Detecting anomalies in traffic data using a flexible semi-parametric model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F25%3A00636739" target="_blank" >RIV/67985807:_____/25:00636739 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/25:00383680
Result on the web
<a href="https://doi.org/10.1186/s12544-025-00728-7" target="_blank" >https://doi.org/10.1186/s12544-025-00728-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12544-025-00728-7" target="_blank" >10.1186/s12544-025-00728-7</a>
Alternative languages
Result language
angličtina
Original language name
Detecting anomalies in traffic data using a flexible semi-parametric model
Original language description
The paper addresses the task of improving the quality of traffic data by combining semantic analysis and statistical modeling. The study focuses on dynamic traffic variables, specifically speed and volume of traffic flow. The results are presented based on semantic quality control outputs for dynamic traffic variables. The semantic analysis aimed to find and label segments of time series waveforms that fell outside the expected value range at specific locations and times. This approach allowed for a more detailed analysis of specific cases, enhancing our understanding of traffic dynamics. We employed a Generalized Additive Model (GAM) to detect non-standard data segments successfully. Real traffic data from the motorway in the Czech Republic verified the effectiveness of the chosen statistical approach.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/CK04000189" target="_blank" >CK04000189: Data quality tools for ensuring system reliability of transport information centres</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Transport Research Review
ISSN
1867-0717
e-ISSN
1866-8887
Volume of the periodical
17
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
15
Pages from-to
33
UT code for WoS article
001497111200002
EID of the result in the Scopus database
2-s2.0-105006920465