An agent-based platform for drivers and car parks negotiation

In modern prosperous cities, there is a great need for advanced parking assistant systems to reduce the hustle for the drivers. Such systems are a kind of intelligent transportation system which provides drivers with parking information. Existing parking information systems usually ignore the parking price factor and do not automatically provide optimal car parks matching drivers' demand. Currently, the parking price has no negotiable space; consumers lose their bargaining position to obtain better and cheaper parking for their purposes. This paper takes into account the negotiable space on parking prices, makes a strategic decision by adopting the intelligent agent system, and then select the optimal car park for the driver. These modern intelligent agents have the capability of planning, mobility, execution monitoring, coordination, etc. These characteristics can be utilized to build an integrated parking assistant system. The autonomous coordination activities challenge traditional approaches and call for new paradigms and supporting middleware. An agent-based coordination network was proposed to truly bring benefit to drivers and car park operators.