Corporative Parking Location Choice and Route Guidance: The case of Urban Area of Tunis

Cruising for parking angers drivers, increases traffic congestion and pollution, and wastes fuel and time. This paper proposes and studies new strategies for parking guidance based on 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 bring vehicles to vacant parking place with the aim to reduce the traveling time and to ensure efficient use of available parking capacities, 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 algorithm, which is simulated and analyzed by the platform MATSim transport simulation.