A Novel Driver Performance Model Based on Machine Learning
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference23 articles.
1. Aksjonov, A., Nedoma, P., Vodovozov, V., Petlenkov, E., and Herrmann, M. (2017). A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver's secondary activity: Case study. Proc. of the 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT), Sarajevo, Bosnia & Herzegovina, October 26-28, 23-28.
2. Introduction to Machine Learning;Alpaydin,2004
3. The effects of mobile telephoning on driving performance;Brookhuis;Accident Analysis & Prevention,1991
4. Analysis of vehicle-based lateral performance measures during distracted driving due to phone use;Choudhary;Transportation Research Part F,2017
5. Doshi, A. and Trivedi, M. M. (2011). Tactical driver behavior prediction and intent inference: A review. Proc. of the 2011 14th International IEEE Conference on Intelligent Transportation Systems, Washington, USA, October 5-7, 1892-1897.
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