Dynamic stochastic electric vehicle routing with safe reinforcement learning

Dynamic routing of electric commercial vehicles can be a challenging problem since besides the uncertainty of energy consumption there are also random customer requests. This paper introduces the Dynamic Stochastic Electric Vehicle Routing Problem (DS-EVRP). A Safe Reinforcement Learning method is p...

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Vydáno v:	Transportation research. Part E, Logistics and transportation review Ročník 157; číslo 157; s. 102496
Hlavní autoři:	Basso, Rafael, Kulcsár, Balázs, Sanchez-Diaz, Ivan, Qu, Xiaobo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2022
Témata:	Approximate Dynamic Programming Electric Vehicles Energy Consumption Green Logistics Reinforcement Learning Vehicle Routing Energy consumption Approximate dynamic programming Electric vehicles Vehicle routing Green logistics Reinforcement learning
ISSN:	1366-5545, 1878-5794
On-line přístup:	Získat plný text
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