Driver Risk Assessment Using Traffic Violation and Accident Data by Machine Learning Approaches-Reference-Cited by-同舟云学术

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Driver Risk Assessment Using Traffic Violation and Accident Data by Machine Learning Approaches

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)
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Author:

Fang Aifen,Qiu Chenlu,Zhao Lei,Jin Yongjun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8482240/8492536/08492665.pdf?arnumber=8492665

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Classification Algorithms for Traffic Stops—A Comparative Study;International Journal of Online and Biomedical Engineering (iJOE);2024-05-06

2. Application of Big Data Analysis of Traffic Accidents and Violation Reports for Improving Traffic Safety;Sensors and Materials;2024-03-29

3. Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections;International Journal of Transportation Science and Technology;2023-03

4. Analysis of the Accident Propensity of Chinese Bus Drivers: The Influence of Poor Driving Records and Demographic Factors;Mathematics;2022-11-19

5. Autonomous Hedging System Designed for Driver Disability Accidents Based on Emergency Risk Field;2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE);2022-11-11

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