Traffic Accident Type Classification and Characteristic Analysis Research to Develop Autonomous Vehicle Accident Investigation Guidelines Using the National Forensic Service Data Base

Byungdeok In; Dayoung Park; Jongjin Park

doi:10.22680/kasa2024.16.1.035

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2024 Vol.16, Issue 1 Preview Page Next Page

Traffic Accident Type Classification and Characteristic Analysis Research to Develop Autonomous Vehicle Accident Investigation Guidelines Using the National Forensic Service Data Base 국과수 데이터베이스를 활용하여 자율주행차 사고조사 가이드라인 개발을 위한 교통사고 유형 분류 및 특성 분석 연구

31 March 2024. pp. 35-41

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Abstract

In order to verify autonomous driving scenarios and safety, a lot of driving and accident data is needed, so various organizations are conducting classification and analysis of traffic accident types. In this study, it was determined that accident recording devices such as EDR (Event Data Recorder) and DSSAD (Data Storage System for Automated Driving) would become an objective standard for analyzing the causes of autonomous vehicle accidents, and traffic accidents that occurred from 2015 to 2020 were analyzed. Using the database system of IGLAD (Initiative for the Global Harmonization of Accident Data), approximately 360 accident data of EDR-equipped vehicles were classified and their characteristics were analyzed by comparing them with accident types of ADAS (Advanced Driver Assistance System)-equipped vehicles. It will be used to develop autonomous vehicle accident investigation guidelines in the future.

Keywords

Autonomous vehicle

Advanced driver assistance system

Data storage system for automated driving

Event data recorder

Traffic accident data

Traffic accident investigation

키워드

자율주행차

첨단 운전자 보조 시스템

자율주행을 위한 데이터 저장 시스템

사고기록장치

교통사고데이터

교통사고조사

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Information

Publisher :Korean Auto-vehicle Safety Association
Publisher(Ko) :한국자동차안전학회
Journal Title :Journal of Auto-vehicle Safety Association
Journal Title(Ko) :자동차안전학회지
Volume : 16
No :1
Pages :35-41
Received Date : 2023-10-30
Revised Date : 2024-01-25
Accepted Date : 2024-02-12
DOI :https://doi.org/10.22680/kasa2024.16.1.035

Journal of Auto-vehicle Safety Association ISSN:2005-9396(Print) 자동차안전학회지

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