Recognition of Trip-Based Aggressive Driving: A System Integrated With Gaussian Mixture Model Structured of Factor-Analysis, and Hierarchical Clustering
Author:
Affiliation:
1. Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China
2. Investment and Development Department, China Shandong International Economic and Technical Cooperation Group Ltd., Jinan, Shandong, China
Funder
Chinese National Natural Science Foundation
Shanghai Sailing Program
China Study Abroad Scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9942712/09785367.pdf?arnumber=9785367
Reference53 articles.
1. Evaluating individual risk proneness with vehicle dynamics and self-report data ˗ toward the efficient detection of At-risk drivers
2. Gaussian mixture models;reynolds;Encyclopedia of Biometric Recognition,2008
3. Visualizing structure and transitions in high-dimensional biological data
4. Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE;devassy;Forensic Sci Int,2020
Cited by 5 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. Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior through Machine Learning: A Systematic Literature Review, 2013–2023;Computation;2024-06-28
2. A Framework for Combining Lateral and Longitudinal Acceleration to Assess Driving Styles Using Unsupervised Approach;IEEE Transactions on Intelligent Transportation Systems;2024-01
3. Fundamental diagram and stability analysis of mixed traffic considering heterogeneous car-following behaviors and platoon factors;Intelligent Transportation Infrastructure;2024
4. Dual-discriminator conditional Giza pyramids construction generative adversarial network based traffic density recognition using road vehicle images;International Journal of Machine Learning and Cybernetics;2023-09-02
5. Investigating the impacts of driver’s risky driving behavior on traffic crash risk detection model;Journal of Transportation Safety & Security;2023-03-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3