An artificial intelligence approach for parking facilities management

The number of trips by private cars has significantly increased in recent decades in many cities. At the same time, parking capacities have not kept up with this increase in urban travel demand. Parking facilities management has significant influence on the level of traffic congestion. Like emergent phenomena, traffic congestion is frequently unpredictable and even sometimes counterintuitive. The promising way for analyzing this emergent phenomenon is the development of simulation models that can simulate behavior of every agent (drivers, parking authorities, law enforcement and city government). The agent-based model for parking facilities management has been developed. The agent based model represents the "bottom-up approach" to problem solving is appropriate tool that can help us to better understand how unplanned coordination evolves under different parking pricing strategies and different levels of parking enforcement