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The development of urban traffic control system asks for high performance and complex function of the signal controller at intersection. It causes increasing of cost and difficulty associated with operation, maintenance, upgrading and expansion of signal controller. In this paper, we introduce agent-based networked traffic control system which "control on demand". In this system, a traffic...
An artificial transportation system is a new type of traffic simulation software that employs agent modeling, distributed computing and concept of artificial societies to support the research and development in transportation. In this paper, models of vehicles, transportation infrastructures and a shopping center are described first, and the design and implementation of the basic ideas of artificial...
This paper presents an urban traffic control system using the multi-agent technology, called aDAPTS for agent-based Distributed and Adaptive Platform for Transportation Systems. Based on the proposed system architecture, we divide an urban traffic system into five different functional modules and define five types of agents correspondingly. The composition and structure of each agent is discussed...
This paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the...
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