2014Unpublished venueRequires access

Passenger Flow Prediction Model of the Newly Constructed Urban Rail Transit Line

Zhipeng Wang

Open publisher page 3 citations

Abstract

The newly constructed line of urban rail transit will come into being as a series of influences on the whole city public transportation network, which includes the urban rail transit network. Based on the analysis of the mechanism of influence produced in a newly constructed urban rail transit line on urban public traffic network, this paper builds a passenger prediction framework and constructs the prediction model. Finally, it combined the passenger volume forecast of Metro line 3 in Chengdu to verify the model. Prediction results show that the model has strong adaptability. It can be used to predict the passenger flow of a new line of urban rail transit.

About this research paper

What this paper is about

The newly constructed line of urban rail transit will come into being as a series of influences on the whole city public transportation network, which includes the urban rail transit network. Based on the analysis of the mechanism of influence produced in a newly constructed urban rail transit line on urban public traffic network, this paper builds a passenger prediction framework and constructs the prediction model. Finally, it combined the passenger volume forecast of Metro line 3 in Chengdu to verify the model. Prediction results show that the model has strong adaptability. It can be used to predict the passenger flow of a new line of urban rail transit.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The newly constructed line of urban rail transit will come into being as a series of influences on the whole city public transportation network, which includes the urban rail transit network. Based on the analysis of the mechanism of influence produced in a newly constructed urban rail transit line on urban public traffic network, this paper builds a passenger prediction framework and constructs the prediction model. Finally, it combined the passenger volume forecast of Metro line 3 in Chengdu to verify the model. Prediction results show that the model has strong adaptability. It can be used to predict the passenger flow of a new line of urban rail transit.

Key concepts: Urban rail transit, Public transport, Adaptability, Rail transit, Transport engineering, Urban transit, Line (geometry), Computer science

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