Estimating likelihood of future crashes for crash-prone drivers

Article English OPEN
Subasish Das ; Xiaoduan Sun ; Fan Wang ; Charles Leboeuf (2015)
  • Publisher: KeAi
  • Journal: Journal of Traffic and Transportation Engineering (English ed. Online), volume 2, issue 3, pages 145-157 (issn: 2095-7564)
  • Related identifiers: doi: 10.1016/j.jtte.2015.03.003
  • Subject: Roadway safety | Crash risk | Crash-prone drivers | TA1001-1280 | Sensitivity | Logistic regression | Transportation engineering

At-fault crash-prone drivers are usually considered as the high risk group for possible future incidents or crashes. In Louisiana, 34% of crashes are repeatedly committed by the at-fault crash-prone drivers who represent only 5% of the total licensed drivers in the stat... View more
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