A Study on the Analysis of Law Violation Data for the Creation of Autonomous Vehicle Traffic Flow Evaluation Indicators – Journal of Internet Services and Information Security

Volume 13 - Issue 4

A Study on the Analysis of Law Violation Data for the Creation of Autonomous Vehicle Traffic Flow Evaluation Indicators

Mi-ju Kim Sungshin Women’s University, Seoul
20200903@sungshin.ac.kr 0009-0008-9296-0231
Yu-bin Go Sungshin Women’s University, Seoul
20200897@sungshin.ac.kr 0009-0008-9618-3396
So-yeon Choi Sungshin Women’s University, Seoul
20200961@sungshin.ac.kr 0009-0004-2386-4132
Nam-sun Kim Korean National Police University, Asan
nsk@police.go.kr 0000-0002-7982-5181
Cheol-hee Yoon Korean National Police University, Asan
bertter@police.ac.kr 0000-0002-4862-4790
Wonhyung Park Sungshin Women’s University, Seoul
whpark@sungshin.ac.kr 0000-0002-2999-3179

DOI: 10.58346/JISIS.2023.I4.013

Keywords: Traffic Accident, Accident Analysis, Prevent, Roadway.

Abstract

The study analyzes the reason for the steady increase in the number of traffic accidents in Yongin City, Gyeonggi-do, despite the improvement of Korea's traffic accident system and the decrease in the number of traffic accidents. Seven years of traffic accident data is collected to analyze major legal violations and accident risks and to derive accident-prone areas and road risk indices through QGIS mapping. Based on this analysis, it identifies the causes of accidents in multiple accident areas, proposes improvement measures like the installation of a median strip and an unmanned traffic control device near a crosswalk, and emphasizes the significance of driver awareness and safety education. The aim of the study is to analyze road risk factors and suggest improvement measures to prevent traffic accidents, with the goal of improving the traffic situation in Yongin city.

Date

November 2023

Page Number

185-198