铁水联运模型/算法测试与结果数据集

面向铁水联运场景建立了融合空间立体排队模型的铁路空重车厢运载调度优化模型。该数据集来源于辽宁港口集团与中国铁道科学研究院多式联运数据交互平台中以“大窑湾港”和“鲅鱼圈港”为起终点的铁水联运数据集，内含货物信息、港口堆存信息与铁路运力资源信息等多种数据；使用Excel对数据集合进行时间离散操作，并整理成多场景测试集合；使用Cplex、Matlab对铁水模型和算法进行多场景测试。

An optimized scheduling model for rail empty and loaded freight car operations integrated with a spatial three-dimensional queuing model was developed for the rail-water intermodal transportation scenario. This dataset is sourced from the rail-water intermodal transportation dataset with Dayao Bay Port and Bayuquan Port as the origin and destination, collected from the intermodal data interaction platform of Liaoning Port Group and China Academy of Railway Sciences. It encompasses multiple data types including cargo information, port storage information, and railway transportation capacity resource information. The dataset was processed with time discretization using Excel and organized into a multi-scenario test dataset. Multi-scenario testing of the rail-water intermodal models and algorithms was conducted using CPLEX and MATLAB.

搜集汇总

背景与挑战

背景概述

该数据集面向铁水联运场景，包含辽宁港口集团与中国铁道科学研究院多式联运数据交互平台中的货物信息、港口堆存信息与铁路运力资源信息等，用于铁路空重车厢运载调度优化模型的测试与验证。数据集包含13个文件，总数据量为190.59KB，格式多样，包括xlsx、pdf等。