Intelligent Parking Negotiation Based on Agent Technology

In order to solve the parking problems in the metropolises, a new approach integrating active pattern for parking guidance information system composed of parks, cars and parking information service center and traffic management center is proposed. A multi-phase navigation method based on a two-layer traffic map is employed for parking routes negotiation and guidance. The system is implemented based on an extended FIPA architecture through using mobile agent, message queue, agent container and agent execution environment, making full use of the interoperability of FIPA standards and the flexibility of mobile agent. The whole service environment can automatically execute park searching, parking price negotiation, parking space booking and parking routes negotiation and guidance using the intelligence, adaptability and collaboration of agents.