A Decision-Making Strategy for Car Following Based on Naturalist Driving Data via Deep Reinforcement Learning

A Decision-Making Strategy for Car Following Based on Naturalist Driving Data via Deep Reinforcement Learning

To improve the satisfaction and acceptance of automatic driving, we propose a deep reinforcement learning (DRL)-based autonomous car-following (CF) decision-making strategy using naturalist driving data (NDD). This study examines the traits of CF behavior using 1341 pairs of CF events taken from the...

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Bibliographic Details
Main Authors: Wenli Li, Yousong Zhang, Xiaohui Shi, Fanke Qiu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
deep reinforcement learning
naturalist driving data
speed-acceleration distribution
action’s varying constraint
Online Access:https://www.mdpi.com/1424-8220/22/20/8055

Internet

https://www.mdpi.com/1424-8220/22/20/8055

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