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

Published: 14 December 2018 Publication History

Abstract

In this paper, we propose a new occupant injury prediction algorithm using real car accident data base, NASS-CDS DB. Field crash data which are collected by IIHS is used as input of convolutional neural network to estimate occupant injury. And in order to applying CNN, we are encoding crash information data as two dimensional image. Our experiment results can be shown the validity of our proposed algorithm.

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NHTSA, National Automotive Sampling System Crashworthiness Data System, 2014 Analytical User's Manual, 2015.
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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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Alex Krizhevsky, ImageNet Classification with Deep Convolutional Neural Networks, Advances, Neural Information Processing Systems, 12(25)
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Kr.mathworks.com. (n.d.). Transfer Learning. {online} Available at: https://kr.mathworks.com/discovery/transfer-learning.html {Accessed 1 Nov. 2018}
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Cited By

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  • (2024)Deep Learning-Based Convolutional Neural Network for Crash Severity PredictionThe 13th Conference on Information Technology and Its Applications10.1007/978-3-031-74127-2_7(75-86)Online publication date: 8-Nov-2024
  • (2023)Intelligent ProtectionThe Intelligent Safety of Automobile10.1007/978-981-99-6399-7_4(415-560)Online publication date: 28-Nov-2023

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

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    cover image ACM Other conferences
    ICNCC '18: Proceedings of the 2018 VII International Conference on Network, Communication and Computing
    December 2018
    372 pages
    ISBN:9781450365536
    DOI:10.1145/3301326
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 December 2018

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    Author Tags

    1. Car accident
    2. Deep Learning
    3. Injury Prediction
    4. NASS-CDS

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    • (2024)Deep Learning-Based Convolutional Neural Network for Crash Severity PredictionThe 13th Conference on Information Technology and Its Applications10.1007/978-3-031-74127-2_7(75-86)Online publication date: 8-Nov-2024
    • (2023)Intelligent ProtectionThe Intelligent Safety of Automobile10.1007/978-981-99-6399-7_4(415-560)Online publication date: 28-Nov-2023

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