Preprint Article Version 1 NOT YET PEER-REVIEWED

Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

Long Gao 1 and Limin Jia 2,3,*
  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
  3. Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China
Version 1 : Received: 23 September 2016 / Approved: 26 September 2016 / Online: 26 September 2016 (08:11:45 CEST)
Version 2 : Received: 2 December 2016 / Approved: 2 December 2016 / Online: 2 December 2016 (07:52:00 CET)

How to cite: Gao, L.; Jia, L. Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform. Preprints 2016, 2016090085 (doi: 10.20944/preprints201609.0085.v1). Gao, L.; Jia, L. Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform. Preprints 2016, 2016090085 (doi: 10.20944/preprints201609.0085.v1).

Abstract

Urban rail transit has become the main mode to ease traffic congestion. Researches on the dynamic variation regularity of passenger flow distribution and passenger flow volume of urban rail transit hub platform have important implication in hub capacity design, operation organization and risk prevention. This paper proposes a passenger flow distribution integrating model (PFDIM) based on the basic theory analysis and basic parameter models of passenger flow distribution in hub platform. Simulation designs of PFDIM are built with Java and Anylogic, which contain simulation system functional framework, implementation path, simulation processes and simulation models. By case study, the performance comparison between two simulation methods indicates that simulation designs are scientific and accordant with the reality scene; calculation results prove that PFDIM has a good performance on describing the dynamic variation regularity of passenger flow distribution. Moreover, the experiments with different departure intervals could provide the reference for train scheduling under the viewpoint of traffic safety and service level.

Subject Areas

passenger flow distribution integrating model; urban rail transit hub platform; simulation and application; performance evaluation; traffic safety and service level

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