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Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model
Passenger flow forecast is of essential importance to the organization of railway transportation and is one of the most important basics for the decision-making on transportation pattern and train operation planning. Passenger flow of high-speed railway features the quasi-periodic variations in a sh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238178/ https://www.ncbi.nlm.nih.gov/pubmed/25431586 http://dx.doi.org/10.1155/2014/950371 |
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author | Dou, Fei Jia, Limin Wang, Li Xu, Jie Huang, Yakun |
author_facet | Dou, Fei Jia, Limin Wang, Li Xu, Jie Huang, Yakun |
author_sort | Dou, Fei |
collection | PubMed |
description | Passenger flow forecast is of essential importance to the organization of railway transportation and is one of the most important basics for the decision-making on transportation pattern and train operation planning. Passenger flow of high-speed railway features the quasi-periodic variations in a short time and complex nonlinear fluctuation because of existence of many influencing factors. In this study, a fuzzy temporal logic based passenger flow forecast model (FTLPFFM) is presented based on fuzzy logic relationship recognition techniques that predicts the short-term passenger flow for high-speed railway, and the forecast accuracy is also significantly improved. An applied case that uses the real-world data illustrates the precision and accuracy of FTLPFFM. For this applied case, the proposed model performs better than the k-nearest neighbor (KNN) and autoregressive integrated moving average (ARIMA) models. |
format | Online Article Text |
id | pubmed-4238178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-42381782014-11-27 Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model Dou, Fei Jia, Limin Wang, Li Xu, Jie Huang, Yakun Comput Intell Neurosci Research Article Passenger flow forecast is of essential importance to the organization of railway transportation and is one of the most important basics for the decision-making on transportation pattern and train operation planning. Passenger flow of high-speed railway features the quasi-periodic variations in a short time and complex nonlinear fluctuation because of existence of many influencing factors. In this study, a fuzzy temporal logic based passenger flow forecast model (FTLPFFM) is presented based on fuzzy logic relationship recognition techniques that predicts the short-term passenger flow for high-speed railway, and the forecast accuracy is also significantly improved. An applied case that uses the real-world data illustrates the precision and accuracy of FTLPFFM. For this applied case, the proposed model performs better than the k-nearest neighbor (KNN) and autoregressive integrated moving average (ARIMA) models. Hindawi Publishing Corporation 2014 2014-11-05 /pmc/articles/PMC4238178/ /pubmed/25431586 http://dx.doi.org/10.1155/2014/950371 Text en Copyright © 2014 Fei Dou et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Dou, Fei Jia, Limin Wang, Li Xu, Jie Huang, Yakun Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model |
title | Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model |
title_full | Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model |
title_fullStr | Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model |
title_full_unstemmed | Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model |
title_short | Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model |
title_sort | fuzzy temporal logic based railway passenger flow forecast model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238178/ https://www.ncbi.nlm.nih.gov/pubmed/25431586 http://dx.doi.org/10.1155/2014/950371 |
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