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...

Celý popis

Podrobná bibliografie

Vydáno v:	Neurocomputing (Amsterdam) Ročník 622; s. 129343
Hlavní autoři:	Tian, Jingjing, Jia, Hongfei, Wang, Guanfeng, Huang, Qiuyang, Wu, Ruiyi, Gao, Heyao, Liu, Chao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 14.03.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!