Optimal scheduling of shared autonomous electric vehicles with multi-agent reinforcement learning: A MAPPO-based approach

The advent of shared autonomous electric vehicles (SAEVs) is expected to decarbonize the transport sector and enable large-scale mobility on demand. Considering the highly dynamic nature of operation environments, it is appealing to investigate the optimal schedule decisions, comprising order-matchi...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 622; p. 129343
Main Authors:	Tian, Jingjing, Jia, Hongfei, Wang, Guanfeng, Huang, Qiuyang, Wu, Ruiyi, Gao, Heyao, Liu, Chao
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 14.03.2025
Subjects:	Binary linear programming Multi-agent proximal policy optimization Optimal scheduling Shared autonomous electric vehicles Multi-agent proximal policy optimization Shared autonomous electric vehicles Binary linear programming Optimal scheduling
ISSN:	0925-2312
Online Access:	Get full text
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