Model of Cycling Traffic Intensity in Brno
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APR37646" target="_blank" >RIV/00216305:26230/23:PR37646 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/product/785/" target="_blank" >https://www.fit.vut.cz/research/product/785/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Model of Cycling Traffic Intensity in Brno
Original language description
The Brno Data Department has access to multiple datasets regarding cycling traffic numbers. They approached the faculty with a goal of developing a model integrating these sources for the Transportation Department of the city planning office to gain insight about how the infrastructure is used daily. Each dataset is aggregated to a different basemap with a slightly different street network. This thesis introduces an algorithmic approach to street matching based on similarity, overlap percentage and other parameters. Two algorithms for matching point-based and polyline-based geometries are presented, as well as a dashboard visualizing values from different datasets side-by-side. The robustness of the algorithms enables usage in any geographical application using spatial data. The dashboard provides useful information about cycling transport for both casual users and professionals designing the infrastructure of Brno.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
cyklo.data.brno
Technical parameters
Software dostupný pod licencí GPL-3.0 (https://github.com/Radluy/Cycling-traffic-intensity-Brno/blob/main/LICENSE).
Economical parameters
Software je využitý v rámci datového portálu města Brna. Výsledky budou využity pro zlepšování cyklistické dopravy ve městě.
Owner IČO
00216305
Owner name
Vysoké učení technické v Brně