Integrating mobile agent with multi-agent system for intelligent parking negotiation and guidance

In metropolises, parking fees vary widely and change dynamically in different periods of time and may not always match the drivers´ expectation price. In order to provide the consumers a bargaining platform, an intelligent parking negotiation and guidance system is proposed through integrating the mobile agent with multi-agent system. The use of mobile agent allows the dynamic, stable and fast negotiation between cars and parks. Mobility can reduce negotiation time and data transmission over the wireless network. A negotiation algorithm based on human´s bargaining process is also proposed in this paper. Simulation shows that the predetermined negotiation time can greatly influence the negotiation times.