An Intelligent Based Model for Urban Demand-Responsive Passenger Transportation

Agent-based urban traffic service has been looked as an efficient tool for traffic services. However, the main problem is how to build an agent-based model for it. This research presents a multi-agent based demand responsive passenger transport services model, which adopts a multi-agents coordination approach for urban traffic services control. In this paper, we propose a new demand responsive transportation services information intelligent control hybrid model based on multi-agent system that performs the basic interface, planning and supports services for managing different types of demand responsive transportation. In this research, we expose the main features and the behaviors exhibited of the multi-agent system. Based on this model, a simplified multi-agent based demand responsive transportation services system can be developed that is effective for reducing traffic congestion and air pollution.