Analysis and visualization of data obtained from camera mounted on unmanned aerial vehicle used in areas of urban transport.

• Automatic algorithm of counting vehicles driving in opposite directions using unmanned aerial vehicle. • Data acquired from cameras mounted on UAV for analysis of urban transportation systems and its sustainability. • Analysis of the road traffic concerning local road restoration, causing road congestions. • Result of this paper may be used in the future together with the data from existing intelligent transportation systems. • Case study. Quantitative measurements and the simulation result that justify the use of UAV within smart sustainable cities. Nowadays, it is practically impossible to find a public place, where a person or object would not be under constant camera observation (mainly used to monitor traffic and to increase safety). Interpretation of such repositories, due to the huge amount of data, is not an easy task. Thus there is a need to introduce an intelligent processing systems that, through algorithmic image analysis, are able to detect e.g. situations worth of attention. The article presents methods of data acquisition from cameras mounted on unmanned aerial vehicles (UAV) and their further analysis, which may be used to improve urban transportation systems and its sustainability. The worked out data concern the situation of urban transport in points of intersection of national and local roads. The analysis of the road traffic concerning local road restoration, causing road closure was achieved using image processing and analysis algorithms. The data was obtained from unmanned aerial vehicle flights in critical city locations. Result of this paper may be used in the future together with the data from existing intelligent transportation systems (a fusion of such data will be needed). The application of used methods will allow to extend and support the existing approaches to manage public and freight transport in cities. [ABSTRACT FROM AUTHOR]