Selecting explanatory variables for passenger demand model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00342378" target="_blank" >RIV/68407700:21260/20:00342378 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SCSP49987.2020.9133993" target="_blank" >https://doi.org/10.1109/SCSP49987.2020.9133993</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP49987.2020.9133993" target="_blank" >10.1109/SCSP49987.2020.9133993</a>
Alternative languages
Result language
angličtina
Original language name
Selecting explanatory variables for passenger demand model
Original language description
This paper deals with identifying suitable variables for passenger demand prediction. Based on a data set from real tram network, a correlation analysis of candidates for explanatory variables was made against the number of boarding and disembarking passengers at selected stops. Apart from the dependence between the output and explanatory variables, the correlation analysis was also made between explanatory variables themselves. Moreover, because tram network consists of multiple stops and lines, the correlation analysis of the same variable at neighbouring stops was also performed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 Smart City Symposium Prague
ISBN
978-1-7281-6821-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
Jun 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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