Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14363
Title: An agent-based model to evaluate carpooling at large manufacturing plants
Authors: BELLEMANS, Tom 
Bothe, Sebastian
CHO, Sungjin 
Giannotti, Fosca
JANSSENS, Davy 
KNAPEN, Luk 
Körner, Christine
May, Michael
Nanni, Mirco
Pedreschi, Dino
Stange, Hendrik
Trasarti, Roberto
YASAR, Ansar 
WETS, Geert 
Issue Date: 2012
Source: Shakshuki, Elhadi; Younas, Muhammad (Ed.). Procedia Computer Science 10 (2012), p. 1221-1227
Series/Report: Procedia Computer Science
Series/Report no.: 10
Abstract: Carpooling is thought to be part of the solution to resolve traffic congestion in regions where large companies dominate the traffic situation because coordination and matching between commuters is more likely to be feasible in cases where most people work for a single employer. Moreover, carpooling is not very popular for commuting. In order for carpooling to be succesful, an online service for matching commuter profiles is indispensable due to the large community involved. Such service is necessary but not sufficient because carpooling requires rerouting and activity rescheduling along with candidate matching. We advise to introduce services of this kind using a two step process(1) an agent-based simulation is used to investigate opportunities and inhibitors and (2) online matching is made available. This paper describes the challenges to build the model and in particular investigates possibilities to derive the data required for commuter behavior modeling from big data (such as GSM, GPS and/or Bluetooth).
Keywords: agent-based modeling; carpooling; big data; optimization; profile matching
Document URI: http://hdl.handle.net/1942/14363
DOI: 10.1016/j.procs.2012.08.001
ISI #: 000314400700160
Category: C1
Type: Proceedings Paper
Validations: ecoom 2014
Appears in Collections:Research publications

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