Reinforcement Learning for Dynamic Optimization of Eco-Driving in Smart Healthcare Transportation Networks

Smart transportation networks face increasing demands for efficiency and sustainability. This study presents a reinforcement learning approach that optimizes eco-driving strategies for connected and automated vehicles (CAVs) in urban environments, with a particular application to healthcare logistic...

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Vydáno v:	IEEE transactions on intelligent transportation systems s. 1 - 12
Hlavní autoři:	Cai, Wang, Anwlnkom, Tomley, Zhang, Lingling, Basheer, Shakila, Yang, Jing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	Adaptation models dynamic optimization eco-driving Energy efficiency Heuristic algorithms Logistics Medical services Optimization Reinforcement learning smart healthcare transportation networks Transportation twin delayed deep deterministic policy gradient algorithm Urban areas Vehicle dynamics
ISSN:	1524-9050, 1558-0016
On-line přístup:	Získat plný text
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