A Deep Reinforcement Learning Framework for Last-Mile Delivery with Public Transport and Traffic-Aware Integration: A Case Study in Casablanca

A Deep Reinforcement Learning Framework for Last-Mile Delivery with Public Transport and Traffic-Aware Integration: A Case Study in Casablanca

Optimizing last-mile delivery operations is an essential component in making a modern city livable, particularly in the face of rapid urbanization, increasing e-commerce activity, and the growing demand for fast deliveries. These factors contribute significantly to traffic congestion and pollution,...

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Bibliographic Details
Main Authors: Amine Mohamed El Amrani, Mouhsene Fri, Othmane Benmoussa, Naoufal Rouky
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Infrastructures
Subjects:
multimodal urban logistics
last-mile delivery systems
reinforcement learning for logistics
proximal policy optimization
traffic-aware delivery optimization
public transport-based trans-shipment
Online Access:https://www.mdpi.com/2412-3811/10/5/112
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