MODELLING AND ANALYSIS OF DRIVER/VEHICLE DYNAMICS WITH "RUN-OFF-ROAD" CRASH AVOIDANCE SYSTEMS
This paper describes a study which assessed the safety-related performance of a class of vehicle crash avoidance (CA) systems. A computer simulation tool known as RORSIM (Run-Off-Road SIMulation) was developed for predicting the dynamic behavior of a driver in a vehicle equipped with a CA system under Run-Off-Road (ROR) conditions. The paper describes the modeling approach, the statistical design of the parameter studies, and the results of the simulations. It was determined that: 1) CA systems are viable for preventing ROR accidents; 2) ROR warning criteria depend on parameters such as speed, roadway curvature, shoulder width, and driver reaction time; and, 3) RORSIM can be an effective tool for evaluating the safety- related dynamic performance of vehicles that are equipped with CA systems.
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Supplemental Notes:
- Publication Date: 1997. Automotive Automation Ltd., Croydon, England
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Corporate Authors:
Ibaraki Daigaku. Kogakubu
,Zexel Corporation
,Robert Bosch Corporation
,Carnegie Mellon Research Institute
Rail Systems Center, 700 Technology Drive, P.O. Box 2950
Pittsburgh, PA United States 15230-2950Monash University
Wellington Road
Clayton, Victoria Australia 3800University of California, Davis
Plug-in Hybrid & Electric Vehicle Research Center, Institute of Transportation Studies
Davis, CA United States 95616IMRA America, Inc.
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Authors:
- Hadden, J A
- Everson, J H
- Pape, D B
- Narendran, V K
- Pomerleau, Dean
- Conference:
- Publication Date: 1997
Language
- English
Media Info
- Pagination: p. 343-350
Subject/Index Terms
- TRT Terms: Crash avoidance systems; Simulation; Single vehicle crashes; Vehicle dynamics
- Subject Areas: Safety and Human Factors;
Filing Info
- Accession Number: 00938699
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: Mar 3 2003 12:00AM