scholarly journals Measuring Acoustic Roughness of a Longitudinal Railhead Profile Using a Multi-Sensor Integration Technique

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1610 ◽  
Author(s):  
Dahae Jeong ◽  
Han Choi ◽  
Yong Choi ◽  
Wootae Jeong
Keyword(s):  
Field Tests ◽  
Transport Systems ◽  
Railway Transport ◽  
Measurement Systems ◽  
Structural Problems ◽  
Displacement Sensors ◽  
Single Sensor ◽  
Rolling Noise ◽  
Measurement Deviation ◽  
Mobile Measurement

It is necessary to measure accurately the rolling noise generated by the friction between wheels and rails in railway transport systems. Although many systems have recently been developed to measure the surface roughness of wheels and rails, there exist large deviations in measurements between each system whose measuring mechanism is based on a single sensor. To correct the structural problems in existing systems, we developed an automatic mobile measurement platform, named the Automatic Rail Checker (ARCer), which measures the acoustic roughness of a longitudinal railhead profile maintaining a constant speed. In addition, a new chord offset synchronization algorithm has been developed. This uses three displacement sensors to improve the measuring accuracy of the acoustic roughness of a longitudinal railhead profile, thereby minimizing the limitations of mobile platform measurement systems and measurement deviation. We then verified the accuracy of the measurement system and the algorithm through field tests on rails with different surface wear conditions.

scholarly journals Acoustic Roughness Measurement of Railhead Surface Using an Optimal Sensor Batch Algorithm

2020 ◽  
Vol 10 (6) ◽  
pp. 2110 ◽  
Author(s):  
Wootae Jeong ◽  
Dahae Jeong
Keyword(s):  
Surface Roughness ◽  
Displacement Sensors ◽  
Measure Surface Roughness ◽  
High Measurement ◽  
Train Operation ◽  
Measurement Algorithm ◽  
Rolling Noise ◽  
Conventional Systems ◽  
Measurement Deviation ◽  
Mobile Measurement

Contact and friction between wheel and rail during train operation is the main cause of the rolling noise for which railways are known. Therefore, it is necessary to accurately measure the surface roughness of wheels and rails to monitor railway noise and predict noise around tracks. Conventional systems developed to measure surface roughness have large deviations in measured values or low repeatability. The recently developed automatic mobile measurement platform known as Auto Rail Checker (ARCer) uses three displacement sensors to reduce measurement deviation and increase the accuracy of existing systems. This paper proposes enhancing the chord offset synchronization algorithm applied to the existing ARCer for high measurement precision with only two displacement sensors. As a result, when the two sensor-based measurement algorithm was applied, the spectrum level at λ = 0.314 m, the wavelength amplification associated with wheel diameter, was reduced to at least 6 dB in comparison with that of the three sensors based algorithm. We also verified the accuracy of the proposed batch algorithm through a field test on an operating rail track with a corrugated rail surface.

scholarly journals A Methodological Framework for the Comparative Analysis of the Environmental Performance of Roadway and Railway Transport

2018 ◽  
Vol 30 (6) ◽  
pp. 721-731 ◽  
Author(s):  
Diamanto Mintzia ◽  
Fotini Kehagia ◽  
Anastasios Tsakalidis ◽  
Efthimios Zervas
Keyword(s):  
Comparative Analysis ◽  
Environmental Performance ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Transport Systems ◽  
Low Carbon ◽  
Sustainable Transport ◽  
Railway Transport ◽  
Railway Line ◽  
Carbon Transport

Low-carbon transport is a priority in addressing climate change. Transport is still almost totally dependent on fossil fuels (96%) and accounts for almost 60% of global oil use. Sustainable transport systems, both passenger and freight, should be economically and technically feasible, but also low-carbon and environmentally friendly. The calculation of greenhouse gas emissions in transport projects is becoming a primary target of transport companies as a part of an endeavor for low-carbon strategies to reduce the energy demand and environmental impact. This paper investigates the CO2 impact of construction and operation of the main highway and railway line infrastructure in Greece, which connects Athens and Thessaloniki, the capital and the second biggest city in Greece respectively and provides a comparative analysis in roadway and railway transport.

Ground-based Mobile Measurement Systems

2021 ◽  
pp. 1367-1383
Author(s):  
Eberhard Parlow ◽  
Thomas Foken
Keyword(s):  
Measurement Systems ◽  
Mobile Measurement

scholarly journals Modeling and Robustness Study of Railway Transport Networks Using P-Timed Petri Nets

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Anis Mhalla ◽  
Mohanned Gaied
Keyword(s):  
Petri Nets ◽  
Traffic Management ◽  
Control Strategies ◽  
Discrete Event ◽  
Transport Systems ◽  
Population Mobility ◽  
Railway Transport ◽  
Transport Networks ◽  
Modeling And Analysis ◽  
Increasing Demand

The importance of public transport systems continues to grow. These systems must respond to an increasing demand for population mobility and traffic disturbances. Rail transport networks can be considered as Discrete Event Systems (DES) with time constraints. The time factor is a critical parameter, since it includes dates to be respected in order to avoid overlaps, delays, and collisions between trains. P-time Petri Nets have been recognized as powerful modeling and analysis tools for railway transport systems. Temporal disturbances in these systems include railway infrastructure, traffic management, and disturbances (weather, obstacles on the tracks, malice, social movement, etc.). The developments presented in this paper are devoted to the modeling and the study of the robustness of the railway transport systems in order to evaluate the stability and the efficiency of these networks. In this study two robust control strategies towards time disturbances are presented. The first one consists of compensating the disturbance as soon as it is observed in order to avoid constraints violation. The second one allows generating, by the control, a temporal lag identical to the disturbance in order to avoid the death of marks on the levels of synchronization transitions of the P-time Petri net model.

Design of an Intelligent Remote Monitoring and Control of Bangladesh Railway Transport System Using Information and Communication Technologies (ICTs)

2008 ◽  
Author(s):  
Md. Abdullah Al Harun Khan Chowdhury
Keyword(s):  
Information And Communication Technologies ◽  
Transport System ◽  
Asset Management ◽  
Communication Technologies ◽  
Transport Systems ◽  
Railway Transport ◽  
Sensors And Actuators ◽  
Efficient Operation ◽  
Information And Communication ◽  
And Control

In Bangladesh, transport sectors are developing rapidly to meet the increasing demand for transporting passengers and freight inside and outside the country. But there is not such development in railway transport system. The Bangladesh Railway transport system is still using an old technology to monitor and control signalling, scheduling, operations etc. This paper describes various problems in the existing systems and also solutions have been provided considering the existing railway transport systems of Bangladesh. A new system has been developed to control and monitor the total railway transport system from remote locations. While designing the system, various sensors and actuators have been introduced and also Information and Communication Technologies (ICTs) have been applied in the field of railway transport. So a Machatronics aspect of system has been designed to ensure a collision free, safe and efficient operation and management of railway transport system. This system is not only for monitoring and controlling of railway transport but also ensures efficient asset management. As a result face-to-face accidents, cross-road accidents and accidents due to railway line displacements or breakage can be avoided and there will be no loss of assets and valuable human lives.

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.

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