A Study on Method of Extracting High-Risk Accident Causes in Nagano Using Bayesian Network Analysis-Reference-Cited by-同舟云学术

A Study on Method of Extracting High-Risk Accident Causes in Nagano Using Bayesian Network Analysis

Published:2022 Issue:3 Volume:13 Page:139-146
ISSN:2185-0984
Container-title:International Journal of Automotive Engineering
language:en
Short-container-title:IJAE

Author:

Kuniyuki Hiroshi¹,Zainuddin Anis Farhana¹

Affiliation:

1. Suwa University of Science

Publisher

Society of Automotive Engineers of Japan, Inc.

Subject

Fluid Flow and Transfer Processes,Safety, Risk, Reliability and Quality,Automotive Engineering,Human Factors and Ergonomics

Link

https://www.jstage.jst.go.jp/article/jsaeijae/13/3/13_20224506/_pdf

Reference15 articles.

1. (1) World Health Organization: Global Status Report on Road Safety: Summary, p.2-6 (2018).

2. (2) Hiromu Shibasaki : Characteristics and Occurrence Factors of Elderly Drivers’ Accidents, Journal of Society of Automotive Engineers of Japan, Vol. 71, No. 12, p.71-77 (2017).

3. (3) Yuma Maruyama et.al. : Analysis on Characteristics of Traffic Accidents in Nagano (Second Report) -Cluster Analysis-, International Journal of Automotive Engineering, Vol. 10, No.2, p.219-225 (2018).

4. (4) Cabinet Office, Government of Japan : Overview of the 11th Traffic Safety Basic Plan, p.1-8 (2021), https://www8.cao.go.jp/koutu/kihon/keikaku11/pdf/kihon_keikaku-g.pdf (Reference date 2021.07.23).

5. (5) Anis Farhana Zainuddin, Hiroshi Kuniyuki : A Study on Method of Extracting Accident Causes Using Statistical Traffic Accident Data (First Report) - Logistic Regression Analysis-, 2021 JSAE Annual Congress (spring) Proceedings, No. 361-80 (2021).

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