Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24095
Title: Modeling Demand Responsive Transport using SARL and MATSim
Authors: CICH, Glenn 
KNAPEN, Luk 
Maciejewski, Michał
YASAR, Ansar 
BELLEMANS, Tom 
JANSSENS, Davy 
Issue Date: 2017
Publisher: Elsevier B.V.
Source: Procedia Computer Science, Elsevier B.V.,p. 1074-1079
Series/Report: Procedia Computer Science
Series/Report no.: 109
Abstract: Demand responsive collective transportation might be a solution to serve thin flows that occur when the average demand per time unit for travel between particular locations is small. Small capacity and/or specially equipped vehicles are deployed to serve low population density areas and mobility impaired passengers. The variability of the demand and the low vehicle capacity require daily optimal planning of routes. The cost for daily tours heavily depends on the temporal and spatial distribution of the demand. This paper proposes a co-simulation model to evaluate the profitability of thin flow service providers over multiple years of operation under specific condition of public compensation (subsidizing).
Notes: Cich, G (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Agoralaan, B-3590 Diepenbeek, Belgium. glenn.cich@uhasselt.be
Keywords: co-simulation; SARL; MATSim; agent-based modeling; demand responsive transport, thin flows, dynamic vehicle routing
Document URI: http://hdl.handle.net/1942/24095
DOI: 10.1016/j.procs.2017.05.387
ISI #: 000414533000144
Rights: © 2017 The Authors. Published by Elsevier B.V
Category: C1
Type: Proceedings Paper
Validations: ecoom 2018
Appears in Collections:Research publications

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