公铁联运模型/算法测试与结果数据集

面向公铁联运场景建立了融合定价和运输组织设计动态交互的两阶段优化模型。该数据集来源于国内外公开发表文献中的公铁联运数据，通过筛选并对其进行预处理，整理成多场景测试集合；使用Python、R对原始数据进行筛选、合并等预处理；使用Cplex、Matlab等软件对公铁模型和算法进行多场景测试。A two-stage optimization model integrating the dynamic interaction between pricing and transportation organization design is established for road-rail intermodal transport scenarios. This dataset is developed from road-rail intermodal transport data sourced from publicly published literature worldwide, and then undergoes screening, preprocessing and organization to form a multi-scenario test suite. Python and R are utilized to execute preprocessing operations including data screening and merging on the raw data; CPLEX, MATLAB and other professional software tools are employed to carry out multi-scenario tests on the proposed road-rail intermodal optimization model and its associated algorithms.

搜集汇总

背景与挑战

背景概述

该数据集面向公铁联运场景，构建了融合定价和运输组织设计动态交互的两阶段优化模型，并提供了多场景测试集合。数据来源于公开文献，经Python、R等工具预处理，使用Cplex、Matlab进行模型和算法测试，涵盖铁路、公路和水路运输领域。