Analysis of the Potential Use of Unmanned Aerial Vehicles and Image Processing Methods to Support Road and Parking Space Management in Urban Transport

Progressive urban density affects city centers especially and results in growing congestion, lack of parking spaces, increasing environmental costs transportation, causing increased air pollutant emissions noise. These phenomena reduce the attractiveness result a degradation quality life for its residents. In light these phenomena, there is clear need intelligent management space using new technologies that would be complementary to existing transportation systems. Expanding information resources obtained from mobile cameras will have positive impact on efficiency use limited centers. It also an reducing external transport logistics services provided city. The main aim paper develop concept system cities vision systems mounted unmanned aerial vehicles. model concern cases lane occupation by freight vehicles analysis spaces order improve their management. developed contribute automation process increase resources.