We present a ridership model of individual trajectories of users within a public transport network for which there are several different routes between origin and destiny and for which the automatic fare collection data does not include information about the exit station; only card identification and time of entry into the system. This model is implemented in the case of the Troncal component of TransMilenio, the BRT system that is the backbone of public transport in Bogot\'a. The granularity of the data allows to identify the occupation of every bus within the system at any particular day. As a validation, we compare the average bus occupation of two particular days, 17 of May of 2020 and the 1 of December of 2020.
翻译:我们展示了公共交通网络中用户个人轨迹的骑手模型,其来源和命运之间有几种不同的路线,其自动票价收集数据不包括出境站信息;只有卡片识别和进入系统的时间,该模型用于TransMilenio的Troncal部分,TransMilenio是波哥大公共交通的骨干;这些数据的颗粒性可以确定系统内任何一天每辆公共汽车的占用情况;作为验证,我们比较了2020年5月17日和2020年12月1日两个特定时间的平均客车占用时间。