Optimize the occupation of parking lots by a network of multi-agents system

Choosing a parking lot where a driver tries to park and choosing the route they take to get there, are the results of complex decision process. This paper proposes a network of intelligent agents which can helps drivers to find a parking place, before or during their travel at anytime and anywhere. With reference to the objective that is interested to dispatching vehicles on all parking lots, this study offer three services: the search for a vacant parking place, directions to that parking place and booking the place for parking. This study takes on optimal route guidance algorithms, which are simulated and analyzed on Tunis urban network. The results of this study generated by the platform MATSim transport simulation; show that our approach optimizes the occupation of parking lots.