高速铁路换乘需求统计算法研究  

The research of transfer demand calculation for High-speed railway

作　　者：李丽辉[1,2] 朱建生 史峰[3] 单杏花[2] LI Lihui;ZHU Jiansheng;SHI Feng;SHAN Xinghua(Postgraduate Department, China Academy of Railway Sciences, Beijing 100081, China;Institute of Computing Technology, China Academy of Railway Sciences, Beijing 100081, China;School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

机构地区：[1]中国铁道科学研究院研究生部,北京100081 [2]中国铁道科学研究院电子计算技术研究所,北京100081 [3]中南大学交通运输工程学院,湖南长沙410075

出　　处：《铁道科学与工程学报》2018年第5期1111-1117,共7页Journal of Railway Science and Engineering

基　　金：国家自然科学基金资助项目(U1334207)

摘　　要：基于客票系统中现有的记录并未对换乘旅客进行标识,需要后期对原始数据进行深入挖掘才能获取。以往采用换乘方向的算法在处理大量数据时,耗时长,效率低。通过分析换乘旅客行为特征,提出一种比较OD最短路径距离的换乘需求统计方法。实例结果表明:该算法可以将运行效率提高近百倍,并能获得小于3%的相对误差,因此该算法用于换乘需求统计更高效。该算法在计算过程中保留了详细的车次换乘信息,因此该数据还可以用于支撑进一步的深入挖掘换乘需求特征。To get the precise transfer demand, deeply analysis for the passenger data is needed. The algorithm based on transfer direction has low efficiency and takes longer time when dealing with big quantity data. This paper proposed an algorithm based on OD shortest distance. The experiment indicated that this algorithm can improve the performance hundreds times with relative error lower than 3%. All the transfer information for each train trip are preserved during the calculation, these data can be used to support deeply analysis for traveler’s transfer demand characteristics.

关 键 词：铁路运输 高速铁路 最短路径 OD距离 换乘需求 

分 类 号：U293.13[交通运输工程—交通运输规划与管理]