Prediction Model of Passenger Waiting Time in High-Speed Rail Hub Based on Bp Neural Network

Yu Long Pei; Kan Zhou; Ting Peng

doi:10.4028/www.scientific.net/AMM.321-324.1903

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Prediction Model of Passenger Waiting Time in...

Prediction Model of Passenger Waiting Time in High-Speed Rail Hub Based on Bp Neural Network

Abstract:

In order to explore the characteristics of passenger waiting time in high-speed rail hub, this paper analyzed the influencing factors of passenger waiting time, based on the survey of passenger waiting time in high-speed rail hub. And the main influencing factors were screened out using variance analysis. Then the prediction model of passenger waiting time based on BP neural network was established, the parameters of the model were calibrated and the validity was verified. The results show that, travel time in urban area, trip distance, familiarity toward the hub, educational background of passengers, and the type of transportation is the main influencing factor of passenger waiting time in high-speed rail hub, and the average relative error is only 9.2% using the proposed prediction model of passenger waiting time based on BP neural network.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

1903-1906

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.1903

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Online since:

June 2013

Authors:

Yu Long Pei, Kan Zhou, Ting Peng

Keywords:

BP Neural Network (BPNN), High-Speed Rail Hub, Prediction, Traffic Engineering, Waiting Time

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