Modelling of Traffic Load by the DataFromSky System in the Smart City Concept

Abstract

Transport is an economic sector that is growing in the global scale in most of the monitored indicators. There are commensurately increasing negative effects on the urban population health and the environment (emissions, noise, hazardous material transport, congestion, human inactivity, etc.). The issue of sustainable transport, especially in the urban areas, is being discussed more often. Negative impact on the human health can never be avoided, but in a responsible and sustainable society the sets of measures are applied to minimise the impact. One of the possible approaches to the solution is to use the data obtained with the DataFromSky system focused on the intensity modelling and generation of emissions from transport. This system is a software tool that uses the real traffic information about the monitored area of traffic such as the type of the passing vehicles, their speed and acceleration profile. The data are analysed and processed in two stages. The first one is georegistration and the latter one is detection, localisation and cracking of objects of interest in the video sequence. These data are obtained by monitoring the traffic area with the application of the drone technology or camera systems. The measured data can be used for predictions and modelling of the emission development in transport. The aim is to create a supporting tool for traffic control which is in accordance with the smart city concept and leads to reducing the emission load from traffic.