelligent transportation system (ITS) recently has received increasing attention. This study devised a multiagent architecture, the adaptive and cooperative traffic light agent model (ACTAM), for a decentralized traffic signal control system. The proposed architecture comprises a data storage and communication layer, a traffic regulation factor processing layer, and a decision-making layer. This study focused on utilizing the cooperation of multiagents and the prediction mechanism of our architecture, the forecast module, to forecast future traffic volume in each individual intersection. The forecast module is designed to forecast traffic volume in an intersection via multiagent cooperation by exchanging traffic volume information for adjacent intersections, since vehicles passing through nearby intersections were believed to significantly influence the traffic volume of specific intersections. The proposed architecture can achieve dynamic traffic signal control. Thus, total delay time of the traffic network under ACTAM can be reduced by 37% compared to the conventional fixed sequence traffic signal control strategy. Consequently, traffic congestion in urban areas can be alleviated by adopting ACTAM.
ACTAM: cooperative multi-agent system architecture for urban traffic signal control
IEICE Transactions on Information and Systems ; E88-D , 1 ; 119-126
2005
8 Seiten, 18 Quellen
Article (Journal)
English
Optimizing multi-agent based urban traffic signal control system
Taylor & Francis Verlag | 2019
|A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management
Online Contents | 2002
|Multi-intersection traffic signal cooperative control method
European Patent Office | 2023
|