Introduction. This article aims to outline the practical aspects of verifying and analysing geospatial data created by various state and local government authorities, economic agents of all forms of ownership on a single geodetic and cartographic basis according to single technical regulations, based on the experience gained in performing work on collecting data of roads, road structures, road service facilities, traffic flows, natural and man-made phenomena, and to establish requirements for data portrayal.
Problems. The logistics of the country's defence capability, the efficiency of industry and agriculture, ensuring an adequate level of communication in society, as well as post-war reconstruction depend on the network of public roads of state importance, which was destroyed because of the full-scale invasion of the Russian Federation. Given the quantitative and qualitative changes that have occurred in the transport sector of Ukraine in recent years, there is an increasingly urgent need to conduct research that will allow, at least, finding out the actual parameters of modern transport flows and their impact on the road network and transporting facilities
Purpose. To generalize and systematize the acquired experience in working with geospatial data sets on public roads.
Materials and methods. Methods of complex and systematic analysis, abstract-logical, graphic, statistical, computational-constructive and comparative analyses using survey research data.
Results. A methodology for analysing and verifying geospatial data sets during the verification of a road passport has been developed.
Conclusions. Solving issues and tasks of planning the development of transport networks and managing transport flows is impossible without mathematical modelling. In turn, any model requires constant development for properly reproducing the behaviour of the modelled system, especially such a complex, multifactorial and time- and space-variable environment as transport flow. Transport network and transport flow survey data play an important role in model calibrating.