基于时空数据管道耦合和汇聚的OD路径溯源方法

OD Path Inference Method Based on the Time-space Data of Pipeline Coupling and Covergence

地铁的“无缝换乘”运行模式使乘客可以为同一OD对选择多种路线,同时在换乘时无需再次刷卡。这给乘客带来了方便的同时,也对不同线路的客流计算带来了巨大的挑战。为了更好地反映地铁网络中客流的分布,对票价进行合理的清分,研究乘客的路线选择行为就显得尤为重要。论文基于刷卡数据,结合列车时刻表和乘客走行时间,设计并实现了一种基于时空数据管道耦合和汇聚OD路径溯源方法。经过真实OD数据的测试,该方法可以还原90%以上正确的线路。

The subway's"seamless transfer"operation mode allows passengers to choose multiple routes for the same OD pair without having to tap their cards again when transferring.While this mode brings convenience to passengers,it also brings huge chal⁃lenges to passenger flow calculations on different routes.In order to better reflect the distribution of passenger flow in the subway net⁃work and to make a reasonable classification of fares,it is particularly important to study the route choice behavior of passengers.Based on the subway smart card data,combined with the train timetable and passenger travel time,the paper designs and imple⁃ments an OD path reversal method.After testing with real OD data,this method can restore more than 90%of the correct lines.