Eran Ben-Elia
Which road do I take? A learning-based model of route-choice behavior with real-time information
Ben-Elia, Eran; Shiftan, Yoram
Authors
Yoram Shiftan
Abstract
This paper presents a learning-based model of route-choice behavior when information is provided in real time. In a laboratory controlled experiment, participants made a long series of binary route-choice trials relying on real-time information and learning from their personal experience reinforced through feedback. A discrete choice model with a Mixed Logit specification, accounting for panel effects, was estimated based on the experiment's data. It was found that information and experience have a combined effect on drivers' route-choice behavior. Informed participants had faster learning rates and tended to base their decisions on memorization relating to previous outcomes whereas non-informed participants were slower in learning, required more exploration and tended to rely mostly on recent outcomes. Informed participants were more prone to risk-seeking and had greater sensitivity to travel time variability. In comparison, non-informed participants appeared to be more risk-averse and less sensitive to variability. These results have important policy implications on the design and implementation of ATIS initiatives. The advantage of incorporating insights from Prospect Theory and reinforced learning to improve the realism of travel behavior models is also discussed. © 2010 Elsevier Ltd. All rights reserved.
Citation
Ben-Elia, E., & Shiftan, Y. (2010). Which road do I take? A learning-based model of route-choice behavior with real-time information. Transportation Research Part A: Policy and Practice, 44(4), 249-264. https://doi.org/10.1016/j.tra.2010.01.007
Journal Article Type | Article |
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Publication Date | May 1, 2010 |
Deposit Date | Aug 26, 2010 |
Publicly Available Date | Dec 2, 2016 |
Journal | Transportation Research Part A: Policy and Practice |
Print ISSN | 0965-8564 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 44 |
Issue | 4 |
Pages | 249-264 |
DOI | https://doi.org/10.1016/j.tra.2010.01.007 |
Keywords | experience, information, panel data, prospect theory, random utility, reinforced learning, route-choice, travel time variability, uncertainty |
Public URL | https://uwe-repository.worktribe.com/output/979163 |
Publisher URL | http://dx.doi.org/10.1016/j.tra.2010.01.007 |
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