Volume 17, Issue 2, August 2015, Pages 430–442
Sana BENHASSINE1, Riadh HARIZI2, Rafaa MRAÏHI3, and Elyes KOOLI4
1 GEF-2A, The Higher School of Digital Economy, University of Monouba, Campus universitaire, 2010, Manouba, Tunisia
2 GEF-2A, The Higher Institute of Management of Tunis, Tunis University, Bouchoucha City, 2000, Bardo, Tunis, Tunisia
3 GEF-2A, The Higher School of Digital Economy, University of Monouba, Campus universitaire, 2010, Manouba, Tunisia
4 The High Institute of Technological Studies of Ksar-Hellal, Avenue Hadj Ali Soua, 5070, Tunisia
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Author Keywords: Intelligent car parking management, Multi-agent system, Benefit evaluation, Urban transportation, parking guidance.
Sana BENHASSINE1, Riadh HARIZI2, Rafaa MRAÏHI3, and Elyes KOOLI4
1 GEF-2A, The Higher School of Digital Economy, University of Monouba, Campus universitaire, 2010, Manouba, Tunisia
2 GEF-2A, The Higher Institute of Management of Tunis, Tunis University, Bouchoucha City, 2000, Bardo, Tunis, Tunisia
3 GEF-2A, The Higher School of Digital Economy, University of Monouba, Campus universitaire, 2010, Manouba, Tunisia
4 The High Institute of Technological Studies of Ksar-Hellal, Avenue Hadj Ali Soua, 5070, Tunisia
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
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.
Author Keywords: Intelligent car parking management, Multi-agent system, Benefit evaluation, Urban transportation, parking guidance.
How to Cite this Article
Sana BENHASSINE, Riadh HARIZI, Rafaa MRAÏHI, and Elyes KOOLI, “Corporative Parking Location Choice and Route Guidance: The case of Urban Area of Tunis,” International Journal of Innovation and Scientific Research, vol. 17, no. 2, pp. 430–442, August 2015.
