Analysis of Driving Behavior and Correlation with Crashes in Rainy Weather Using Digital Tachograph: Focusing on Driving Record of Taxi in Seoul

Jooyoung Lee; Jiho Yeo

doi:10.7470/jkst.2018.36.6.493

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2018 Vol.36, Issue 6 Preview Page Next Page

Article

Analysis of Driving Behavior and Correlation with Crashes in Rainy Weather Using Digital Tachograph: Focusing on Driving Record of Taxi in Seoul 디지털운행기록을 활용한 우천시 주요 운전행동과 사고와의 상관성 분석: 서울시 택시 운행자료를 중심으로

31 December 2018. pp. 493-502

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Abstract

Despite number of traffic crashes in Korea has been decreasing due to continuous efforts to improve traffic safety, there are still high fatailities compared with OECD countries. Therefore, in-depth study of traffic crash is needed. Especially, recent data collection technology enables us to investigate driver’s driving behavior. The driving behavior of the driver is greatly influenced by the environment of roadway, weather conditions, and so on, so it is necessary to analyze the driving behavior in consideration of the surrounding environment. In this study, driving behavior according to weather condition was analyzed using 10-day driving record data collected from the digital tachograph during September 2008 to December 2013 of taxi in Seoul. Using the data from the Korea Meteorological Administration (KMA), driving record data is distinguished between rainy and clear by day of operation. Driving behaviors were analyzed by clustering analysis to derive a total of 12 representative driving behaviors and analyzed the differences according to rainy and clear cases. In addition, spatial analysis of past crashes showed that crashes had a high positive correlation with driving behavior in rainy weather, and major driving behaviors at the accidents at rainy days were sudden braking and sudden starting behavior. In this study, the characteristics of each weather condition were derived by comparing and analyzing the difference of driving behavior according to the weather condition using the driving record data, and the main factors influencing the crash occurrence were derived. If we increase the amount and duration of driving record data, it is possible to analysis more generalized relationship between driving behavior and crahes according to weather conditions. Through this, it is possible to establish pre-emptive traffic safety measures and to enhance safety driving information by deriving risk behaviors according to weather conditions.

Keywords

crash analysis

digital tachograph

driving behavior

rainy weather

spatial analysis

교통안전 증진을 위한 지속적인 노력으로 국내 교통사고수는 감소하는 추세를 보이고 있다. 하지만 여전히 OECD 국가 평균 대비 높은 사망자를 발생시키고 있으며, 이를 해결하기 위해 지속적인 연구가 수행되고 있다. 특히 최근 데이터 수집기술의 발달로 운전자의 운전행동에 대한 연구가 활발히 수행이 되고 있다. 운전자의 운전행동은 주행하고 있는 도로의 환경, 기상상황 등에 큰 영향을 받기 때문에 주변환경을 고려하여 운전행동을 분석할 필요성이 있으며, 이에 본 연구에서는 서울지역 택시의 디지털 운행기록계로부터 수집된 2013년 9월 중 10일간의 운행기록자료를 활용하여 기상상황에 따른 운전 행동을 분석하였다. 기상청 자료를 이용하여 운행기록일별로 우천시와 맑음 상황을 구분하였고, 클러스터링 분석을 활용하여 총 12가지의 대표운전행동을 각각의 기상상황에 따라 비교 분석하였다. 또한, 과거 사고와의 공간분석을 통해 우천시 사고가 운전행동과 높은 양의 상관관계를 가짐을 보이고, 우천시 사고 다발지점에서의 주요 운전행동이 급제동과 급출발 행동이었음을 도출하였다. 본 연구는 대용량의 운행기록자료를 이용하여 기상상황에 따른 운전행동의 차이를 도출하고 운전행동과 교통사고 간의 상관관계를 증명하였다는 점에서 의의가 있다. 추후 분석 데이터양과 기간을 늘린다면 보다 일반화된 각 기상상황에 따른 운전행동과 사고 간의 관계에 관한 연구가 가능하다. 이를 통해 기상상황에 따른 사고 위험 행동들을 도출하여 선제적인 교통안전 대책 수립 및 안전운행정보 고도화가 가능할 것으로 판단된다.

키워드

사고 분석

디지털운행기록

운전행동

강우

공간분석

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Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 36
No :6
Pages :493-502
Received Date : 2018-11-09
Revised Date : 2018-12-13
Accepted Date : 2018-12-26
DOI :https://doi.org/10.7470/jkst.2018.36.6.493

Journal of Korean Society of TransportationISSN:1229-1366(Print) 2234-4217(Online)대한교통학회

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