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A COMPREHENSIVE REVIEW FOR ARTIFICAL NEURAL NETWORK APPLICATION TO PUBLIC TRANSPORTATION

Year 2017, Volume: 35 Issue: 1, 157 - 179, 01.03.2017

Abstract

This paper presents a comprehensive review of research studies related to the application of artificial neural networks (ANNs) to public transportation (PT) since 2000. PT applications with ANNs have a great prominence because it provides an opportunity of prediction, comparison and evaluation in PT. A short introduction for applied studies in public transportation based on NN is included to guide the unfamiliar readers and a detailed review table has been presented in the paper. More than a thousand studies have been viewed, however, 72 studies of PT are related to ANN. It is observed that multi-layer feed forward network with gradient descent training has been commonly used by now. In contrast, the other less known methods are prone to increase. This paper guides future research directions and presents the methods to be exerted in PT for input determination.

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There are 92 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Engin Pekel This is me

Selin Soner Kara This is me

Publication Date March 1, 2017
Submission Date June 13, 2016
Published in Issue Year 2017 Volume: 35 Issue: 1

Cite

Vancouver Pekel E, Soner Kara S. A COMPREHENSIVE REVIEW FOR ARTIFICAL NEURAL NETWORK APPLICATION TO PUBLIC TRANSPORTATION. SIGMA. 2017;35(1):157-79.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/