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Route planning is the key technical difficulty of logistics distribution. In this paper, a mathematical model is established for road network selection and real-time path planning. The improved genetic algorithm is used to select the road network of rail transit. Based on the traditional ant colony algorithm, the time-varying factor and line risk factor are introduced to improve the algorithm in line with real-time path planning. The experimental results show that the improved algorithm can change the route more quickly and accurately according to the real-time traffic changes to effectively improve the logistics transportation efficiency for complex routes and traffic conditions, and save the transportation cost.

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