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Title: Crash Avoidance Analysis Using Classification Trees and Random Forests
Accession Number: 01100692
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Under critical traffic situations leading to motor vehicle accidents, drivers can either “attempt” or “not attempt” to avoid crashes. This study investigates the drivers, vehicles, and environments’ characteristics associated with crash avoidance maneuvers (i.e. crash avoidance or no crash avoidance) to help develop countermeasures that would mitigate the number of drivers with no avoidance maneuvers. Rear-end collisions, head-on collisions, and angle collisions are analyzed separately using decision trees and the significance of the variables on the binary response variable (avoidance or no avoidance) is determined. Moreover, the random forests method, a novel technique in traffic safety studies, is employed to rank the importance of the drivers/vehicles/environments characteristics on crash avoidance maneuvers. According to the results, drivers’ visibility obstruction, drivers’ physical impairment, drivers’ distraction are associated with the crash avoidance maneuver in all three types of accidents. Moreover, speed limit is associated with rear-end collisions avoidance maneuvers, and vehicle type (i.e. Passenger cars and LTV versus trucks and large trucks) is correlated with head-on collisions and angle collisions avoidance maneuvers.
Monograph Title: Monograph Accession #: 01084478
Report/Paper Numbers: 08-1520
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Harb, Rami CharlesYan, XuedongRadwan, EssamSu, XiaogangPagination: 22p
Publication Date: 2008
Conference:
Transportation Research Board 87th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: Figures
(5)
; References
(34)
; Tables
(1)
TRT Terms: Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment; I81: Accident Statistics; I83: Accidents and the Human Factor
Source Data: Transportation Research Board Annual Meeting 2008 Paper #08-1520
Files: TRIS, TRB
Created Date: Jan 29 2008 3:52PM
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