Abstract
The purpose of the study is the development of methods of identification of vehicles. These methods based on the system of identification their optical images for organization of movement and reducing the number of road accidents. There is a way of mathematical processing of signals in this method. These signals are registered with the help of optical-electronic sensors for the rapid decision-making based on computer technology. As a result, there is a confirmation of the method’s operability in real conditions. Digital signal processing lets to determine the intensity, speed and density of traffic flow automatically. At the same time, multiplicative method is a method of multidimensional analysis in a multidimensional space of numerical criteria. It divides the traffic flow by classes. This technology opens a lot of great opportunities for optimizing traffic management and helps to improve the safety of vehicles. The results of the survey are proposed for using in smart city systems.
Highlights
The ideas of creating intelligent transport are connected with the concept of creating a smart city [1 - 6]
There is an analysis of the road situation and monitoring of traffic should be carried out in the metropolis
Criteria derived from correlation theory can be used, and the relationship between the features of the images can be taken as essential features
Summary
The ideas of creating intelligent transport are connected with the concept of creating a smart city [1 - 6]. The task of automatic monitoring is reduced to solving detection problems. Detection is one of the forms of classification. Objects that belong to the same image class have common properties. The simplest approach of detection of images is a comparison with the standard. There may be a correlation between them. Criteria derived from correlation theory can be used, and the relationship between the features of the images can be taken as essential features. Correlation is a feature indicating the relationship of the several numerical sequences. The paired correlation characterizes the relationship between the two sequences x i and yi.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
