A Spatial Algorithm for Dataset Integration Applied to Cycling Data
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
A Spatial Algorithm for Dataset Integration Applied to Cycling Data
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE Xplore
ISBN
979-8-3315-2550-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Prague
Event location
Prague
Event date
May 28, 2025
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—