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dc.contributor.authorKuang, Yan
dc.contributor.authorYu, Yang
dc.contributor.authorQu, Xiaobo
dc.date.accessioned2020-11-10T01:38:41Z
dc.date.available2020-11-10T01:38:41Z
dc.date.issued2020
dc.identifier.issn2473-2907en_US
dc.identifier.doi10.1061/JTEPBS.0000405en_US
dc.identifier.urihttp://hdl.handle.net/10072/399142
dc.description.abstractIn this paper, a disturbance-based methodology was proposed to represent the safety level of a car-following scenario. According to the probabilistic causal model, the following vehicles always take evasive actions to avoid a collision in the crash mechanism. In this study, the probabilistic model is modified to evaluate the maximum disturbance a car-following scenario can accommodate corresponding to the maximum evasive action taken by the following vehicle. This paper aims to investigate the safety level of a car-following scenario by estimating its capability index on accommodating disturbance. The surrogate measure, Disturbance Accommodate Index (DAI), is thus proposed to represent the stability of a car-following scenario by measuring its maximum capability on accommodating disturbance. Further, a case study is conducted to evaluate the performance of DAI by using the traffic and crash data provided by the Department of Transport and Main Roads in Queensland. The results show that the DAI outperforms the other crash surrogate measures (e.g., Aggregated Crash Index, Time to Collision, and Proportion of Stopping Distance) in representing rear-end crash risk, followed by the discussion.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.language.isoeng
dc.publisherAmerican Society of Civil Engineers (ASCE)en_US
dc.relation.ispartofpagefrom04020085en_US
dc.relation.ispartofissue8en_US
dc.relation.ispartofjournalJournal of Transportation Engineering, Part A: Systemsen_US
dc.relation.ispartofvolume146en_US
dc.subject.fieldofresearchCivil Engineeringen_US
dc.subject.fieldofresearchcode0905en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsTransportation Science & Technologyen_US
dc.subject.keywordsEngineeringen_US
dc.titleNovel Crash Surrogate Measure for Freewaysen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationKuang, Y; Yu, Y; Qu, X, Novel Crash Surrogate Measure for Freeways, Journal of Transportation Engineering, Part A: Systems, 2020, 146 (8), pp. 04020085en_US
dc.date.updated2020-11-10T01:36:44Z
gro.hasfulltextNo Full Text
gro.griffith.authorKuang, Yan


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