Open access
Aug 2026
Dynamic Route Optimization for Logistics Using Spatio-Temporal Deep Learning with Real-Time Traffic and Weather Data
This study presents a deep learning–enabled framework for real-time dynamic route optimization in logistics systems, addressing fundamental limitations of traditional static routing and heuristic-based decision approaches.
Ahmed Abdel-Wahab Rakha, Mohammed S. A. Elsersy
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