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Carnegie Mellon Robotics Institute

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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

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): NavLab

Associated Project(s): AUtomotive Run-Off-Road Avoidance system

Number of pages: 8

Note: Paper No. 97SAF020

Text Reference

J.A. Hadden, J.H. Everson, D.B. Pape, V.K. Narendran, and Dean Pomerleau, "Modeling and Analysis of Driver/Vehicle Dynamics with Run-Off-Road Crash Avoidance Systems," 30th International Symposium on Automotive Technology and Automation, June, 1997, pp. 343-350.

BibTeX Reference

@inproceedings{Pomerleau_1997_971,
   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 = "30th International Symposium on Automotive Technology and Automation",
   pages = "343-350",
   month = "June",
   year = "1997",
   Notes = "Paper No. 97SAF020"
}

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