Integrated passenger terminal capacity analysis under the capacity constraints of surrounding road network

• We model demand forecasting under the constraints of the surrounding roads capacity of integrated passenger terminal.
• We calculate the maximal passengers flow of terminal using the bi-level model.
• We consider the road network capacity as a constraint.
• The high performance transport modes need priority arrangement at the integrated passenger terminal because of the road capacity restraints.

Forecasting the demand of an integrated passenger terminal under the capacity constraints of its surrounding roads has always been a challenging problem for urban transportation terminals planning and construction in China. A bi-level model is proposed to forecast the passenger demand of an integrated terminal, whose throughput is restricted by the capacity of its surrounding road network. The upper level model maximizes the passenger flow of a terminal considering the capacity constraints of its surrounding road network. The User Equilibrium (UE) model is adopted as lower level model for traffic assignment. The adaptive genetic algorithm (AGA) is applied to solve this bi-level problem. The West-Lanzhou integrated passenger terminal in the Lanzhou city of China is used to test the feasibility and effectiveness of the proposed model. Test results show that, to reduce traffic congestion at the terminal, priority should be given to transportation mode with higher performance.