Trajectory Optimization of CAVs in Freeway Work Zone considering Car-Following Behaviors Using Online Multiagent Reinforcement Learning

Trajectory Optimization of CAVs in Freeway Work Zone considering Car-Following Behaviors Using Online Multiagent Reinforcement Learning

Work zone areas are frequent congested sections considered as the freeway bottleneck. Connected and autonomous vehicle (CAV) trajectory optimization can improve the operating efficiency in bottleneck areas by harmonizing vehicles’ manipulations. This study presents a joint trajectory optimization of...

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Bibliographic Details
Main Authors:	Tong Zhu, Xiaohu Li, Wei Fan, Changshuai Wang, Haoxue Liu, Runqing Zhao
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2021/9805560
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