Version 1
: Received: 4 September 2024 / Approved: 5 September 2024 / Online: 5 September 2024 (08:20:23 CEST)
How to cite:
Mohsen, B. AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems. Preprints2024, 2024090396. https://doi.org/10.20944/preprints202409.0396.v1
Mohsen, B. AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems. Preprints 2024, 2024090396. https://doi.org/10.20944/preprints202409.0396.v1
Mohsen, B. AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems. Preprints2024, 2024090396. https://doi.org/10.20944/preprints202409.0396.v1
APA Style
Mohsen, B. (2024). AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems. Preprints. https://doi.org/10.20944/preprints202409.0396.v1
Chicago/Turabian Style
Mohsen, B. 2024 "AI-Driven Optimization of Urban Logistics in Smart Cities: Integrating Autonomous Vehicles and IoT for Efficient Delivery Systems" Preprints. https://doi.org/10.20944/preprints202409.0396.v1
Abstract
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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.