Passenger Flow Analysis in Subway Using a Kind of Neural Network

Dai Yuan Zhang; Hai Nan Yang

doi:10.4028/www.scientific.net/AMM.713-715.2284

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Passenger Flow Analysis in Subway Using a Kind of...

Passenger Flow Analysis in Subway Using a Kind of Neural Network

Abstract:

This paper aims to analyze passenger flow in subway based on a kind of rational spline weight function neural network, in which the numerator of the spline is a cubic polynomial and the denominator of the spline is a quadratic polynomial, and this kind spline is denoted by 3/2 rational splines. There are many factors affecting the passenger flow. Combined the main influential factors with the self-learning method of neural network, we establish the neural network model of passenger flow in subway. This paper introduces the spline weight function neural network and the passenger flow model based on this neural network. Finally MATLAB simulation verifies that the 3/2 rational spline weight function neural network can be applied to analyze the passenger flow in subway with high accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2284-2287

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2284

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Online since:

January 2015

Authors:

Dai Yuan Zhang*, Hai Nan Yang

Keywords:

Neural Network, Passenger Flow, Rational Spline Weight Function

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* - Corresponding Author

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