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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17636

Title: Multi-agent simulation of individual mobility behavior in carpooling
Authors: Galland, Stephane
Knapen, Luk
Yasar, Ansar-Ul-Haque
Gaud, Nicolas
Janssens, Davy
Lamotte, Olivier
Koukam, Abderrafiaa
Wets, Geert
Issue Date: 2014
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 45, p. 83-98
Abstract: Carpooling is an emerging alternative transportation mode that is eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission and traffic congestion. The procedure of carpooling consists of a number of steps namely; (i) create a motive to carpool, (ii) communicate this motive with other agents, (iii) negotiate a plan with the interested agents, (iv) execute the agreed plans, and (v) provide a feedback to all concerned agents. In this paper, we present a conceptual design of an agent-based model (ABM) for the carpooling a that serves as a proof of concept. Our model for the carpooling application is a computational model that is used for simulating the interactions of autonomous agents and to analyze the effects of change in factors related to the infrastructure, behavior and cost. In our carpooling application, we use agent profiles and social networks to initiate our agent communication model and then employ a route matching algorithm, and a utility function to trigger the negotiation process between agents. We developed a prototype of our agent-based carpooling application based on the work presented in this paper and carried out a validation study of our results with real data collected in Flanders, Belgium. (C) 2014 Elsevier Ltd. All rights reserved.
Notes: [Galland, Stephane; Gaud, Nicolas; Lamotte, Olivier; Koukam, Abderrafiaa] UTBM, IRTES SET, Multiagent Grp, F-90010 Belfort, France. [Knapen, Luk; Yasar, Ansar-Ul-Haque; Janssens, Davy; Wets, Geert] Hasselt Univ, Transportat Res Inst IMOB, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/17636
DOI: 10.1016/j.trc.2013.12.012
ISI #: 000340301600007
ISSN: 0968-090X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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