Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 19, Issue 1, Pages 156-168Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2010.05.003
Keywords
Traffic; Truck safety; Simulation; Reliability; Implicit limit state function; Response surface method (RSM)
Categories
Funding
- National Science Foundation [CMMI-0900253]
- CDC NIOSH Mountain and Plains Education and Research Center (MAP ERC) [1T 42OH009229-01]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [0900253] Funding Source: National Science Foundation
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The framework of a reliability-based assessment model of vehicle safety under adverse driving conditions is developed. Such a framework is built based on the advanced transient dynamic vehicle simulation models which can consider the coupling effects between vehicles and adverse driving conditions, such as wind gust, snow-covered or icy road surface and/or curving. The single-vehicle safety index is introduced to provide rational assessment of accident risks by considering uncertainties of critical variables. In order to consider the complicated implicit limit state functions, the response surface method (RMS) is adopted to provide an efficient estimation of accident risks. Finally, a parametric study is conducted to demonstrate the methodology and the impacts of different critical variables on accident risks of a typical truck under several representative hazardous scenarios are investigated. (C) 2010 Elsevier Ltd. All rights reserved.
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