scholarly journals Justification of an Integrated Approach to Ensuring Information Security of Unmanned Vehicles in Intelligent Transport Systems

2021 ◽  
Vol 12 (7) ◽  
pp. 1407
Author(s):  
Ivan Babkin ◽  
Olga Pisareva ◽  
Andrey Starikovskiy ◽  
Makhmudova Guljakhon ◽  
Yulia Anoshina
Author(s):  
Viacheslav N. Voronin ◽  
Arseniy A. Bimbinov ◽  
Alla L. Blagodir

This paper focuses on the potential problems of the introduction of digital technologies in transport in the socio-economic and legal dimension based on the assessment of the current state and development trends of the info and communication in the transport infrastructure in Russia, foreign experience. Moreover, it performs specific proposals for legal and financial regulation of issues and minimization of risks of liability for harm in conditions development of information transport systems. The paper analyses the role of the programs “Digital Economy of the Russian Federation” and “Safe and High-Quality Roads” in the development of intelligent transport systems that constitute some promising areas of the use of unmanned vehicles to improve the quality of life of people. Furthermore, we assess the development of entrepreneurial activity, high-tech industries, and the increase the investment attractiveness of Russia and analyse the strengthening of its position in the international arena. When it comes to the methodology, we use legal analytics, legislative technology, comparative law, and expert assessments. The results of this research reveal the features of the legal regulation of new and promising emerging relations in the digital economy. This is a strategic legal planning and legal experiment. Based on this conclusion, a system of prerequisites for the development of intelligent transport systems based on the analysis of national programs is formulated. The system of prerequisites includes three levels: I) technological prerequisites, II) infrastructural; and III) regulatory


2021 ◽  
Vol 2061 (1) ◽  
pp. 012097
Author(s):  
K Goloskokov ◽  
V Korotkov ◽  
A Nyrkov ◽  
T Knysh

Abstract The paper describes the problems of assessing the quality of intelligent transport systems related to organizational and technical systems based on the system analysis of information technologies. It provides the theoretical basis for describing the quality assessment process of intelligent transport systems. The paper also justifies the method of quality assessment of complex systems, which include intelligent transport systems. It is shown that the modern system of intelligent systems should not only be effective, but also not violate the required operation mode. The characteristic evaluating the effect of the target functioning has the properties of measurability, completeness and reliability. The intelligent transport systems may include systems that in the process of control ensure the achievement of set targets with the necessary quality of target functioning in a counteracting environment. In order for the system to function correctly, it is necessary to agree on a set of targets and a set of conditions, i.e. to implement an integrated approach to the functioning of the system as a whole. With an integrated approach it is necessary to agree on all the targets set for the system, as well as all the conditions under which it will operate.


2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.


2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  

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