Extraction of descriptive driving patterns from driving data using unsupervised algorithms-Reference-Cited by-同舟云学术

Extraction of descriptive driving patterns from driving data using unsupervised algorithms

Published:2021-07 Issue: Volume:156 Page:107589
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Li Guofa,Chen Yaoyu,Cao Dongpu,Qu Xingda,Cheng Bo,Li Keqiang

Funder

Natural Science Foundation of Guangdong Province

Shenzhen Fundamental Research Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference62 articles.

1. J.A. Michon, A critical view of driver behavior models: what do we know, what should we do?, in: Human Behavior and Traffic Safety, Springer, 1985, pp. 485–524.

2. Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles;Li;Mech. Syst. Signal Process.,2018

3. Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations;Li;Mech. Syst. Signal Process.,2019

4. A comprehensive survey of driving monitoring and assistance systems;Khan;Sensors,2019

5. P. Kumar, M. Perrollaz, S. Lefevre, C. Laugier, Learning-based approach for online lane change intention prediction, in: 2013 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2013, pp. 797–802.

Cited by 62 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. Personalized active collision avoidance trajectory planning and variable time domain control integrating driver characteristics;Accident Analysis & Prevention;2024-12

2. A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis;Expert Systems with Applications;2024-09

3. Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model;IEEE Transactions on Intelligent Transportation Systems;2024-09

4. Quantitative and qualitative similarity measure for data clustering analysis;Cluster Computing;2024-08-08

5. Three-dimensional quantitative characterization of defects in inconel 625 superalloy based on deep learning image identification;Progress in Natural Science: Materials International;2024-08