In the context of road urban traffic management, the problem of parking spots search is a major issue because of its serious economic and ecological fallout. In this paper, we propose a multi-agent system that aims to decrease, for private vehicles drivers, the parking spots search time. In the system that we propose, a community of drivers shares information about spots availability. Our solution has been tested following different configurations. The first results show a decrease in parking spots search time.

In the context of road urban trafic management, the problem of parking spots search is a major issue because of its serious economic and ecological fallout. In this paper, we propose a multi-agent system that aims to decrease, for private vehicles drivers, the parking spots search time. In the system that we propose, a drivers community shares information about spots availability. The decrease in search time is obtained thanks to agents communication and cooperation. The communication between agents takes place via an inter-vehicular network, not imposing any costly infrastructure. The cooperation model necessitates no prior information and ensures the scalability of the proposed system. Implemented with the Madkit platform, our solution has been tested following different configurations. The first results show a decrease in parking spots search time.

In this paper, we define the online localized resource allocation problem, especially relevant for modeling transportation applications. This model takes into account simultaneously the dynamic locations of the resources and the consumers, together with their online nondeterministic appearance. We instantiate the model with the urban parking management problem, and propose a multiagent system to solve it. The solution is based on a community of drivers who share their knowledge about available parking spots.