Research on Driving Style Recognition Model Considering Different Traffic Density and Driving Behavior-Reference-Cited by-同舟云学术

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Research on Driving Style Recognition Model Considering Different Traffic Density and Driving Behavior

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI)
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Author:

Niyang Xia¹,Yunbing Yan¹,Xuequan Tang¹,Lin Zhang¹

Affiliation:

1. School of Automobile and Traffic Engineering, Wuhan University of Science and Technology,Wuhan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964479/9964492/09965136.pdf?arnumber=9965136

Reference13 articles.

1. Driving style recognition using fuzzy logic

2. Driving style recognition using a smartphone as a sensor platform

3. Identification Strategy of Driving Style Based on Random Forest;zhu;Automotive Engineering,2019

4. Research on the Driving Style Identification Method Considering the Influence of Traffic Density;zhao;Automotive Engineering,2020

5. Driving Style Recognition in the Vehicle Starting Condition Based on the Modified Fisher Discrimination;hui;Transactions of Beijing Institute of Technology,2020

Cited by 1 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. Data Validity Analysis Based on Reinforcement Learning for Mixed Types of Anomalies Coexistence in Intelligent Connected Vehicle (ICV);Electronics;2024-01-21

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