Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory

The behavior of stair/escalator/elevator selection of passengers at the subway platform could directly affect the travel efficiency and even the service level of the station. This paper proposes a stair/escalator/elevator selection model of passengers at the subway platform, where the cellular automata model is used to simulate passenger movement, and the fuzzy logic theory is used to describe selection behavior. The distance to the stair/escalator/elevator and the density of passengers in front of the facility are selected as the main influence factors. The rationality and effectiveness of the selection model are verified by comparing the field data with simulation results of passengers choosing different stairs/escalators/elevators. The relationship between passenger quantity, passenger speed, escalator quantity, escalator location, and the traffic rate is analyzed based on simulation results, which can provide a theoretical reference for the facility layout optimization at the platform floor of the subway station.

Automated summary

This paper proposes a model for the selection of stairs/escalators/elevators by passengers at subway platforms, using cellular automata to simulate passenger movement and fuzzy logic theory to describe selection behavior. Distance to the facility and passenger density in front of it are identified as the main influencing factors. The model's rationality and effectiveness are verified by comparing field data with simulation results. The relationship between passenger quantity, speed, escalator quantity, location, and traffic rate is analyzed, providing a theoretical reference for optimizing facility layout at subway platforms.