A Study on Classification of Traffic Accident Injury Grade Using CNN and NASS-CDS Data-Reference-Cited by-同舟云学术

A Study on Classification of Traffic Accident Injury Grade Using CNN and NASS-CDS Data

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 VII International Conference on Network, Communication and Computing - ICNCC 2018
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Author:

Song Hyu-Seop¹,Lee Yongbeom²,Park Seongkeun³,Kim Hyeonseok²,Cho Eungi²,Park Mingyu²,Kim Seung-woo³

Affiliation:

1. Soonchunhyang Univ., Dept. of Electric & Robotics Engineering, Asan, South Korea

2. Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea

3. Soonchunhyang Univ., Dept. of Smart Automobile, Asan, South Korea

Publisher

ACM Press

Reference10 articles.

1. NASS NHTSA, Automated collision notification (ACN) field operational test (FOT) evaluation report, National Highway Traffic Safety Administration, 2001.

2. Lee. Y et al. A Machine Learning Approach to Prediction of Passenger Injuries on Real Road Situation, SCIS&ISIS 2018.

3. NHTSA, National Automotive Sampling System Crashworthiness Data System, 2014 Analytical User's Manual, 2015.

4. S.M. et al., Recommendations of the national expert panel on field triage, Morbidity and Mortality Weekly Report, 58(RR-1), 2009, 1--36

5. Park, S. et al., Estimation of Driver Injury Severity in Traffic Collisions. Journal of Transport Research, 24(1), 2017, 1--15.

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