A reinforcement learning model for personalized driving policies identification

A reinforcement learning model for personalized driving policies identification

Optimizing driving performance by addressing personalized aspects of driving behavior and without posing unrealistic restrictions on personal mobility may have far reaching implications to traffic safety, flow operations and the environment, as well as significant benefits for users. The present wor...

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Bibliographic Details
Main Authors:	Dimitris M. Vlachogiannis, Eleni I. Vlahogianni, John Golias
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2020-12-01
Series:	International Journal of Transportation Science and Technology
Subjects:	Reinforcement learning Q-learning Machine learning Intelligent transportation systems Traffic data
Online Access:	http://www.sciencedirect.com/science/article/pii/S2046043020300198

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