Liu, Q, Lu, D, Jiang, R et al. (3 more authors) (2021) Departure time choice behavior in commute problem with stochastic bottleneck capacity: Experiments and modeling. Transportmetrica A: Transport Science. ISSN 2324-9935
Abstract
The effect of environmental uncertainty on equilibrium patterns is of vital importance to understand travel choice behavior. This paper conducted a laboratory experiment to investigate the effects of stochastic bottleneck capacity on departure time choice behavior. In the experiment, the bottleneck capacity varied stochastically from round to round, and two different scenarios with different information feedback were investigated. Our experimental results showed that the relationship between the mean travel cost and the standard deviation of travel cost on each departure time was fitted approximately linearly with a positive slope λ∗, indicating subjects were more likely to minimize their travel cost budget rather than their mean travel cost. Also, we found that the feedback on costs of all departure times resulted in a smaller λ∗ than the feedback on the subjects’ own travel cost only. We propose a reinforcement learning model to reproduce the main experimental findings.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Hong Kong Society for Transportation Studies Limited. This is an author produced version of an article, published in Transportmetrica A: Transport Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Departure time choice, bottleneck model, stochastic capacity, laboratory experiment, reinforcement learning model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Sep 2021 09:48 |
Last Modified: | 04 Oct 2022 00:13 |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/23249935.2021.1978590 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178499 |
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Filename: Liu Q et al - 2021TransportmetricaA -WRR.pdf
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