DocumentCode :
3157629
Title :
ACO for solving a multimodal transport problems using a transfer graph model
Author :
Hedi, Ayed ; Habbas, Zineb ; Khadraoui, Djamel
Author_Institution :
Univ. Paul Verlaine-Metz, Metz, France
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
285
Lastpage :
290
Abstract :
This paper proposes an algorithm based on a transfer graph model to compute a multimodal shortest path (MSP) between a given source node s and a destination node d. The first step of this algorithm consists of computing a database saving a large part of necessary data to provide a response to a user itinerary request. Whe show in this paper that using ant colony optimization metaheuristic (ACO) to compute this database, reduces considerably the memory space complexity comparing to the Dijskstra algorithm.
Keywords :
goods distribution; graph theory; optimisation; transportation; Dijskstra algorithm; ant colony optimization metaheuristic; memory space complexity; multimodal shortest path; multimodal transport problem; transfer graph model; Ant colony optimization; Bicycles; Computer networks; Databases; Legged locomotion; Management information systems; Marine vehicles; Motorcycles; Rail transportation; Shortest path problem; ACO; Dijkstra algorithm; Multimodal transport; Shortest Path Problem; Time dependent network problem; transfer graph;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
Type :
conf
DOI :
10.1109/ICCIE.2009.5223969
Filename :
5223969
Link To Document :
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