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Title:

Crash Probability and Error Rates for Head-On Collisions Based on Stochastic Analyses

Accession Number:

01333666

Record Type:

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Order URL: http://worldcat.org/oclc/41297384

Abstract:

Active safety systems are developed in the automotive industry to help avoid or mitigate collisions. To develop collision-avoidance or mitigation systems, an appropriate lead time must be determined to provide a warning or action with acceptable false positive and negative rates. There has been much research on the lead time for the rear-end collision, but the lead time for the head-on collision has not been studied much because of the complexity of the loadcase. In this paper, the crash probabilities of the head-on collision were estimated, and adaptive lead times were proposed. In addition, false positive and false negative rates were assessed for some precrash sensor errors. For the assessment, an analytical vehicle model was validated against static and dynamic test data, and the driver's behaviors in normal and evasive maneuvers were surveyed and modeled. Using the analytical vehicle model and the driver models, stochastic analyses were conducted to assess the crash probability, the adaptive lead times, and the error rates.

Language:

English

Authors:

Kim, Taewung
Jeong, Hyun-Yong

Pagination:

pp 896-904

Publication Date:

2010

Serial:

IEEE Transactions on Intelligent Transportation Systems

Volume: 11
Issue Number: 4
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1524-9050
OCLC: 41297384
Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Media Type:

Web

Features:

Figures (22) ; References (23) ; Tables (2)

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety

Source Agency:

UC Berkeley Transportation Library

Files:

TLIB

Last Modified:

Mar 21 2011 2:15PM

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