Traffic Environment Evaluation of “Loopholes” Using ETC2.0 Data and GIS Information

Author:

Sekine Yasufumi,Hayashi Yuji,Ohtsubo Yuya,Hamaya and Toshio Yamamoto Kumiko

Abstract

During commuting hours, the number of vehicles on main line roads increases rapidly. As a result, traffic jams occur. When a traffic jam occurs, some vehicles will flow into nearby residential areas roads that can be used as a “loophole.” In this study, the authors investigated multiple roads known as “loopholes” and evaluated their traffic environments using ETC2.0 data and Geographic Information System (GIS) information. It was also clarified that “loophole” roads have characteristics such as “high number of traffic volume” and “high average velocity.” These are characteristics that have a negative impact on pedestrian safety in “loopholes,” which have many sections without sidewalks. Therefore, it is important to take countermeasures to improve pedestrian safety on “loophole” roads.

Publisher

IntechOpen

Reference10 articles.

1. Sekine Y, Yamamoto T, Hayashi Y, Ohtsubo Y. Safety of residential areal roads parallel to the main line road beyond the traffic jam intersection (evaluation of the residential areal road safety by using ETC2.0 data and GIS information). In: Of Japan Society of Mechanical Engineers 2022 Annual Conference; 11-14 September 2022; No. 22-1. J181-06. Shinjuku-ku, Tokyo, Japan: Japan Society of Mechanical Engineers (JSME); 2022

2. Sekine Y, Yamamoto T, Hayashi Y, Ohtsubo Y. Analysis of vehicle trips and accidents on residential areal roads parallel to the main road (traffic route analysis using ETC2.0 data and accident analysis using GIS information). Transactions of the JSME (in Japanese). 2022;(912):21-00350. DOI: 10.1299/transjsme.21-00350. Available from:

3. Sekine Y, Yamamoto T, Hayashi Y, Ohtsubo Y. An analysis of the relationship between traffic congestion on main roads and the traffic environment in surrounding areas (an evaluation of residential road safety from analysis of traffic accident and ETC 2.0). Transactions of the JSME (in Japanese). 2021;(898):20-00392. DOI: 10.1299/transjsme.20-00392. Available from:

4. Sekine Y, Hayashi Y, Hamatani K. An analysis of the relationship between traffic jam on main line roads and occurrence of detour traffic (evaluation of traffic jam conditions and detour route estimation using ETC2.0 data). In: Of Japan Society of Mechanical Engineers 2023 Annual Conference; 3-6 September 2023; No. 23-1. J181-02. Shinjuku-ku, Tokyo, Japan: Japan Society of Mechanical Engineers (JSME); 2023

5. Sawada H, Ohkuni M, Murakami T, Matsumoto T. A study on generation of real-time information about traffic congestion on expressway by using ETC2.0 probe data. In: Proceedings of 37th Annual Congress (2017). Japan Society of Traffic Engineers Journal of Traffic Engineering. Chiyoda, Tokyo, Japan: Japan Society of Traffic Engineers (JSTE). pp. 417-420

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