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Title:

Automated Crash Notification Algorithms: Evaluation of In-Vehicle Principal Direction of Force (PDOF) Estimation Algorithms
Cover of Automated Crash Notification Algorithms: Evaluation of In-Vehicle Principal Direction of Force (PDOF) Estimation Algorithms

Accession Number:

01504359

Record Type:

Component

Abstract:

Automated Crash Notification (ACN) algorithms utilize telemetric data from vehicles involved in collisions to notify the appropriate emergency services with the aim to elicit the appropriate medical response. One vital piece of telemetric data is the Principal Direction of Force (PDOF) of the collision, which can be determined from data stored in the Event Data Recorder (EDR). This study examined PDOF estimation algorithms using EDRs recovered from staged crash tests and real-world collisions. In crash tests, PDOF estimated by the measurements from the EDR were comparable to laboratory-grade instrumentation. In 4 side impact crash tests, the average PDOF measured by crash test instrumentation and computed from the EDR differed by 7% on average. In some proposed ACN systems, real-world collisions, PDOF is used as a surrogate for damage side of the crash (i.e. front, side, rear) which may not be appropriate in many crashes. In 91 EDRs recovered from real-world collisions, oblique PDOF estimates near 45° could be interpreted as either frontal and side damage; 18 cases of 91 would have been misclassified as damage side using PDOF as a surrogate, which would have resulted in an incorrect assessment of injury risk. For example, using a previously developed ACN algorithm that predicts risk of serious injury in a crash, misclassifying the damage side as a frontal collision instead of a side collision would result in a risk prediction of 9% instead of 38%.

Supplemental Notes:

Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Accession #:

01501394

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kusano, Kristofer D
Kusano, Stephanie M
Gabler, Hampton C

Pagination:

15p

Publication Date:

2011

Conference:

3rd International Conference on Road Safety and Simulation

Location: Indianapolis Indiana, United States
Date: 2011-9-14 to 2011-9-16
Sponsors: Purdue University; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Uncontrolled Terms:

Principal direction of force

Subject Areas:

Highways; Safety and Human Factors; I80: Accident Studies

Files:

TRIS, TRB, ATRI

Created Date:

Jan 16 2014 1:21PM