ETC2.0データを活用した生活道路の交通事故リスク要因分析  [in Japanese] TRAFFIC ACCIDENT RISK ESTIMATION MODEL FOR RESIDENTIAL STREETS USING ETC2.0 PROBE DATA  [in Japanese]

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Abstract

居住地から幹線道路へのアクセス道である生活道路は,一般に幅員が狭く,無信号交差点が多い等の特徴の為,交通事故の危険性が高いと推察される.しかし,車両感知器未設置区間が多く交通量の把握が困難であり,交通事故リスクの把握が容易ではなかった.一方,近年はプローブ技術の進展により生活道路における車両走行の実態把握が可能となった.そこで本研究では,ETC2.0搭載車両から得られる走行履歴を活用し,生活道路における交通事故リスクの算定と要因分析手法の構築を行なう.愛媛県松山市中心部を対象に500m四方メッシュ単位で,生活道路事故リスクの算出と,重回帰モデルによる事故リスク要因分析を行った結果,幹線道路付近や事業所数の多い地域,学生や生産年齢人口の多く居住する地域において事故リスクが高まる傾向が明らかになった.

This study aims to develop traffic accident risk models for residential streets by utilising probe data. Residential streets are minor access roads in residential area for the residents to reach major arterial roads. The residential streets are not designed for heavy traffic, and thus are characterised by narrow road width and the absence of traffic lights. Nevertheless, they are often bypassed by through-traffic, due to which traffic accident risk is considered to be very high. However, the residential streets are rarely equipped with traffic sensors; traffic accident risk has not been evaluated in such minor roads, which hinders designing effective traffic safety measures. This study utilises probe vehicle information retrieved from ETC2.0 onboard equipments in order to estimate the traffic volume in the residential streets. Then, the traffic accident risks are estimated for different accident types, followed by the development of traffic accident risk estimation model based on linear regression analysis. A case study conducted in Matsuyama in Ehime prefecture revieled that the accident risk in residential areas near major arterial roads tend to be higher. The residential streets in office areas and in the areas with higher population of working ages are also identified as having higher accident risks. The findings would be useful inputs in planning the counter strategies and in prioritising the areas to be improved.

Journal

  • Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 74(5), I_1029-I_1035, 2018

    Japan Society of Civil Engineers

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