Adaptive traffic control systems aim to smooth traffic flows, increase throughput, and reduce delays, environment emissions and fuel consumption. A decentralised control approach, allowing individual controllers to make decisions based on information they receive from loop detectors and from each other, is proposed for a new generation of adaptive traffic signal control strategies. The primary objective of this study is to demonstrate the feasibility of using agent technologies to develop a decentralised adaptive traffic control system. By modelling the signal controllers as intelligent agents, it is possible to tune the actions of individual controllers through the agent concept of collaboration. The study also aims to evaluate the performance of the agent-based traffic signal control system by comparing its performance to other adaptive signal control systems. This will be achieved in simulation studies by developing an interface to link the agent-based traffic signal control system with a microscopic traffic simulation tool. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E210528.
Samenvatting