Detecting anomalies in traffic data using a flexible semi-parametric model

Detecting anomalies in traffic data using a flexible semi-parametric model

Abstract 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 f...

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Bibliographic Details
Main Authors: Zuzana Purkrábková, Martin Langr, Pavel Hrubeš, Marek Brabec
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:European Transport Research Review
Subjects:
Traffic anomalies
Data quality
Data governance
GAM model
Traffic data
Online Access:https://doi.org/10.1186/s12544-025-00728-7
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https://doi.org/10.1186/s12544-025-00728-7

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