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)

Author:

SEKINE Yasufumi1,YAMAMOTO Toshio2,HAYASHI Yuji3,OHTSUBO Yuya3

Affiliation:

1. Faculty of Engineering, Fukuyama University

2. Institute for Traffic Accident Research and Data Analysis

3. Oriental Consultants Co., Ltd., Kanto Branch

Publisher

Japan Society of Mechanical Engineers

Reference14 articles.

1. Ebara, Y., Ito and T., Narita, R., Extraction of the potential accident black spot in the expressway of Hokkaido using ETC2.0 probe data, Japan Society of Traffic Engineers Journal of Traffic Engineering, Proceedings of 36th Annual Congress (2016), pp. 223-227 (in Japanese).

2. Hatanaka, H., Hirasawa, T., Manabe, Y., Watanabe, Y., Inoue, H., Takenaka, N. and Kawasaki, K., A study of safe driving support service using probe data,6th ITS Symposium 2007 (2007) , pp. 321-326 (in Japanese).

3. Kanoshima, H., Sizuki, K., Nonaka, Y. and Makino, H., Application of ETC2.0 probe data to bottleneck analysis on expressways, Japan Society of Traffic Engineers Journal of Traffic Engineering, Proceedings of 35th Annual Congress (2015), pp. 215-221 (in Japanese).

4. Mori, K., Yano, N. and Yokoseki, T., Collision risk evaluation based on relative speed between the passing vehicle and the preceding vehicle on the expressway, Japan Society of Traffic Engineers Journal of Traffic Engineering, Special Issue B (Practical Papers), Vol. 5, No. 2 (2019), pp. 11-16 (in Japanese).

5. Nagahiro, Y. and Nishioka, S., Okamoto, H., Improving accuracy of travel time information by neural network using ETC2.0 data, Japan Society of Traffic Engineers Journal of Traffic Engineering, Special Issue B (Practical Papers), Vol. 5, No. 2 (2019), pp. 42-48 (in Japanese).

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