Abstract: A deterministic coordinated passenger inflow control model was formulated. and an extended model was constructed under uncertain passenger demand by introducing a robust optimization approach based on scenario analysis, where the uncertain passenger demand can be represented by several scenario sets with given probabilities.The optimal inbound passenger volume with respect to each station during each equivalent time interval can be obtained to minimize the total number of passengers stranded outside each station.Beijing Metro Batong line was considered to verify the performance of the proposed model. When compared with the deterministic model, the results denote that the robust model can reduce the sensitivity of the control strategy to uncertain passenger demand and maintain the number of stranded passengers in an acceptable range under various demand scenarios.

Key words: urban rail transit, passenger inflow control, uncertain passenger demand, robust optimization