Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis-Reference-Cited by-同舟云学术

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Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis

Published:2015-10 Issue:8 Volume:9 Page:792-801
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Qi Geqi¹²,Du Yiman¹,Wu Jianping¹²,Xu Ming³

Affiliation:

1. Department of Civil EngineeringTsinghua UniversityBeijing100084People's Republic of China

2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic TechnologiesSiPaiLou #2Nanjing210096People's Republic of China

3. Beijing University of Posts and TelecommunicationBeijing100876People's Republic of China

Funder

Natural Science Foundation of Beijing Municipality

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2014.0139

Reference37 articles.

1. Behavioral correlates of individual differences in road-traffic crash risk: An examination of methods and findings.

2. Car-following: a historical review

3. Driving Behaviour: Models and Challenges

4. Traffic Dynamics: Studies in Car Following

5. Car-Following Theory of Steady-State Traffic Flow

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