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The Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Events

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dc.contributor.authorHerbers, Eileenen
dc.contributor.authorDoerzaph, Zacharyen
dc.contributor.authorStowe, Lorenen
dc.date.accessioned2024-02-01T14:31:01Zen
dc.date.available2024-02-01T14:31:01Zen
dc.date.issued2024-01-12en
dc.date.updated2024-01-26T14:10:40Zen
dc.description.abstractLine-of-sight (LOS) sensors developed in newer vehicles have the potential to help avoid crash and near-crash scenarios with advanced driving-assistance systems; furthermore, connected vehicle technologies (CVT) also have a promising role in advancing vehicle safety. This study used crash and near-crash events from the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP2 NDS) to reconstruct crash events so that the applicable benefit of sensors in LOS systems and CVT can be compared. The benefits of CVT over LOS systems include additional reaction time before a predicted crash, as well as a lower deceleration value needed to prevent a crash. This work acts as a baseline effort to determine the potential safety benefits of CVT-enabled systems over LOS sensors alone.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHerbers, E.; Doerzaph, Z.; Stowe, L. The Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Events. Sensors 2024, 24, 484.en
dc.identifier.doihttps://doi.org/10.3390/s24020484en
dc.identifier.urihttps://hdl.handle.net/10919/117792en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectadvanced driver assistance systemsen
dc.subjectnaturalistic driving dataen
dc.subjectautomated driving systemsen
dc.subjectconnected vehiclesen
dc.titleThe Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Eventsen
dc.title.serialSensorsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Journal Articles, Multidisciplinary Digital Publishing Institute (MDPI)
Scholarly Works, Biomedical Engineering and Mechanics
Scholarly Works, Virginia Tech Transportation Institute