Abstract
To help improve the situation of urban transport in the city of Casablanca, we have studied and set up a smart parking system. In this paper, we evaluate the management of the parking entrance utilising artificial intelligence. In addition, we want to establish the limits of our solution and its ability to respond to different requests in real time.
Highlights
The world today has become a major project for the city of tomorrow, visions led by investors, idea carriers, and the governance of the city, whose objectives are the modernization of cities while exploiting the emergence of technology in everyday life through connected objects
During the phase of the parking tests, we noticed the presence of different elements, a non-linear system, heterogeneous data, different decisions to be taken according to the case, to be able to manage all these challenges and ensure a good functioning of the parking we thought of using artificial intelligence and more precisely the notion of agents
To guarantee the autonomy and proper functioning of the entrance, we have developed and implemented different agents, in the rest of this paper, we will describe a scenario at the parking entrance to clearly identify the role of each agent
Summary
The world today has become a major project for the city of tomorrow, visions led by investors, idea carriers, and the governance of the city, whose objectives are the modernization of cities while exploiting the emergence of technology in everyday life through connected objects. Current technologies (Iot, IoP) will be the right choice for efficient, sustainable systems capable of making decisions in real-time. In this perspective, different solutions with different approaches were proposed, either for the collection of information on the Internet of Things, crowdsourcing, predictions for a parking space () or the services offered. Author in [4] modeled the driver by an agent who has the behavior to drive, look for a parking space, parking and departure What they have deployed includes reactions to different scenarios such as price variance, or lack of places. After defining the multi-agent systems, we will introduce the agents responsible for input management, we will move on to defining the parameters of the queue and we end with a conclusion
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