Artificial intelligence use in urban logistics and transport activities: Overview and research trends

This paper aims to describe current problems in logistics and to discuss the contribution of artificial intelligence in logistics, particularly urban logistics. The use of AI in logistics aims to overcome the constraints posed by increasing transport demand, CO2 emissions, safety issues and environmental impact. The best use of AI involves a good comprehension of the links between AI and the data, as well as the logistics system's characteristics and variablesTherefore, the following paper aims to identify the contribution of artificial intelligence to the development and optimization of logistics particularly urban logistics and urban freight transport. Then, based on a literature review, we will outlines AI techniques applied globally to solve logistics problems, mainly in the fields of urban management, warehousing, road safety and urban mobility. Finally, we discuss the issues and limitations of AI applications in logistics.