3. Research on Dynamic Passenger Flow Distribution of Rail Transit Based on Multi-dimensional Euclidean Distance

With the rapid development of urban rail transit, choosing subway for short-distance transportation has become the primary plan for many residents. The passenger flow distribution of urban rail transit has an important reference for improving ride comfort and urban rail transit operation management. This paper starts from the historical passenger flow data in and out of the station, uses the original data of the urban rail transit automatic fare collection system, and is based on the multi-dimensional Euclidean distance formula. Dynamic passenger flow distribution is performed on OD (Origin-Destination) data to obtain section passenger flow data. The result of dynamic passenger flow allocation can provide basic data for the passenger flow forecasting module on the one hand, and provide certain guidance for the planning and designing of rail transit on the other hand.