software

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.

cycling, transport, traffic, infrastructure, data analysis, data warehouse, visualization, data modelling, datasets, geographical information systems

17. 5. 2023

Github: https://github.com/Radluy/Cycling-traffic-intensity-Brno

K využití výsledku jiným subjektem je vždy nutné nabytí licence

Poskytovatel licence na výsledek nepožaduje licenční poplatek

https://www.fit.vut.cz/research/product/785/