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Title Artificial Intelligence: A Key To Smart And Sustainable Urban Freight Transport
ID_Doc 10580
Authors Ridaoui H.; Moufad I.; Jawab F.; Arif J.
Year 2024
Published 2024 IEEE 15th International Colloquium of Logistics and Supply Chain Management, LOGISTIQUA 2024
DOI http://dx.doi.org/10.1109/LOGISTIQUA61063.2024.10571498
Abstract This article delves into the functions and impacts of artificial intelligence (AI) in urban freight transport (UFT), starting by defining AI and urban freight transport as well as its performance. After citing examples of AI applications and their utilities in UFT based on a background that encompasses publications from ten years, the article examines the opportunities and challenges presented by AI in this field. Opportunities include improving route optimization, real-Time monitoring, and better resource management, while challenges encompass concerns regarding data privacy, integration complexities, and ethical considerations. Ultimately, the article ends by highlighting the transformative possibilities of AI in UFT and underscores the necessity of tackling challenges to fully harness its advantages. © 2024 IEEE.
Author Keywords Artificial Intelligence; intelligent urban freight transport; Smart Cities; sustainable urban freight transport; Urban Freight Transport


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