An advanced GA-VNS combination for multicriteria route planning in public transit networks

Abstract : Nowadays, passengers in urban public transport systems do not only seek a short-time travel, but they also ask for optimizing other criteria such as cost and effort. Therefore, an efficient routing system should incsorporate a multiobjective analysis into its search process. Several algorithms have been proposed to optimally compute the set of nondominated journeys while going from one place to another such as the generalisation of the algorithm of Dijkstra. However, such approaches become less performant or even inapplicable when the size of the network becomes very large or when the number of criteria considered is very important. Therefore, we propose in this paper an advanced heuristic approach whereby a Genetic Algorithm (GA) is combined with a Variable Neighbourhood Search (VNS) to solve the Multicriteria Shortest Path Problem (MSPP) in multimodal networks. As transportation modes, we focus on railway, bus, tram and pedestrian. As optimization criteria, we consider travel time, monetary cost, number of transfers and the total walking time. The proposed approach is compared with the exact algorithm of Dijkstra, as well as, with a standard GA and a pure VNS. Experimental results have been assessed by solving real life itinerary problems defined on the transport network of the city of Paris and its suburbs. Results indicate that the proposed combination GA-VNS represents the best approach in terms of computational time and solutions quality for a real world routing system.
Type de document :
Article dans une revue
Expert Systems with Applications, Elsevier, 2017, 72, pp.67-82. 〈10.1016/j.eswa.2016.12.009〉
Liste complète des métadonnées

Littérature citée [42 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01586909
Contributeur : Omar Dib <>
Soumis le : mercredi 13 septembre 2017 - 13:50:40
Dernière modification le : mardi 19 septembre 2017 - 17:14:17
Document(s) archivé(s) le : jeudi 14 décembre 2017 - 12:52:22

Fichiers

ESWA_OmarDIB_Corrections_V05-1...
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Omar Dib, Laurent Moalic, M Manier, A Caminada. An advanced GA-VNS combination for multicriteria route planning in public transit networks. Expert Systems with Applications, Elsevier, 2017, 72, pp.67-82. 〈10.1016/j.eswa.2016.12.009〉. 〈hal-01586909〉

Partager

Métriques

Consultations de la notice

97

Téléchargements de fichiers

137