Titre :

An Agent-based Distributed Approach for Bike Sharing Systems

Auteur(s) :

Wang, Ningkui [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Zgaya, Hayfa [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Institut Lillois d'Ingénierie de la Santé [ILIS]
Mathieu, Philippe [Auteur]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Systèmes Multi-Agents et Comportements [SMAC]
Hammadi, Slim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
LAGIS-OSL

Titre de la manifestation scientifique :

International Conference on Computational Science (ICCS 2018)

Ville :

Wuxi

Pays :

Chine

Date de début de la manifestation scientifique :

2018-06-11

Titre de la revue :

LNCS

Éditeur :

Springer

Mot(s)-clé(s) en anglais :

Preference
Bike sharing system
Resource assignment
Optimization
Computer science
Agents
Trust

Discipline(s) HAL :

Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Intelligence artificielle [cs.AI]

Résumé en anglais : [en]

Shared bikes are wildly welcomed and becoming increasing popular in the world, as a result, quite a few bike sharing systems have been conducted to provide services for bike users. However, current bike sharing systems are ...
Lire la suite >Shared bikes are wildly welcomed and becoming increasing popular in the world, as a result, quite a few bike sharing systems have been conducted to provide services for bike users. However, current bike sharing systems are not flexible and considerate enough for public bike users because of the fixed stations and not well emphasized about user's satisfactions. In this paper, an agent-based distributed approach for bike sharing systems is proposed, this approach aims at helping users obtain a needed shared bike successfully and efficiently. We pay more attention on user's preferences to improve the satisfaction to the target shared bike, meanwhile, trust and probability are considered to improve the efficiency and success rate. To the end, results from simulation studies demonstrate the effectiveness of our proposed method.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL