Chapter4 1 4. A Conceptual Framework for Modeling Smart Parking

Abstract Vehicles are highly used in the city. If the drivers of vehicles have an appointment in the city, they are looking for parking. Thus, they need to know where to find one in real time. In this paper, we present a smart model that is based on a combination of multi-agent system and genetic algorithm (MAS-GA). The smart model can help the drivers find the optimal parking when the drivers make a request for parking according to their position on the road and the waiting and parking time. This smart model is based on four parameters: the availability of parking, cost of parking, the distance between the actual position of the vehicle and the destination parking, and traffic congestion. We can also add the time to arrive a destination parking. Thus, the proposed smart model helps to maximize the utilization of space resources of a city as parking and reduce the waiting and parking time.