Time series of workload on railway routes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73597178" target="_blank" >RIV/61989592:15310/19:73597178 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-19810-7_37" target="_blank" >http://dx.doi.org/10.1007/978-3-030-19810-7_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-19810-7_37" target="_blank" >10.1007/978-3-030-19810-7_37</a>
Alternative languages
Result language
angličtina
Original language name
Time series of workload on railway routes
Original language description
The article presents the processing of time series of the workload on railway routes in the Czech Republic. The data for railway stations and signal blocks on routes were processed. The aim is to describe some typical railway stations form the point of structure and workload changes. Both passenger and freight trains are recorded. The descriptive data contains the monthly aggregation of count and weight for passenger and freight trains. Monthly-length correction of data was processed before the evaluation of the time series. Examples of time series for se-lected stations show that passenger trains are mainly stationary time series other-wise the freight trains are non-stationary time series with a trend. Some stations have a sessional component of series in data about freight trains. In that case, it is possible to predict the time series from old previous data.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Arteficial Intelligence Methods in Intelligent Algorithms
ISBN
978-3-030-19810-7
Number of pages of the result
11
Pages from-to
370-380
Number of pages of the book
404
Publisher name
Springer International Publishing AG, Switzerland
Place of publication
Cham
UT code for WoS chapter
000503762800037