Assessment of IVHS countermeasures for collision avoidance : rear-end crashes

Knipling, Ronald R.; Mironer, M.; Hendricks, Donald L.; Tijeripa, L.; Everson, J.; Allen, J. C.; Wilson, C.; John A. Volpe National Transportation Systems Center (U.S.)

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Assessment of IVHS countermeasures for collision avoidance : rear-end crashes

1993-05-01
By Knipling, Ronald R. ; Mironer, M. ; Hendricks, Donald L. ; ...

[PDF-1.65 MB]

English

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Details:

Creators:

Knipling, Ronald R. ; Mironer, M. ; Hendricks, Donald L. ; Tijeripa, L. ; Everson, J. ; ... More +

Knipling, Ronald R. ; Mironer, M. ; Hendricks, Donald L. ; Tijeripa, L. ; Everson, J. ; Allen, J. C. ; Wilson, C. Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Subject/TRT Terms:

[+]

(IVHS) COLLISION WARNING/AVOIDANCE SYSTEMS Collision Warning Systems Countermeasures Crash Avoidance Countermeasures Crash Avoidance Systems Crash Reconstruction Driver Inattention EVALUATION/PROGRAM ASSESSMENT Headway Detection Systems Intelligent Transportation Systems Intelligent Vehicle Highway Systems Rear-end Crashes Rear End Collisions
Publication/ Report Number:

DOT-HS-807-995
Resource Type:

Tech Report
Edition:

Final report
Corporate Publisher:

United States. Joint Program Office for Intelligent Transportation Systems
Abstract:

This report describe an analysis of the application of Intelligent

Vehicle Highway System (IVHS) technology to the reduction of rear-end crashes. The

principal countermeasure concept examined is a headway detection (HD) system that

would detect stopped or slower-moving vehicles in a vehicle's travel path. The

report is organized to correspond to the major steps of the project methodology:

Quantify baseline target crash problem size and describe target crash

characteristics; Describe, analyze, and model target crash scenarios to permit understanding of

principal crash causes, time and motion sequences, and potential interventions.

Assess countermeasure technology and mechanisms of action to identify candidate

solutions; Assess relevant human factors and other (e.g., environmental, vehicle) factors

affecting crash scenario and potential countermeasure effectiveness.

Model countermeasure action to predict effectiveness and identify critical

countermeasure functional requirements; Identify specific priority technological, human factors, and other R&D issues

to be resolved; and Case reconstructions and modelin indicate that most rear-end

crashes are due to driver inattention, and that Bt is inattention can in theory

be addressed successfully by the HD countermeasure concept and available radar

technologies.
Format:

PDF
Funding:

DTRS-57-89-D-00086
Collection(s):

ITSJPO Digital Library Volpe Center
Main Document Checksum:

[+]

urn:sha256:7c370bf503f476e3ca6c3350e9d1e5f931d5bca1617b37ff312c457d8bfa5370
Download URL:

https://rosap.ntl.bts.gov/view/dot/4276/dot_4276_DS1.pdf
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Assessment of IVHS countermeasures for collision avoidance : rear-end crashes

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