Driving Style Recognition Based on Lane Change Behavior Analysis Using Naturalistic Driving Data
Author:
Affiliation:
1. School of Software Engineering, Tongji Univ., Shanghai, China
2. Dept. of Computer Science, Indiana Univ.-Purdue Univ., Indianapolis, IN
3. School of Automotive Studies, Tongji Univ., Shanghai, China.
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/9780784483053.370
Reference13 articles.
1. A. Corti C. Ongini M. Tanelli etal (2013). "Quantitative Driving Style Estimation for Energy-Oriented Applications in Road Vehicles" IEEE International Conference on Systems. IEEE Computer Society.
2. Driving Style Analysis Using Data Mining Techniques;Constantinescu Z.;International Journal of Computers Communications Control,2010
3. Establishing Style-Oriented Driver Models by Imitating Human Driving Behaviors;Xu L.;IEEE Transactions on Intelligent Transportation Systems,2015
4. An Investigation on the Effect of Driver Style and Driving Events on Energy Demand of a PHEV;Rajan V.P.;World Electr. Veh. J.,2012
5. Driving style recognition using a smartphone as a sensor platform;Johnson D. A.;14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington, DC,2011
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