Modeling of intelligent transport systems maintenance processes

Abstract The paper describes the problems of modeling of technical support systems of transport systems related to organizational and technical systems based on the implementation of the system approach to information technologies. It gives the theoretical basis for the description of technical maintenance of intelligent transport systems taking into account cybernetic representation. The paper also justifies the formalization of the process of technical maintenance of information systems, which include intelligent transport systems. It shows that a modern maintenance system of intelligent systems should be able to quickly adapt to needs and, if necessary, increase the amount of recovery works without disrupting the existing mode of operation.

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Error correction algorithms in on-board intelligent transport data transmission systems

Journal of Physics Conference Series ◽

10.1088/1742-6596/2061/1/012097 ◽

2021 ◽

Vol 2061 (1) ◽

pp. 012097

Author(s):

K Goloskokov ◽

V Korotkov ◽

A Nyrkov ◽

T Knysh

Keyword(s):

Quality Assessment ◽

Intelligent Systems ◽

Information Technologies ◽

System Analysis ◽

Integrated Approach ◽

Assessment Process ◽

Transport Systems ◽

Intelligent Transport Systems ◽

Intelligent Transport

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.

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Application of intelligent systems in transport

RUDN Journal of Engineering Researches ◽

10.22363/2312-8143-2019-20-3-236-243 ◽

2019 ◽

Vol 20 (3) ◽

pp. 236-243

Author(s):

Irina M. Popova ◽

Sergey V. Timofeev ◽

Igor K. Danilov

Keyword(s):

Fuel Consumption ◽

Intelligent Systems ◽

Transport Systems ◽

Railway Transport ◽

Intelligent Transport Systems ◽

Repair Work ◽

Intelligent Transport ◽

Operational Life ◽

Transport Safety ◽

Accounting Control

The article discusses the application of intelligent transport systems for railway transport. The purpose of developing intelligent transport systems on railway transport is to strictly comply with the requirements for ensuring transport safety, reducing the level of environmental impact, significantly improving the efficiency of production activities. The software makes automatic accounting, control and analysis of fuel and energy resources consumption on the basis of the obtained data. At the same time, the dynamics of changes in fuel consumption indicators, actual and estimated costs of diesel fuel are visually reflected in real time on the monitor screen. If necessary, the system will help to identify the reasons for non-matching of these parameters and quickly contact the locomotive team to provide qualified assistance in their elimination. It is important that the hardware structure and the structure of the system software expand functionality, providing continuous operation and repair work, increasing the number of measured parameters, creating a closed fuel consumption control system in a locomotive economy. The use of these systems makes it possible to obtain an integrated assessment of the heat engineering condition of a locomotive with further scientifically substantiated correction of overhaul runs, to control its location and solve many other problems, which contributes to an increase in overhaul runs and the operational life of the locomotive.

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FORMING THE CONCEPT OF INFORMATION TECHNOLOGY MANAGEMENT OF THE CITIZENS ‘INTELLECTUAL TRANSPORTATION SYSTEM

Avtoshliakhovyk Ukrayiny ◽

10.33868/0365-8392-2019-1-257-12-19 ◽

2020 ◽

pp. 12-19

Author(s):

Georgyi Baranov ◽

Tetyana Danylova

Keyword(s):

Neural Network ◽

Information Technology ◽

Information Technologies ◽

Urban Traffic ◽

Transport Infrastructure ◽

Information Support ◽

Transport Systems ◽

Intelligent Transport Systems ◽

Intelligent Transport ◽

The City

This article is devoted to the process of modeling dynamic systems of city intelligent transport systems (CITS) with the help of information technologies. The proposed means of fundamentally new integrated subsystems CITS, simultaneously covers arrays of heterogeneous data and use modern neural network technologies to provide information support for the management of transport systems. The safety of the ecological state as a result of the influence of urban traffic in the conditions of industrial centers was formalized for information technologies. Descriptions are executed as mathematical models of complex particles of objects of the city intellectual transport network with the use of heterogeneous fragments. Strategies and methods of systematic management are analyzed for solving complex problems of reducing the ecological load of the city. Ontological descriptions in basic model forms that are focused on ensuring the safety and ecology of urban applications to overcome contamination, risks and threats. This direction involves the creation of systems for automated management of transport infrastructure, which at the moment requires the solution of a range of scientific and technical tasks.The built-in neural network models of dependence will effectively solve planning problems with controlling influences on the infrastructure of urban intelligent transport systems, which will improve the characteristics of the traffic flow and reduce the environmental burden on the environment. The analysis of transport infrastructure and the activities of organizations that have a direct influence on it, has allowed us to propose a scheme for the use of heterogeneous information in the information support of the management of environmental safety and the throughput of the street-road network of urban intelligent transport systems. Keywords: information technology, transport system, situational management, risks, models of the situation.

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Smart transport system in Minsk

Science and Innovations ◽

10.29235/1818-9857-2021-6-49-53 ◽

2021 ◽

Vol 6 ◽

pp. 49-53

Author(s):

Valentina Kovrei ◽

◽

Lyudmila Dubeshko

Keyword(s):

Transport System ◽

Information Technologies ◽

Legal Framework ◽

The State ◽

Transport Systems ◽

Intelligent Transport System ◽

Passenger Transport ◽

Intelligent Transport Systems ◽

Intelligent Transport ◽

The Republic

The article deals with the issues of innovative development of passenger transport through the introduction of IT technologies; intelligent transport systems in major cities of the world; the functions of the state in the creation and operation of intelligent transport systems. The article analyzes the legal framework of the Republic of Belarus, the state of information technologies in transport, and the need for their integration. A number of practical steps aimed at creating an intelligent transport system in Minsk are proposed.

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JSC “GLONASS” innovative navigation and information technologies in Uzbekistan

E3S Web of Conferences ◽

10.1051/e3sconf/202128907031 ◽

2021 ◽

Vol 289 ◽

pp. 07031

Author(s):

G B Yusupkhodjaeva

Keyword(s):

Information System ◽

Emergency Response ◽

Information Technologies ◽

Transport Systems ◽

Road Accidents ◽

Intelligent Transport Systems ◽

Intelligent Transport ◽

Automated Information System ◽

The Republic ◽

Effective Use

The article gives recommendations on the effective use of the State Automated Information System for Emergency Response in case of road accidents on the roads of the Republic of Uzbekistan, the introduction and development of the use of intelligent transport systems at transport enterprises of the Republic of Uzbekistan.

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Cooperative Intelligent Transport Systems: Towards high-level automated driving

10.1049/pbtr025e ◽

2019 ◽

Keyword(s):

Transport Systems ◽

Automated Driving ◽

Intelligent Transport Systems ◽

Intelligent Transport ◽

High Level

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

Transport and Communication Science Journal ◽

10.25073/tcsj.70.3.7 ◽

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.

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