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Article: Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning

TitleSafety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning
Authors
Issue Date1-Apr-2024
PublisherElsevier
Citation
Travel Behaviour and Society, 2024, v. 35 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/340060
ISSN
2023 Impact Factor: 5.1
2023 SCImago Journal Rankings: 1.570

 

DC FieldValueLanguage
dc.contributor.authorYe, Yun-
dc.contributor.authorZheng, Pengjun-
dc.contributor.authorLiang, Haoyang-
dc.contributor.authorChen, Xiqun-
dc.contributor.authorWong, SC-
dc.contributor.authorXu, Pengpeng-
dc.date.accessioned2024-03-11T10:41:22Z-
dc.date.available2024-03-11T10:41:22Z-
dc.date.issued2024-04-01-
dc.identifier.citationTravel Behaviour and Society, 2024, v. 35-
dc.identifier.issn2214-367X-
dc.identifier.urihttp://hdl.handle.net/10722/340060-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofTravel Behaviour and Society-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleSafety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning-
dc.typeArticle-
dc.description.naturepreprint-
dc.identifier.doi10.1016/j.tbs.2024.100760-
dc.identifier.volume35-
dc.identifier.eissn2214-367X-
dc.identifier.issnl2214-367X-

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