A rapid pattern-recognition method for driving styles using clustering-based support vector machines-Reference-Cited by-同舟云学术

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A rapid pattern-recognition method for driving styles using clustering-based support vector machines

Published:2016-07 Issue: Volume: Page:
ISSN:
Container-title:2016 American Control Conference (ACC)
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Author:

Wang Wenshuo,Xi Junqiang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7518121/7524873/07526495.pdf?arnumber=7526495

Cited by 53 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. Game-Based Flexible Merging Decision Method for Mixed Traffic of Connected Autonomous Vehicles and Manual Driving Vehicles on Urban Freeways;Applied Sciences;2024-08-21

2. Modeling and Analysis of Microscopic Risk Avoidance Behavior of Homogeneous Driver Groups Under Risk Scenarios;Transportation Research Record: Journal of the Transportation Research Board;2024-07-27

3. Deep Learning Algorithms for Longitudinal Driving Behavior Prediction: A Comparative Analysis of Convolutional Neural Network and Long–Short-Term Memory Models;SAE International Journal of Connected and Automated Vehicles;2024-06-13

4. Improving Driving Style in Connected Vehicles via Predicting Road Surface, Traffic, and Driving Style;Applied Sciences;2024-05-03

5. Game-Theoretic Lane-Changing Decision-Making Methods for Highway On-ramp Merging Considering Driving Styles;SAE Technical Paper Series;2024-04-09

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