AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems

Baha Mohsen

doi:10.20944/preprints202409.0396.v1

Preprint Article Version 1 This version is not peer-reviewed

Version 1 : Received: 4 September 2024 / Approved: 5 September 2024 / Online: 5 September 2024 (08:20:23 CEST)

Urban logistics is a critical component of smart city initiatives, aiming to enhance the efficiency and sustainability of goods delivery in densely populated areas. This paper explores the integration of artificial intelligence (AI), autonomous vehicles, and Internet of Things (IoT) technologies to optimize urban logistics. By leveraging real-time data from IoT-enabled infrastructure and AI-driven analytics, we propose a framework for dynamic route planning, traffic signal control, and predictive demand management for delivery services.

Urban Logistics; Smart cities; AI; IoT; Autonomous Vehicles

Environmental and Earth Sciences, Other

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AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems

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