Passenger Flow Assignment of Urban Rail Transit under Networking Conditions

Under the background of network operation of urban rail transit, the mode of "seamless transfer" has brought new challenges to the operation and management of urban rail transit while bringing convenience to passengers. Establishing a reasonable model to truly reflect the passenger flow assignment of the rail transit network, which is of great significance for solving the problem of balanced operation and ticket income distribution of existing network and predicting the impact on the current passenger flow with new metro lines accessing. The crowding effect of passenger travel, transfer times, and other influence factors are fully considered in this paper based on the characteristics of urban rail transit system. The definition method of feasible path is proposed, and the equilibrium assignment model of passenger flow based on feasible paths is established, which is solved by Frank-Wolfe algorithm. This model embodies the choice psychology of minimizing passenger travel impedance, and reflects the actual situation of route diversification. The effectiveness of the model and algorithm is verified by an example of the partial rail transit network in Beijing.