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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.

The main goals of the demonstrator developed within the FRDISI (Foundation for Research, Development and Innovation in Engineering Sciences) in Casablanca (Morocco) are to allow the development of new concepts and tools in smartparking management. It will also permit to experiment other smart sensors and parking management analysis algorithms. The demonstrator will offer a platform to develop and experiment innovative solutions for an efficient management of the energy consumption of all the infrastructure and physical equipment of the smart-parking. Through our demonstrator, FRDISI will be able to help drivers, through a web or android application, to reduce parking search time, to make place reservation. This application proposes a lot of innovative functionality among them a reservation system. It will help the parking owners to increase the rotations of their parking spaces (near malls, near airports) which can positively impact the economic profitability of the parking infrastructure. In addition, the demonstrator produces green energy and is energy autonomous. For cities responsible, it proposes steps for the support tools' development in smart-parking and analyze the uses for a better definition of the mobility policy of the city. FRDISI will launch many subjects in applied research domain to improve and develop the know-how in the field, to develop and experiment innovative futurist solutions such as optimization algorithm in the parking rules according to demand (handicap, drop-off, public transport, funds conveyors, neighborhood markets, schools, events, etc.), implementing new sensor technologies and new modes of energy-efficient communication while taking advantage of existing telecommunication infrastructures (Internet of Things IoT Concept). As our platform will encourage the green mobility solutions by providing smart load for electric vehicles.

Smart Parking is essential for any future smart cities due to the tremendous growth of the car fleet. Such infrastructures require a certain amount of equipment. Indeed, smart parking integrates a lot of actors, to manage the parking its equipment must be managed accordingly. Here, is proposed a distributed architecture to manage them by collecting efficiently their data. Two types of data relating to the parking must be collected: those coming from the deployed equipment in the parking and those coming from the internet due to remote users. Thus, a system of two main servers based on the multi-agent concept is proposed. This system manages the parking platform. The first server is dedicated to the parking equipment data collection (Processing Server–PS). The second server (Processing Web Server–PWS) collects the users’ online data such as reservation, and it is responsible for pricing policies, and receive post-processed data from the Processing Server. The parking equipment integrates a lot of commercial solutions, an intelligent multi-platform application based on this two server philosophy is developed and can be used for parking operation by users and parking managers. The flowcharts of the agents from the two mains servers are presented. These flowcharts are currently used in our demonstrator and still under improvements. Here, we present the architecture (hardware and software) of our smart parking demonstrator developed by our department and suitable for the experimentation of our future work related to this hot topic.

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