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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
Washington, DC 20001 United States

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 Accession #:

01084478

Report/Paper Numbers:

08-1520

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Harb, Rami Charles
Yan, Xuedong
Radwan, Essam
Su, Xiaogang

Pagination:

22p

Publication Date:

2008

Conference:

Transportation Research Board 87th Annual Meeting

Location: Washington DC, United States
Date: 2008-1-13 to 2008-1-17
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (5) ; References (34) ; Tables (1)

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