Driving Style Recognition Based on Driver Behavior Questionnaire

Open Journal of Applied Sciences

ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.net/journal/ojapps
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"Driving Style Recognition Based on Driver Behavior Questionnaire"
written by Pengfei Li, Jianjun Shi, Xiaoming Liu,
published by Open Journal of Applied Sciences, Vol.7 No.4, 2017

has been cited by the following article(s):

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[4]	Examining Bayesian network modeling in identification of dangerous driving behavior
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[6]	Driver risk classification in auto insurance: Using deep neural networks and in-vehicle CAN bus data
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[7]	Simulation of a robotic prosthesis: Using reinforcement learning
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[8]	Study on driving style clustering based on K-means and Gaussian mixture model
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[9]	融合 K-means 与高斯混合模型的驾驶风格聚类研究
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[10]	Smartphone based context-aware driver behavior classification using dynamic bayesian network
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[1]	Determination of Urban Emission Factors for Vehicular Tailpipe Emissions Using Driving Cycles and Cluster-Based Driver Behavior Analysis Eng, 2025 DOI:10.3390/eng6110294

[2]	Factors influencing drivers' queue-jumping behavior at urban intersections: A covariance-based structural equation modeling analysis Electronic Research Archive, 2024 DOI:10.3934/era.2024067

[3]	Examining Bayesian network modeling in identification of dangerous driving behavior PLOS ONE, 2021 DOI:10.1371/journal.pone.0252484

[4]	FPN-D-Based Driver Smoking Behavior Detection Method IETE Journal of Research, 2021 DOI:10.1080/03772063.2021.1982409

[5]	Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers PLOS ONE, 2020 DOI:10.1371/journal.pone.0238728

[6]	Smartphone based context-aware driver behavior classification using dynamic bayesian network Journal of Intelligent & Fuzzy Systems, 2019 DOI:10.3233/JIFS-169995

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