Proposed in this paper is a coordinated scheduling model of different traffic modes in a comprehensive passenger transport hub, with the minimum passenger cost as the optimization objective, the departure intervals of different modes （subway, light rail and bus） as the decision variables and with the vehicle configuration and trans- portation capacity matching as the constraint conditions. Then, by using the genetic algorithm toolbox in Matlab, the model is solved and is finally verified with the survey data in Xizhimen transportation hub in Beijing. The re- suits indicate that, after the coordinated scheduling, the passenger cost greatly reduces, and that the proposed model effectively solves the scheduling problem of comprehensive passenger transport hub.