This report proposes an optimization model algorithm for container freight train based on trans port capacity release.The algorithm combines K-means clustering and Dijkstra's shortest path algorithm to extract features from road and railway network data and search the shortest path under constraints to obtain the optimal route for container freight train meeting time and cost constraints.The report elaborates on the algorithm principles,model building,training and evaluation,and provides specific requirements on model input and output,application scenarios and effects.This algorithm helps leverage the advantages of railway transport,optimize allocation of freight resources,and improve the efficiency of multimodal transport.
维普
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