Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102529
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorGao, Ken_US
dc.creatorTu, Hen_US
dc.creatorSun, Len_US
dc.creatorSze, NNen_US
dc.creatorSong, Zen_US
dc.creatorShi, Hen_US
dc.date.accessioned2023-10-26T07:19:10Z-
dc.date.available2023-10-26T07:19:10Z-
dc.identifier.issn1556-8318en_US
dc.identifier.urihttp://hdl.handle.net/10397/102529-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2019 Taylor & Francis Group, LLCen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Sustainable Transportation on 23 Apr 2019 (published online), available at: http://www.tandfonline.com/10.1080/15568318.2019.1597226.en_US
dc.subjectCar-following behavioren_US
dc.subjectCollision risken_US
dc.subjectHazy weather conditionsen_US
dc.subjectReduced visibilityen_US
dc.subjectRoad safetyen_US
dc.titleImpacts of reduced visibility under hazy weather condition on collision risk and car-following behavior : implications for traffic control and managementen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage635en_US
dc.identifier.epage642en_US
dc.identifier.volume14en_US
dc.identifier.issue8en_US
dc.identifier.doi10.1080/15568318.2019.1597226en_US
dcterms.abstractThis paper examines the impacts of reduced visibility under hazy weather conditions on collision risk and car-following behavior to enhance the understanding of relationships among weather conditions, driving performance and road safety. A high-fidelity driving simulator is applied to collect vehicle trajectory data concerning a number of driving performance metrics under both clear and hazy weather conditions. The collision risks under different weather conditions as indicated by two surrogate measures – time exposed time-to-collision (TET) and time integrated time-to-collision (TIT) – are compared. Results indicate that hazy weather conditions have significant impacts on traffic safety in terms of increased collision risk and impaired car-following performance. The TET and TIT with a critical time-to-collision threshold value of 5 s under hazy weather conditions are 35.9% and 43.0% higher, respectively, than those under clear weather conditions. The increase in the low collision risk is more noticeable than that of the high collision risk. For car-following behavior, under hazy weather conditions, the average reaction time is higher and the sensitivity to the change in car-following spacing is lower. In addition, the interaction effects of vehicular speed on the relationship between weather conditions and some driving performance metrics are significant. Both the distance and time headways under hazy weather conditions are lower than those under clear weather conditions when the vehicular speed is high. However, no significant evidence is found for the relationship between weather conditions and distance or time headways when the vehicular speed is low or medium. Moreover, the variations in speeds under hazy weather conditions are higher than those under clear weather conditions when the speed is high or medium. The plausible causal relationships among the weather conditions, driving performance changes and collision risk are analyzed and discussed. Findings of this study contribute to the effective traffic control and management to enhance road safety under hazy weather conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of sustainable transportation, 2020, v. 14, no. 8, p. 635-642en_US
dcterms.isPartOfInternational journal of sustainable transportationen_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85064744657-
dc.identifier.eissn1556-8334en_US
dc.description.validate202310 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-1531-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextScience and Technology Commission of Shanghai Municipality; National Key Research and Development Program of China; National Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS20264208-
dc.description.oaCategoryGreen (AAM)en_US
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