Modeling and Analysis of Driver/Vehicle Dynamics with Run-Off-Road Crash Avoidance Systems - Robotics Institute Carnegie Mellon University

Modeling and Analysis of Driver/Vehicle Dynamics with Run-Off-Road Crash Avoidance Systems

J. A. Hadden, J. H. Everson, D. B. Pape, V. K. Narendran, and Dean Pomerleau
Conference Paper, Proceedings of 30th International Symposium on Automotive Technology and Automation, pp. 343 - 350, June, 1997

Abstract

An analytical study was performed to assess the safety-related performance of a class of vehicle crash avoidance (CA) systems. The simulation software package RORSIM was developed and used to predict the dynamic behavior of a driver in a vehicle equipped with a CA system under Run-Off-Road (ROR) accident conditions. Simulation studies were performed to characterize the conflicting performance requirements for a CA system, Le., that it warns of every incipient ROR event with a minimal false alarm rate. The results indicate 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 is an effective analytical tool for evaluating the safety-related dynamic performance of vehicles equipped with CA systems under a wide range of driving and road conditions.

Notes
Paper No. 97SAF020

BibTeX

@conference{Hadden-1997-14393,
author = {J. A. Hadden and J. H. Everson and D. B. Pape and V. K. Narendran and Dean Pomerleau},
title = {Modeling and Analysis of Driver/Vehicle Dynamics with Run-Off-Road Crash Avoidance Systems},
booktitle = {Proceedings of 30th International Symposium on Automotive Technology and Automation},
year = {1997},
month = {June},
pages = {343 - 350},
}