MODELLING PASSENGER DISTRIBUTION ON METRO STATION PLATFORM

Author(s)

Nikola Krstanoski - Faculty for Technical Sciences, Department for Transport and Traffic Engineering, University “St. Kliment Ohridski”, Bitola, Macedonia -

Abstract

The problems such as design of a metro station, an analysis of the station or line performance characteristics, simulation of passenger alighting and boarding process, simulation of metro line operation, etc. involve the need to get much better knowledge about the behavior of the passengers on the station platform in terms of their distribution among train doors in relation with the station design elements. Despite this, there have been only very limited number of researchers that tackled this problem. In this article, a model of passenger distribution among metro train doors has been developed. The model has been based on the data collected from the Bloor metro station in Toronto, Canada. Metro trains were video-taped during two-hour study period and data were obtained for the number of alighting and boarding passengers per each door and per each train. The results of the statistical analysis have shown that multinomial probability distribution appears to be a good model to describe passenger boarding and alighting process. It also has been shown that there has been clear dependence of the passenger distribution among train doors on the position of the platform entrance and exit points.