Identification of the Composition of Transport Streams for Remote Satellite Monitoring

Abstract

The necessary condition for the successful conduct of project, construction and management activities in the field of road and transport infrastructure is the availability of information about the intensity and composition of TA. To determine the transport demand in urban street networks from the perspective of resource cost minimization, it is most expedient to use the method of remote satellite monitoring, which was tested in previous studies by the authors. The method is based on deciphering the satellite image by visual determination of density and subsequent determination of the intensity of motion through the functional dependence of the theory of transport flows. In the development of the method, the article investigates the possibility of identifying the composition of transport flows on the basis of resources provided by map service providers through information and telecommunication networks of General access. Under existing classifications identified visual, outline dimensional and constructive identity of the signs of motor vehicles of the different groups. The developed requirements for the spatial resolution of satellite images based on the analysis of its correlation dependencies and the scale of the image, allowed to determine the boundary values at which it is possible to recognize vehicles by composition. The estimation of accuracy of results of remote identification showed statistical reliability of the received values for streets and roads with a regular mode of movement.