A hybrid model for forecasting the volume of passenger flows on Serbian railways

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F15%3A39899860" target="_blank" >RIV/00216275:25510/15:39899860 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s12351-015-0198-5" target="_blank" >http://dx.doi.org/10.1007/s12351-015-0198-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12351-015-0198-5" target="_blank" >10.1007/s12351-015-0198-5</a>

Result language
angličtina
Original language name
A hybrid model for forecasting the volume of passenger flows on Serbian railways
Original language description
The accuracy of predicting the volume of railway passenger flows is very significant because of the vital role in the basic functions of transportation resources management. Although dealing with this problem is very often based on the use of the neuralnetworks, the uncertainty which dominates in the functioning of transportation systems is of great significance. The neural networks have been used for the time-series prediction with good results. This research compared two methods the parametric and the non-parametric approach. This study aims at presenting a hybrid model based on the integration of the genetic algorithm (GA) and the artificial neural networks (ANN) for forecasting the monthly volume of passengers on the Serbian railways. This innovative hybrid demonstrates how the genetic algorithms can be used to optimize the network architecture. By applying the idea of genetic algorithms in the neural networks, the integration is used so that on the basis of the input data, the se
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
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Project
<a href="/en/project/EE2.3.30.0058" target="_blank" >EE2.3.30.0058: Development of Research Teams at the University of Pardubice</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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