基于多路径优化算法的铁路网络分析系统开发

Research and Development of Railway Network Analysis System Based on Multi-path Optimization Algorithm

为提高运量预测和路网规划质量和效率,采用C++语言编写开发铁路网络分析系统,采用简化路网KSP计算技术、区段运量分配及动态调整技术、统计区段运量的OD构成技术与列车时刻数据的智能识别和径路提取技术,最终实现了12个主要系统功能。该系统实现了快速分析路网车站、线路关系,径路比较和运量分配以及断面流量分析,掌握客货流始发终到及运输路径,进行区段或枢纽客货流统计,读取外部海量旅客列车信息并进行统计分析等功能。系统经多个项目验证效果良好,输出结果无误,节省了设计时间,提高了数据准确度,可为铁路运量预测和路网规划提供支持。

To improve the quality and efficiency of traffic forecasting and road network planning,the railway network analysis system is developed by C++language.With K-shortest-paths simplified network technology,segment traffic allocation and dynamic adjustment technology,OD extraction technology,and intelligent recognition of train time data and route extraction technology,the system finally realizes 12 major system functions.These functions include analyzing road network stations and line relationship,comparing routes,analyzing volume distribution and section flow,mastering start-to-end and transportation path of passenger and cargo flow,carrying out segment or hub passenger and cargo flow statistics,reading external mass passenger train information and conducting statistical analysis.Many projects have verified the efficiency of the system and the correctness of the output results.It saves time,improves data accuracy,and provides support for railway network planning and volume forecasting.