Simulations on passenger behaviours at train stations

In China, governments take public transit very seriously, therefore many urban rail transit lines are built in major cities, at the same time, more and more rail stations are built along the rail transit lines. Passengers´ evacuation and capacity of the facilities in rail station are increasing concerns during rush hours. When passengers walk, passengers prefer shortest path and follow other passengers in the strange or constrained environment from Passenger´s Psychology and Physiology. In the paper, static floor field index model is used to model the behavior of choosing shortest path relating to walking goals (goal direction) and dynamic floor field for the behavior of following other passengers. Based on cellular automaton model (CA), a behavior model for passenger orderly activities considering goal direction, static floor field and dynamic floor field, microscopic motion and behavior decision is presented. The framework of simulation is also described based on the characteristic of station. The model and framework are testified and it is feasible.