Legal Aspects of the Use of Unmanned (Autonomous) Transport within the Framework of the Implementation of Intelligent Transport Systems in the Russian Federation

2021 ◽  
pp. 771-778
Author(s):  
Olga A. Serova ◽  
Aleksandr T. Naniev
Keyword(s):  
Russian Federation ◽  
Legal Aspects ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Russian Federation

IMPLEMENTATION OF INTELLIGENT TRANSPORT SYSTEMS (ITS) IN THE RUSSIAN FEDERATION

2016 ◽  
Vol 3 (1) ◽  
pp. 269-272
Author(s):  
Пышный ◽  
V. Pyshnyy ◽  
Моргачев ◽  
S. Morgachev ◽  
Коржанков ◽  
...  
Keyword(s):  
Russian Federation ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Russian Federation ◽  
Goals And Objectives

The article presents some of the most urgent problems of the country´s transport infrastructure, and one of the ways to solve them, the main advantages of the introduction of intelligent transport systems in the Russian Federation in relation to road transport, also presented the priority goals and objectives of the ITS and their impact on the needs of society and the economy.

scholarly journals Features of Organisation of Transport and Logistics Cluster Prioritising Intelligent Transport Technologies Development

2021 ◽  
Vol 18 (4) ◽  
pp. 156-173
Author(s):  
E. V. Budrina ◽  
A. S. Lebedeva ◽  
L. I. Rogavichene ◽  
K. B. Kvitko
Keyword(s):  
Russian Federation ◽  
Rapid Development ◽  
Cluster Formation ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Legal Information ◽  
Intelligent Transport ◽  
Role Of The State ◽  
The Russian Federation

The article examines the prospects for organizing a cluster as an effective tool for ensuring connectivity of territories of the Russian Federation through the systematic and integrated implementation of intelligent transport technologies, which corresponds to strategic directions of development of transport in the Russian Federation and determines the relevance of the topic. The objective of the study is to determine the features of organisation of the transport and logistics cluster prioritising development of intelligent transport technologies by analysing the prospects for their development, studying variability of characteristics and structure of the cluster under various conditions of its formation based on the methods of formal logic, grouping, analysis of statistical data, normative-legal information, information synthesis. The study resulted in identification of prerequisites for the most rapid development and effective implementation of intelligent transport systems within the cluster. The expediency of using this approach has been substantiated, despite its labour intensity and cost. The study suggests definitions of an innovative transport and logistics cluster, as wells as characteristics of the transport and logistics cluster prioritising intelligent transport technologies. The study revealed the specifics of organisation of this cluster, which is primarily determined by the presence of dual characteristics. The peculiarities of cluster formation are reflected in the proposed structure of the cluster under study. The role of the state in organizing an innovative transport and logistics cluster is also defined

scholarly journals Prospects for Reducing Accidents on the Roads of the Russian Federation Using the Scientific and Methodological Approach

2021 ◽  
Vol 334 ◽  
pp. 01038
Author(s):  
Sergey Glagolev ◽  
Aleksander Novikov ◽  
Ivan Novikov ◽  
Anastasia Shevtsova
Keyword(s):  
Russian Federation ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Methodological Approach ◽  
Emergency Situation ◽  
Transport Systems ◽  
Intelligent Transport ◽  
Emergency Situations ◽  
Depth Analysis ◽  
The Russian Federation

This article reports the results of an in-depth analysis of the transport situation in the Russian Federation and presents the main programmes, aimed at its improvement. The paper deals with the major ways of reducing risk of traffic accidents and increasing traffic safety. The paper proposes the scientific and methodological approach, providing the specialists with the opportunities of conducting a comprehensive assessment of the causes of emergencies and aiming at eliminating road accidents rates. The origin of the process of an emergency situation occurrence has been investigated and designed, the key components (constituents) of the process have been identified and the basic mechanisms, influencing the basic components, have been analyzed. The algorithm of the application of the proposed and developed scientific and methodological approach at the level of departmental organizations has been suggested. The article describes the mathematical model of the process of emergency situations occurrence, which, together with the applied telematics systems and intelligent transport systems, will help to achieve the basic objectives of the study.

scholarly journals Improving traffic management through the use of intelligent transport systems

2021 ◽  
Vol 341 ◽  
pp. 00044
Author(s):  
Alina Kambur ◽  
Liliya Kushchenko ◽  
Ivan Novikov
Keyword(s):  
Traffic Management ◽  
Transport Systems ◽  
Road Accidents ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Road Users ◽  
Car Park ◽  
The Russian Federation ◽  
High Degree ◽  
The City

The high degree of the trend in the development of the car park leads to significant problems: an increase in road accidents; reduced bandwidth, especially during peak hours; overrun and loss of time by road users; overconsumption of fuel and, as a result, deterioration of the environmental situation. One of the ways to solve the problem of traffic management is the use of intelligent transport systems (ITS). Examples of the use of ITS in various countries are given, improvements in the use of systems are considered. The system “Auto-Intellect” used on the territory of the Russian Federation is considered. On the example of the city of Belgorod, a method is proposed for using ITS by prohibiting vehicles from entering the city, taking into account certain state license plates.

scholarly journals Perspectives of the implementation of intelligent transport systems in the Oryol urban agglomeration

2021 ◽  
Vol 341 ◽  
pp. 00053
Author(s):  
Andrei Bodrov ◽  
Denis Lomakin ◽  
Oleg Ivanov ◽  
Ekaterina Minaeva
Keyword(s):  
Traffic Management ◽  
Traffic Monitoring ◽  
The State ◽  
Urban Agglomeration ◽  
Transport Systems ◽  
Engineering Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Russian Federation ◽  
Monitoring Performance

In the presented work authors discuss and put under scrutiny perspectives of the implementation of intelligent transport systems (ITS) in urban agglomerations in the Russian Federation on the example of the Oryol urban agglomeration. The degree of readiness of the Oryol urban agglomeration for the implementation of intelligent transport systems was assessed by applying the following criteria: a) the state of traffic monitoring performance, b) the state of traffic management organization and road safety, c) the state of transport planning organization, d) the state of traffic administration, e) the degree of justification for the implementation (improvement) of ITS in the agglomeration, f) the level of development of ITS in the region, g) resource provision of ITS engineering systems.

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

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.

ASSESSMENT OF THE READINESS OF THE OREL CITY AGGLOMERATION TO IMPLEMENT INTELLIGENT TRANSPORT SYSTEMS

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