A Spatial Algorithm for Dataset Integration Applied to Cycling Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0197682" target="_blank" >RIV/00216305:26230/26:0197682 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11037701" target="_blank" >https://ieeexplore.ieee.org/document/11037701</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SCSP65598.2025.11037701" target="_blank" >10.1109/SCSP65598.2025.11037701</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Spatial Algorithm for Dataset Integration Applied to Cycling Data

Popis výsledku v původním jazyce

Abstract-One of the main problems of modern Smart Cities is the constant increase in traffic volume and travel times. City governments are trying to address these problems by promoting alternative modes of transport, including cycling. The infrastructure of modern Smart Cities is planned on the basis of analyses obtained from various data sources. In the case of cycling, suitable data comes from e.g. automated counters, manual counts or training applications. The first step in the effective use of data is typically to assign the data to the corresponding physical infrastructure elements in real space. Thus, the geographic component of datasets plays an important role in linking them. However, different data sources describe the same infrastructure elements differently, which makes it impossible to link the datasets in a straightforward way. The city of Brno had to deal with such a problem when trying to use the available data sources to improve the quality of cycling infrastructure. The purpose of this paper was to propose a method for transforming the different input datasets describing cycling transport into a common dataset that will serve as a basic data source for the analyses. The result is an integration algorithm that links the data describing the same infrastructure elements. The output of the algorithm is a model mapping the individual datasets into one common mapping network. This mapping can then be applied to both existing and future data. The implemented solution was tested in cooperation with the Brno City Council, where the integration of 5 different datasets was tested. The use of the integrated data was subsequently tested within two implemented dashboards.

Název v anglickém jazyce

A Spatial Algorithm for Dataset Integration Applied to Cycling Data

Popis výsledku anglicky

Abstract-One of the main problems of modern Smart Cities is the constant increase in traffic volume and travel times. City governments are trying to address these problems by promoting alternative modes of transport, including cycling. The infrastructure of modern Smart Cities is planned on the basis of analyses obtained from various data sources. In the case of cycling, suitable data comes from e.g. automated counters, manual counts or training applications. The first step in the effective use of data is typically to assign the data to the corresponding physical infrastructure elements in real space. Thus, the geographic component of datasets plays an important role in linking them. However, different data sources describe the same infrastructure elements differently, which makes it impossible to link the datasets in a straightforward way. The city of Brno had to deal with such a problem when trying to use the available data sources to improve the quality of cycling infrastructure. The purpose of this paper was to propose a method for transforming the different input datasets describing cycling transport into a common dataset that will serve as a basic data source for the analyses. The result is an integration algorithm that links the data describing the same infrastructure elements. The output of the algorithm is a model mapping the individual datasets into one common mapping network. This mapping can then be applied to both existing and future data. The implemented solution was tested in cooperation with the Brno City Council, where the integration of 5 different datasets was tested. The use of the integrated data was subsequently tested within two implemented dashboards.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE Xplore

ISBN

979-8-3315-2550-7

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Prague

Místo konání akce

Prague

Datum konání akce

28. 5. 2025

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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