The team consists of experts in geography, mathematics, and geoinformatics who specialize in advanced spatial data analysis.
We focus on a wide range of topics – from traffic accidents, location and infrastructure data to image and lidar data. We solve complex tasks at the intersection of transport, safety, and the environment.
We have developed unique geostatistical methods, such as KDE+ for detecting locations with a high concentration of traffic accidents and its extension STKDE+ for monitoring the temporal development of risky locations. We are also the authors of the ROCA method for detecting curves and calculating their radii. We manage an extensive database of traffic incidents RUPOK and operate applications for the visualization and analysis of traffic accidents (nehody.cdvgis.cz, kdebourame.cz), including rail and urban transport.
We evaluate transport safety from the perspective of collisions with wildlife, analyze cyclist comfort and the impact of protective helmets. We perform network analyses and evaluate the vulnerability, robustness, and resilience of transport networks. We actively use drones, GIS, statistical software, and image processing tools, including lidar data analysis.
We regularly publish our results in leading international scientific journals, present them at conferences, and participate in national and international projects. The results of our work include not only new methods and applications, but also specific solutions for increasing the safety and efficiency of transport in the Czech Republic and abroad.
Advanced spatial and spatiotemporal analysis of traffic accidents and identification of hazardous locations,
traffic safety research focusing on vulnerability, robustness, and resilience of transport networks,
analysis of wildlife collisions, vulnerable road users, and evaluation of the effectiveness of preventive measures,
collection, management, and analytical use of big data (accident, movement, image, LiDAR), development of custom databases, e.g. RUPOK, Srazenazver.cz,
development of new methods, software tools, and web mapping applications for processing and visualisation of traffic data.
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