End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm

Changing lanes while driving requires coordinating the lateral and longitudinal controls of a vehicle, considering its running state and the surrounding environment. Although the existing rule-based automated lane-changing method is simple, it is unsuitable for unpredictable scenarios encountered in...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Hongyu Hu, Ziyang Lu, Qi Wang, Chengyuan Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Subjects:	intelligent vehicle automated lane change driving style reinforcement learning deep deterministic policy gradient
Online Access:	https://www.mdpi.com/1424-8220/20/18/5443