Show simple item record

dc.contributor.authorKujala, Tuomo
dc.contributor.authorSarkar, Abhishek
dc.date.accessioned2024-07-04T07:13:36Z
dc.date.available2024-07-04T07:13:36Z
dc.date.issued2024
dc.identifier.citationKujala, T., & Sarkar, A. (2024). Spare visual capacity and driver inattention in dynamic car following scenarios. <i>Transportation Research Part F: Traffic Psychology and Behaviour</i>, <i>104</i>, 506-521. <a href="https://doi.org/10.1016/j.trf.2024.06.017" target="_blank">https://doi.org/10.1016/j.trf.2024.06.017</a>
dc.identifier.otherCONVID_220968085
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/96291
dc.description.abstractDrivers often look away from the forward roadway. However, this does not necessarily mean that they are inattentive, as they might be utilizing their spare visual capacity (SVC). Because of the safety–critical risks associated with inattentive driving, it is imperative to analyze how much visual capacity a driver can afford to use for secondary activities while avoiding the possibility of an accident. This study aimed to define and identify driver inattention in a car following task based on an estimate of the driver’s situational SVC. A mathematical model of SVC in car following was created based on the possible but unlikely worst-case scenario in any situation. The model generates situation-specific marginal values of the minimum time that can lead to a possible collision when a driver looks away from the lead car. A classification algorithm was developed to define and identify inattention based on the model’s estimates. The model reveals that SVC in car following varies significantly from situation to situation, depending on relevant situational, technical, and cognitive factors. A driving simulator study (N = 32) indicated that drivers are often willing to occlude themselves in car following when there is a chance of a rear-end collision and that this behavior becomes more likely with higher speeds. A strong linear association between distance headway and brake response time was also found. Quantifying SVC in driving helps in determining driver inattention against a valid baseline based on what is possible. The proposed modeling approach can be utilized for the development of improved safety guidelines and effective context-sensitive (in)attention monitoring systems.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesTransportation Research Part F: Traffic Psychology and Behaviour
dc.rightsCC BY 4.0
dc.subject.otherdriver distraction
dc.subject.othersafety
dc.subject.otherocclusion
dc.subject.otherdistance headway
dc.subject.otherbrake response time
dc.subject.otherinattention detection
dc.titleSpare visual capacity and driver inattention in dynamic car following scenarios
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202407045119
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange506-521
dc.relation.issn1369-8478
dc.relation.volume104
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 The Author(s). Published by Elsevier Ltd.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber343259
dc.subject.ysoliikenneturvallisuus
dc.subject.ysoautoilijat
dc.subject.ysoautoliikenne
dc.subject.ysoturvallisuus
dc.subject.ysokuljettajat
dc.subject.ysovasteaika
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p517
jyx.subject.urihttp://www.yso.fi/onto/yso/p3004
jyx.subject.urihttp://www.yso.fi/onto/yso/p8933
jyx.subject.urihttp://www.yso.fi/onto/yso/p7349
jyx.subject.urihttp://www.yso.fi/onto/yso/p5501
jyx.subject.urihttp://www.yso.fi/onto/yso/p6969
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.trf.2024.06.017
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundinginformationThis research was supported by the Academy of Finland (Appropriate Uncertainty in Manual and Automated Driving, Grant 343259).
dc.type.okmA1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

CC BY 4.0
Except where otherwise noted, this item's license is described as CC BY 4.0