Examining the Factors Affecting Single-Vehicle Motorcycle Crashes Using Association Rules Mining: Case Study of Japan-Reference-Cited by-同舟云学术

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Examining the Factors Affecting Single-Vehicle Motorcycle Crashes Using Association Rules Mining: Case Study of Japan

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Zulherman Dodi¹,Yang Jia²,Yokota Yasunari³

Affiliation:

1. Graduate School of Engineering, Gifu University,Gifu City,Gifu Prefecture,Japan,501-1193

2. Toyota Transportation Research Institute,Toyota City,Aichi Prefecture,Japan,471–0024

3. Faculty of Engineering, Gifu University,Department of Electrical, Electronics, and Computer Engineering,Gifu City,Gifu Prefecture,Japan,501–1193

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922376.pdf?arnumber=9922376

Reference25 articles.

1. Injury severity analysis of drivers in single-vehicle rollover crashes: A random thresholds random parameters hierarchical ordered logit approach

2. The effects of road safety education on the occurrence of motorcycle violations and accidents for novice riders: An analysis of population-based data

3. Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information

4. A data mining approach to investigate patterns of powered two-wheeler crashes in Spain

5. Tokyo police go on traffic blitz as fatal motorcycle accidents double;kado;asahi com,0

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