BUTBrno University of Technology FITFaculty of Information Technology DIFSDepartment of Information Systems
Data analysis and visualization — in cities and beyond
We are students and researchers from the Information and Database Systems Research Group who share one goal: turning raw data into knowledge that helps people make better decisions. Our questions often come from cities and public institutions — from multimodal transport, car traffic and cycling to smart devices, IoT sensors and open data.
We process documents and infer their semantics, publish data as linked data, support regulatory compliance and combine proven methods with modern AI and large language models. This site presents the results — publications, software tools and student theses, many of them developed in practice with cities, institutions and companies — as well as our recent activities.
What we do
Research areas
Internet of Things
Cities are filling up with sensors and smart devices — from air quality stations to energy meters in public buildings. We help turn this growing ecosystem into something people can really use: platforms that connect diverse devices, process their data in real time and let non-experts automate what matters to them.
Explore the areaMobility and transport
How a city moves shapes how it lives. We combine data from public transport, road traffic, cycling and park-and-ride to understand delays and congestion, and build tools that help both planners and travellers make better choices across all modes of transport.
Explore the areaOpen data and government
Cities publish more data and documents than ever, but they only matter when people can use them. We process council records and other public documents, infer their meaning with the help of modern language models, link them together and help institutions make their decisions transparent.
Explore the areaData visualization and GIS
Data only helps a city when people understand it. We design dashboards, maps and geovisualizations that reveal patterns in complex urban data, and study how to make them clear, usable and trustworthy for decision makers and the public alike.
Explore the areaTry them out
Selected products
Try out tools and applications that emerged from our research, development and student theses. Click a product to open the running application or its home page with more details, such as its authors.
Analyticity
Map of traffic accidents, jams and closures in cities.
Carpub
Park-and-ride trip planner for South Moravia.
Council Voting Classifier
Topic classification of city council agendas.
EU Vote Analyzer
Analysis of European Parliament voting.
Geovisto
TypeScript library for geospatial visualization.
LineShaper
Accurate route shapes of public transport lines.
Lissy
Public transport routes and delays in South Moravia.
PubEval
Quality of public transport networks from GTFS.
Retail Site Decision System
Choosing the location of a retail store.
RIoT Platform
Real-time IoT data processing and KPI monitoring.
Routio
Trip planner with public transport and bikes.
Vlakograf
Train timetables as train graphs.
Walk and Ride
Walking and public transport trip planner.
Web Design Academy
Interactive platform for teaching web design.
What we publish
Recent publications
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Paper
Eliáš, R., Lazúr, J., Hynek, J., & Hruška, T. (2025, May). A Spatial Algorithm for Dataset Integration Applied to Cycling Data. In 2025 Smart City Symposium Prague (SCSP) (pp. 1-6). IEEE.
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Paper
Ondrušková, M., Hynek, J., & Burget, R. (2025, May). Towards Street-Level Traffic Analysis Using Waze Crowdsourced Data. In 2025 Smart City Symposium Prague (SCSP) (pp. 1-6). IEEE.
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Paper
Štolfa, F., John, P., Hynek, J., & Hruška, T. (2025, May). Transferability of ML Time Series Prediction for Energy Forecasting in Smart Homes. In 2025 Smart City Symposium Prague (SCSP) (pp. 1-6). IEEE.
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Paper
Šulc, O., John, P., Hynek, J., Valný, M., & Hruška, T. (2025, May). Enhancing Bulk KPI Evaluation Efficiency in Smart Cities Using Parallel Computing. In 2025 Smart City Symposium Prague (SCSP) (pp. 1-6). IEEE.
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Paper
Zaklová, K., John, P., Janošík, A., Hynek, J., & Hruška, T. (2025, May). Transparency in Czech Regions: Evaluation of Open Data Availability for Public Awareness. In 2025 Smart City Symposium Prague (SCSP) (pp. 1-6). IEEE.
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Paper
Turytsia, O., Zaklová, K., Hynek, J., John, P., & Hruška, T. (2025, January). Enhancing Retail Location Decisions in City of Brno: An Application of Geospatial Analysis Tools. In Information Systems Engineering and Management (pp. 469-486). Cham: Springer Nature Switzerland.
Cooperation with industry and public sector
Research in practice
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City:
data.Brno
We analyse and visualise open data of the City of Brno — public transport, car and cycling traffic, bike sharing, city council voting.
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City:
City of Most
We process the city's public transport and traffic data and its official documents, such as those on the official notice board.
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Public institution:
KORDIS JMK
We process real-time transport data of the South Moravian integrated transport system and generate precise routes of its lines.
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Public institution:
NDIC – ŘSD
We use the API of the National Traffic Information Centre to analyse static and dynamic traffic data.
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Company:
Logimic
We validate our IoT research results in practice on their Smart City platform — device management, data processing, dashboards.
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Company:
Waze
We analyse traffic alerts and jams from the Waze for Cities programme and their impact on city traffic.
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Company:
Arcdata Praha
We use their ArcGIS software and consult them on working with GIS and geodata.
Cooperation with students
Recent selected theses
Each year we supervise a number of bachelor and master theses. We emphasize the applicability of the results to practice and good final grades.
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Friedjung Dan · supervised by Jiří Hynek ArcGIS Storymap Excel@FIT 2× Excel@FIT: awarded by the expert panel · Audience award, Student GIS Talent 2025 Supported by City of Most Grade A
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Janeček Martin · supervised by Jiří Hynek Council Voting Classifier Excel@FIT IT SPY semifinalist 2026 Excel@FIT: awarded by industry partners Grade A
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Smažinka Petr · supervised by Jiří Hynek EU Vote Analyzer Excel@FIT Excel@FIT: awarded by high school students Grade A
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What we did and took part in
Recent activities
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2026
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Jan Kvapil is a finalist of the application competition with the ArcGIS StoryMap on analysing the quality of public transport networks using GTFS and open data.
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Oct
IT SPY 2026
Martin Janeček reached the semifinal of the IT SPY competition with the thesis Analysis and Visualization of Documents from Council Meetings.
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At our workshop When Cities Speak Through Data we presented the results of our public transport data processing.
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We visited the Brno in Numbers exhibition and presented the results of our students' theses to the data.Brno team.
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Jun
URBIS 2026
We visited the URBIS smart city fair to learn about new trends in smart cities.
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Jun
Our students in the Brno city newsletter
The city newsletter Co se děje v Brně featured the theses of Martin Janeček (a tool for city councils) and Adam Kaňkovský (a model of the impact of road closures).
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We visited Arcdata Praha to learn how GIS is used in Czech cities and institutions.
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May
Excel@FIT 2026
14 of our students presented their work at the Excel@FIT student conference and five of them were awarded — among them Jan Kvapil for PubEval, developed as a project practice.
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We welcomed Vojtěch Mašek (CTO of FlowUp, Google Developer Expert), who talked about what is new in Angular in the course Advanced Information Systems.
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2025
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A visit to the conference of the EULiST university alliance in Madrid, focused on sustainable solutions for climate-resilient societies.
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Dan Friedjung won the audience award with the ArcGIS StoryMap of the bachelor's thesis Crime Data Classification System for the City of Most.
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Oct
IT SPY 2025
The thesis Multimodal Transport Planner for the South Moravian Region reached the semifinal of the IT SPY competition.
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Sep
Czech European Researchers' Night 2025
We presented our analysis of public transport data and of voting data from the Czech Parliament.
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Who we are
Team
Other contributors
Many former team members, students, graduates and external collaborators have contributed to the listed software and publications over the years. Their work is cited on the Theses and Publications pages, or within the project websites and repositories of the listed Products.
If a contribution is missing, incorrect or not credited sufficiently, please let us know.