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Intelligent transportation system plays an important role in the field of logistics transportation, which can improve the efficiency of logistics transportation, reduce costs and reduce traffic congestion. Logistics transportation planning and simulation is a key problem in the field of intelligent transportation. It can help logistics enterprises to carry out reasonable path planning and resource allocation, predict the possible problems in the transportation process in advance, and optimize the transportation scheme to improve the transportation efficiency. Based on the logistics and transportation planning and simulation in the field of intelligent transportation, this paper studies how to optimize the path selection, resource scheduling and transportation planning arrangement in the process of logistics and transportation through the modeling and simulation of the existing logistics and transportation system. The experimental results of this paper show that the logistics simulation system based on the field of intelligent transportation has advantages over the traditional logistics system in terms of transportation time, cost and safety indicators. Specifically, the average transportation time of this system is 8.5 hours, which is shorter than 10.5 hours of the traditional logistics system; the average cost is 4280 yuan, lower than 5000 yuan of the traditional logistics system, and the average safety index is 93.3%, which is higher than 88.5% of the traditional logistics system. It shows that the logistics simulation system based on the field of intelligent transportation has potential and feasibility in logistics transportation, which is expected to promote the development of logistics industry and improve the efficiency of logistics transportation.
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