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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Veröffentlicht in:	Transportation research. Part E, Logistics and transportation review Jg. 157; H. 157; S. 102496
Hauptverfasser:	Basso, Rafael, Kulcsár, Balázs, Sanchez-Diaz, Ivan, Qu, Xiaobo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2022
Schlagworte:	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
Online-Zugang:	Volltext
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