Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27562
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dc.contributor.authorMao, Yan-
dc.contributor.authorWang, Wuhong-
dc.contributor.authorDing, Chenxi-
dc.contributor.authorGuo, Weiwei-
dc.contributor.authorJiang, Xiaobei-
dc.contributor.authorBaumann, Martin-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2019-01-09T13:15:50Z-
dc.date.available2019-01-09T13:15:50Z-
dc.date.issued2018-
dc.identifier.citationTRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 62, p. 739-747-
dc.identifier.issn1361-9209-
dc.identifier.urihttp://hdl.handle.net/1942/27562-
dc.description.abstractDrivers get involved easily in Left-Turn Across Path with Opposite Direction Traffic (LTAP-OD) conflicts at signalized intersection with unprotected left-turn phasing. This study classified the left-turn drivers' performance into four types: (1) the correct acceptance of safe lags/gaps, (2) the correct rejection of dangerous lags/gaps, (3) the false rejection of safe lags/gaps and (4) the false acceptance of dangerous lags/gaps. Based on the high mounted video camera data, the logistic regression model was used to obtain the critical gaps for estimating whether the lags/gaps were safe or not. The results show that the cognition behavior of the left-turn drivers should be improved while the gap/lag is drawn near the critical gap. Furthermore, the conservative drivers are more likely to reject the larger lags/gaps and yield the right-of-way to the opposing vehicles. Simultaneously the poor response execution may cause drivers to have difficulties during the turning performance when the lags/gaps are large enough. These results could be used as the basis for a discussion of the right time to support the drivers.-
dc.description.sponsorshipThis research was supported in part by National Nature Science Foundation of China under Grant 51378062 and the Programme of Introducing Talents of Discipline to Universities under grant B12022. The authors wish to acknowledge the colleagues who have been involved in some of the various works that contributed to this paper.-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.rights© 2018 Elsevier Ltd. All rights reserved.-
dc.subject.otherLeft-turn drivers; Driving behavior; Gap acceptance; Situation awareness; Intersection safety; Traffic conflict-
dc.subject.otherLeft-turn drivers; Driving behavior; Gap acceptance; Situation awareness; Intersection safety; Traffic conflict-
dc.titleA measurement to driving situation awareness in signalized intersections-
dc.typeJournal Contribution-
dc.identifier.epage747-
dc.identifier.spage739-
dc.identifier.volume62-
local.format.pages9-
local.bibliographicCitation.jcatA1-
dc.description.notes[Mao, Yan; Wang, Wuhong; Ding, Chenxi; Guo, Weiwei; Jiang, Xiaobei] Beijing Inst Technol, Dept Transportat Engn, Beijing 100081, Peoples R China. [Baumann, Martin] Ulm Univ, Fac Engn Comp Sci & Psychol, Dept Human Factors, D-89069 Ulm, Germany. [Wets, Geert] Hasselt Univ, Transportat Res Inst IMOB, B-3590 Diepenbeek, Belgium.-
local.publisher.placeOXFORD-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1016/j.trd.2018.05.001-
dc.identifier.isi000443791700053-
item.accessRightsRestricted Access-
item.fullcitationMao, Yan; Wang, Wuhong; Ding, Chenxi; Guo, Weiwei; Jiang, Xiaobei; Baumann, Martin & WETS, Geert (2018) A measurement to driving situation awareness in signalized intersections. In: TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 62, p. 739-747.-
item.fulltextWith Fulltext-
item.contributorMao, Yan-
item.contributorWang, Wuhong-
item.contributorDing, Chenxi-
item.contributorGuo, Weiwei-
item.contributorJiang, Xiaobei-
item.contributorBaumann, Martin-
item.contributorWETS, Geert-
item.validationecoom 2019-
crisitem.journal.issn1361-9209-
crisitem.journal.eissn1879-2340-
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