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EVALUATION OF SAFETY BENEFITS OF AUTOMATIC CRASH INFORMATION NOTIFICATION SYSTEMS ON FREEWAYS

Authors
Jeong, EunbiOH, CHEOLLee, Jaewan
Issue Date
Apr-2014
Publisher
한국자동차공학회
Keywords
Effectiveness evaluation; Automatic crash information notification system (ACINS); Crash response time; Injury prediction model
Citation
International Journal of Automotive Technology, v.15, no.3, pp 495 - 503
Pages
9
Indexed
SCIE
SCOPUS
KCI
Journal Title
International Journal of Automotive Technology
Volume
15
Number
3
Start Page
495
End Page
503
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/25038
DOI
10.1007/s12239-014-0052-4
ISSN
1229-9138
1976-3832
Abstract
The automatic crash information notification system (ACINS) is an effective technology to enhance thepotential for saving crash victims by reducing the crash response time (CRT) of emergency medical services. Shorter CRTresults in a greater potential to save the lives and to alleviate the severity of injuries for crash victims. To fully operate theACINS, reliable assessments of the safety benefits would be needed for justifying public investment. This study proposed amethodology for quantifying the effectiveness of the ACINS and applied the methodology to the Korean freeway system. Theproposed methodology consists of three steps. The first step is to develop a statistical model for predicting injury severity ofcrash victims using ordered logistic regression. The second step is to estimate the amount of reduced CRT by applyingACINS. The effectiveness of the ACINS, which are defined as the number of reduced fatalities and severe injuries, wereevaluated with the consideration of the market penetration rate (MPR) in third step. It has been found that approximately 9.4−15.4% of fatalities can be reduced with 100% MPR when the proposed methodology is applied to 2011 freeway crash data. The outcomes of this study support decision making for public investments and for establishing relevant traffic safety policies.
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OH, CHEOL
ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
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