A joint model of crash avoidance maneuvers and crash severity

Kaplan, Sigal and Prato, Carlo Giacomo (2014). A joint model of crash avoidance maneuvers and crash severity. In: Transportation Research Board (TRB) 93rd Annual Meeting. Transportation Research Board (TRB) 93rd Annual Meeting, Washington, DC, United States, (). 12-16 January 2014.

Author Kaplan, Sigal
Prato, Carlo Giacomo
Title of paper A joint model of crash avoidance maneuvers and crash severity
Conference name Transportation Research Board (TRB) 93rd Annual Meeting
Conference location Washington, DC, United States
Conference dates 12-16 January 2014
Proceedings title Transportation Research Board (TRB) 93rd Annual Meeting
Publication Year 2014
Sub-type Fully published paper
Total pages 16
Language eng
Abstract/Summary Understanding the drivers’ responses to critical events that the systems could detect, analyzing the drivers’ ability to perform corrective maneuvers that the systems could suggest, and uncovering the relationship between corrective maneuvers and crash severity appear key elements for designing effective crash avoidance systems. This study extends a line of research focusing on the determinants of engaging in crash avoidance maneuvers by considering that observable and unobservable factors relate to both the selection of corrective maneuvers and the severity outcome of the crash. Accordingly, this study proposes a joint multinomial-logit ordered-probit model for associating crash severity with the drivers’ propensity to engage in various corrective maneuvers in the case of the critical event of single-vehicle travelling. Five lateral and speed control maneuvers were considered: “braking”, “steering”, “braking & steering”, and “other maneuvers”, in addition to a “no action” option. Five severity outcome were considered: “property damage only”, “light injury”, “severe non-incapacitating injury”, “severe incapacitating injury” and “fatal injury”. Data were retrieved from the United States National Automotive Sampling System General Estimates System (GES) crash database for the years 2005-2009. Results show (i) the existence of unobserved factors relating crash avoidance maneuvers and crash severity, and (ii) the link between drivers’ attributes, risky driving behavior, road characteristics and environmental conditions, with the propensity to engage in crash avoidance maneuvers and experience crash severity outcomes.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Transportation Research Board Annual Meeting 2014 Paper #14-0441

Document type: Conference Paper
Collection: School of Civil Engineering Publications
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Created: Tue, 19 Apr 2016, 14:03:59 EST by Carlo Prato on behalf of School of Civil Engineering