Transportation and GIS
The management of modern public transport systems is closely linked to operational data such as delays or vehicle occupancy. The process of processing, storing and analysing such data is largely the same, but in terms of implementation it is often a matter of principle; each transport system has its own tool. One of the goals of our research group is to propose a universal methodology for processing and storing operational data independent of the structure of a given system. Our first output in this area is a data model based on the GTFS standard, which is implemented in the analysis tool, which was developed in collaboration with data.Brno. This tool processes and stores delays of public transport vehicles with an emphasis on storing relationships in the system, so that it is possible to track the trend of delays even over longer periods of time, as can be seen in the figures below.
Another goal of our research group is to improve and enhance the information used by passengers when travelling in transport systems. This information also includes a geographically accurate definition of the route of the line. Within our research group, in cooperation with KORDIS JMK, we have created the tool that allows the automated creation of geographically accurate line routes for the entire South Moravian region. As the figures below show, the tool can deal with a wide class of different variations of individual lines.
In the development of these tools we use Angular, React, Node.js framework and specialized databases such as PostGIS and InfluxDB.
Waze, widely known navigation app, has established a partnership with different cities, institutions etc. all around the world. It works both ways - partners (eg. cities) give data to Waze about planned constructions, road closures, events and more. Waze provides data about traffic delays and traffics alerts to its partners. One of this partners is also city Brno, which provides this data freely on its web data.Brno. In cooperation with this city, we developed a tool for analyzing and visualization of this data.
The goal of our research is to better understand automobile traffic data and different effects of alerts on city traffic and how it causes traffic delays etc. Another purpose is also to develop a tool for city traffic engineers, which can better understand the effect of road closures on the traffic and better plan/visualize different traffic restrictions.
For development of this tool, we use FastApi framework (Python) and React with Typescript.
Selected Products
Recent Publications
External Cooperation
Cooperation with Students
Each year we supervise a number of bachelor and master theses. We emphasize the applicability of the results to practice and good final grades.
Contact
Dexter@FIT
Faculty of Information Technology
Brno University of Technology
Božetěchova 2, 612 66 Brno, Czech Republic
