Review of Stochastic Dynamic Vehicle Routing in the Evolving Urban Logistics Environment

Urban logistics encompass transportation and delivery operations within densely populated urban areas. It faces significant challenges from the evolving dynamic and stochastic nature of on-demand and conventional logistics services. Further challenges arise with application doctrines shifting toward...

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Veröffentlicht in:	Mathematics (Basel) Jg. 12; H. 1; S. 28
Hauptverfasser:	Mardešić, Nikola, Erdelić, Tomislav, Carić, Tonči, Đurasević, Marko
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2024
Schlagworte:	Analysis approximate dynamic programming Customer services Customers Datasets Evolution Literature reviews Logistics Logistics services Markov decision process reinforcement learning review stochastic dynamic vehicle routing problem Taxonomy Travel time Urban areas Vehicle routing Vehicles
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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