2011•Journal of Computer ApplicationsRequires access

Passenger flow distribution in rail transit no-barrier transfer mode

Jianping Liu

Open publisher page 1 citations

Abstract

Passing-by passenger flow is the basis of rail transit passenger analysis.Based on the bus Origin-Destination(OD) matrix estimation model,attraction weight coefficient method was introduced into passenger flow research in rail transit no-barrier transfer mode.Using passenger entry and exit data from Automatic Fare Collection(AFC) system as input,a new passenger flow analysis model was presented.Passengers transfer times and passing-by stations(distance factor) were considered in this passenger distribution method.The case indicates that it can increase the accuracy to consider the range of passenger flow peak.

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What this paper is about

Passing-by passenger flow is the basis of rail transit passenger analysis.Based on the bus Origin-Destination(OD) matrix estimation model,attraction weight coefficient method was introduced into passenger flow research in rail transit no-barrier transfer mode.Using passenger entry and exit data from Automatic Fare Collection(AFC) system as input,a new passenger flow analysis model was presented.Passengers transfer times and passing-by stations(distance factor) were considered in this passenger distribution method.The case indicates that it can increase the accuracy to consider the range of passenger flow peak.

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Available abstract

Passing-by passenger flow is the basis of rail transit passenger analysis.Based on the bus Origin-Destination(OD) matrix estimation model,attraction weight coefficient method was introduced into passenger flow research in rail transit no-barrier transfer mode.Using passenger entry and exit data from Automatic Fare Collection(AFC) system as input,a new passenger flow analysis model was presented.Passengers transfer times and passing-by stations(distance factor) were considered in this passenger distribution method.The case indicates that it can increase the accuracy to consider the range of passenger flow peak.

Key concepts: Urban rail transit, Transfer (computing), Rail transit, Flow (mathematics), Mode (computer interface), Computer science, Range (aeronautics), Transit (satellite)

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