Depertment
Department of Transport Telematics (K620)

The aim of the DIDYMOS project was to pilot test and define the possibilities of using HD maps for autonomous mobility.

For this purpose, a digital model of the selected pilot location with a tram track in Pilsen was created. During testing, advanced sensors and communication units were installed, allowing real-time detection of objects or obstacles on the road and its surroundings and informing other road users about potentially dangerous situations. The data was also transmitted to a server where it was implemented into the created HD maps of the test section and partly into the existing 3D model of the city of Pilsen. Thus, a dynamic digital model (so-called digital twin) of the pilot section was created. Based on the tests conducted on the behavior of the autonomous tram, a methodology was developed that clearly defines the requirements for dynamic HD maps for autonomous mobility.

The project results have great potential for further application both on the part of the infrastructure manager, as the creator of city models, and vehicle manufacturers who can use the dynamic city model for vehicle control, traffic management, etc. The entire project also defines the necessary functional and technical requirements for creating HD maps for emerging automated and autonomous mobility. These proposals will gradually be reflected by infrastructure managers as well as vehicle manufacturers with an emphasis on tram operation in the city.

And what does the Minister of Transport Martin Kupka think about the project? You can watch it in the video:

The aim of the project was to create procedures and rules for evaluation in the field of traffic data quality.

The solution was based on the knowledge of general methodologies and rules of "data governance" for data quality evaluation applied in various professional fields such as banking. Subsequently, ways to apply these procedures to specific traffic data were examined. The ability to continuously monitor the current quality of traffic data would significantly help improve the work not only in decision-making by traffic information center staff. For the research itself, data sets containing information from the primary road network of the Czech Republic were used, covering the years 2021 and 2022. Formally, these data sets represent comprehensive compilations in their original format acquired by the owner, the Directorate of Roads and Highways, through various technologies and systems. Among the predominant data sources are automatic traffic counters (ASD) and floating car data (FCD). Additionally, data from highway rest areas and weather stations were analyzed. The project's output is primarily a sophisticated methodology for describing and automated analysis and control of specific traffic data, which allows for a comprehensive structure of rules for evaluating the quality of these data. A significant result is also the created and verified statistical model (GAM), which, based on knowledge of the specifics of the data sets, allows automatic detection of anomalies contained in the data. This enables subsequent targeted analysis to determine whether it is an error in the data source or the real state of the traffic system. Thanks to these methodological procedures and rules for working with data and creating quality rules, it is possible to analyze, control, and evaluate the quality of extensive continuous data sets either comprehensively for data sources, technologies or specific sections of road communications using available data governance tools.

The aim of the ALTNAVI project was to use alternative localization infrastructure in tunnels to determine precise positions for navigation systems as well as other advanced systems that require positional information which is significantly limited in tunnel environments.

Functional tests were conducted in urban and highway tunnels within the project, verifying both the localization function itself and integration into cooperative systems, including inter-vehicle communication.

The project results were reflected in the creation of certified methodology by the Ministry of Transport of the Czech Republic and significantly supported the development of localization components in tunnels throughout the Czech Republic, including their use in navigation applications, thus having a real impact on regular end users through technical conditions issued by MD ČR.

Due to the success of the project, activities continued in the currently ongoing SAFELOCT project, which expands on achieved results and addresses integration into tunnel control systems.