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We present a ridership model of individual trajectories of users within apublic transport network for which there are several different routes betweenorigin and destiny and for which the automatic fare collection data does notinclude information about the exit station; only card identification and timeof entry into the system. This model is implemented in the case of the Troncalcomponent of TransMilenio, the BRT system that is the backbone of publictransport in Bogot\'a. The granularity of the data allows to identify theoccupation of every bus within the system at any particular day. As avalidation, we compare the average bus occupation of two particular days, 17 ofMay of 2020 and the 1 of December of 2020.

Passenger Network Ridership Model Through a BRT System, the case of TransMilenio in Bogot\'a