Real-time RL-based Matching with H3 Geohash Partitioning in Smart Freight Platform

This research presents a novel Deep Q-Learning (DQL) framework designed for efficient real-time matching of shipments and vehicles in the freight transportation sector. The framework utilizes the H3 geospatial indexing system for accurate positioning and employs a pre-filtering mechanism to streamli...

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Veröffentlicht in:	IEEE Vehicular Technology Conference S. 1 - 7
Hauptverfasser:	Shiri, Ali, YarAhmadi, Asad, Keivanpour, Samira, Lamghari, Amina
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.10.2024
Schlagworte:	Companies Computational modeling Costs Deep Q-Learning Freight Transportation Geospatial analysis Indexing Learning-based algorithms Logistics Real-time Matching Real-time systems Reinforcement Learning Smart Transportation Transportation Vehicle dynamics Vehicular and wireless technologies
ISSN:	2577-2465
Online-Zugang:	Volltext
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