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An agent-based model to evaluate carpooling at large manufacturing plants

: Bellemans, T.; Bothe, S.; Cho, S.; Giannotti, F.; Janssens, D.; Knapen, L.; Körner, C.; May, M.; Nanni, M.; Pedreschi, D.; Stange, H.; Trasarti, R.; Yasar, A.-U.-H.; Wets, G.

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Procedia computer science. Online journal 10 (2012), pp.1221-1227
ISSN: 1877-0509
International Conference on Ambient Systems, Networks and Technologies (ANT) <3, 2012, Niagara Falls/Canada>
International Conference on Mobile Web Information Systems (MobiWIS) <9, 2012, Niagara Falls/Canada>
Conference Paper, Journal Article, Electronic Publication
Fraunhofer IAIS ()

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 car-pooling to be successful, 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 bi g data (such as GSM, GPS and/or Bluetooth).