scholarly journals Application of intelligent systems in transport

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.

scholarly journals Modeling of intelligent transport systems maintenance processes

2021 ◽  
Vol 2061 (1) ◽  
pp. 012126
Author(s):  
K Goloskokov ◽  
V Korotkov ◽  
V Marley ◽  
T Knysh
Keyword(s):  
Intelligent Systems ◽  
System Approach ◽  
Information Technologies ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Maintenance System ◽  
Mode Of Operation ◽  
Technical Maintenance ◽  
Systems Maintenance

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.

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

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.

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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