Modeling of passenger demand using mixture of Poisson components

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00507178" target="_blank" >RIV/67985556:_____/19:00507178 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/19:00332693
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Modeling of passenger demand using mixture of Poisson components
Original language description
The paper deals with the problem of modeling the passenger demand in the tram transportation network. The passenger demand on the individual tram stops is naturally influenced by the number of boarding and disembarking passengers, whose measuring is expensive and therefore they should be modeled and predicted. A mixture of Poisson components with the dynamic pointer estimated by recursive Bayesian estimation algorithms is used to describe the mentioned variables, while their prediction is solved with the help of the Poisson regression. The main contributions of the presented approach are: (i) the model of the number of boarding and disembarking passengers. (ii) the real-time data incorporation into the model. (iii) the recursive estimation algorithm with the normal approximation of the proximity function. The results of experiments with real data and the comparison with theoretical counterparts are demonstrated.
Czech name
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Czech description
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Project
<a href="/en/project/8A17006" target="_blank" >8A17006: (Ultra)Sound Interfaces and Low Energy iNtegrated SEnsors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019)
ISBN
978-989-758-380-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
617-624
Publisher name
SCITEPRESS
Place of publication
Setubal
Event location
Prague
Event date
Jul 29, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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