Using Naturalistic Driving Study Data to Investigate Driver Behavior at Highway-Rail Grade Crossings

dc.contributor.authorSalim, Alawudinen
dc.contributor.authorJeon, Myounghoonen
dc.contributor.authorLautala, Pasien
dc.contributor.authorNelson, Daviden
dc.date.accessioned2025-01-09T13:36:58Zen
dc.date.available2025-01-09T13:36:58Zen
dc.date.issued2018-01-01en
dc.date.issued2018-06-14en
dc.description.abstractAlthough accidents at Highway-Rail Grade Crossings (HRGCs) have been greatly reduced over the past decades, they continue to be a major problem for the rail industry, causing injuries, loss of life, and loss of revenue. Recently, the Strategic Highway Research Program sponsored a Naturalistic Driving Study, the SHRP2 NDS, which produced a unique opportunity to look at how drivers behave while traversing HRGCs. This research deviates from previous studies by concentrating on day-to-day actions of drivers who traverse the HRGCs without an incident, instead of focusing on the accident events that have formed the foundation most earlier studies. This paper will focus on the effects of the external environment, weather and day/night conditions, on driver behavior at HRGCs. We will present the methodology and data used for the study and provide some early results from the analysis, such as differences in compliance during poor versus clear weather. We will use both a compliance score based on scanning and speed reduction and an analysis of brake and gas pedal usage during the approach to a HRGC. The paper will conclude with a brief discussion of future research concepts.en
dc.description.versionPublished versionen
dc.format.extent6 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1115/JRC2018-6261en
dc.identifier.eissn2160-1380en
dc.identifier.isbn978-0-7918-5097-8en
dc.identifier.issn1559-9531en
dc.identifier.orcidJeon, Myounghoon [0000-0003-2908-671X]en
dc.identifier.urihttps://hdl.handle.net/10919/123999en
dc.language.isoenen
dc.publisherASMEen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000438662100079&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.relation.urihttps://doi.org/10.1115/jrc2018-6261en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectgrade crossingen
dc.subjectcrossbucken
dc.subjectnaturalistic driving studyen
dc.subjecttraffic control deviceen
dc.titleUsing Naturalistic Driving Study Data to Investigate Driver Behavior at Highway-Rail Grade Crossingsen
dc.title.serialPROCEEDINGS OF THE ASME JOINT RAIL CONFERENCE, 2018en
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherProceedings Paperen
dc.type.otherMeetingen
dc.type.otherBook in seriesen
pubs.finish-date2018-04-20en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen
pubs.start-date2018-04-18en

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