In this section, we will introduce the most important works that treat this issue. Many works have been studied to propose an intelligent parking. Finally, we add some experimental results and conclusion. Then, we describe our proposed approach which is based on two approaches, the multi-agent system and genetic algorithm (MAS-GA). Firstly, we will present a state-of-the-art review for allocation of vehicle into parking. This paper is organized as the following. Then, we develop a GIS system which allows knowing the position of the vehicle and all data associated with it as vehicle id, waiting time, and distance between proposed parking and vehicle.Īfter a deep study of the subject, we have found three factors that can affect the allocation of vehicles into the optimal parking, as the waiting and parking time, parking costs, distance between the vehicle and proposed parking. Thus, all agents can cooperate and negotiate to find the best solution which can plan for allocation of vehicle in parking. In this paper, we propose to use a multi-agent system which allows distributing the different tasks between the agents when each agent can perform genetic algorithms to find the optimal parking in real time, thus adapting rapidly to traffic congestion the availability of place in the parking. The first is “what is the optimal method to manage, reduce, and control the parking in the city?” The second is “what is the optimal strategy which permits finding the optimal parking?” We will treat two main questions in this paper. Economic income is also affected by this decision system that can manage and control the availability of parking in real time in the same time, they often lose revenue due to inadequate meter enforcement and no parking, standing, and loading zone violations.
Thus, the vehicle needs to have a decision system that allows it to find the optimal parking in a short time.
#Who models for sbart drivers#
Parking in the city can be an attractive subject because 30% of traffic congestion is caused by drivers circling to find an available parking for their vehicles.
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