Track Geometry for Light Rail Systems

2010 ◽  
Vol 2146 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Margarita Novales ◽  
Alfonso Orro ◽  
Miguel R. Bugarín
Keyword(s):  
Light Rail ◽  
Track Geometry ◽  
Rail Systems

Application of Artificial Neural Networks in Predicting the Degradation of Tram Tracks Using Maintenance Data

2020 ◽  
pp. 845-864
Author(s):  
Sara Moridpour ◽  
Ehsan Mazloumi ◽  
Reyhaneh Hesami
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Asset Management ◽  
Management Strategies ◽  
Operating Cost ◽  
Light Rail ◽  
Ann Model ◽  
Track Geometry ◽  
Artificial Neural ◽  
And Performance

The increase in number of passengers and tramcars will wear down existing rail structures faster. This is forcing the rail infrastructure asset owners to incorporate asset management strategies to reduce total operating cost of maintenance whilst improving safety and performance. Analysing track geometry defects is critical to plan a proactive maintenance strategy in short and long term. Repairing and maintaining the correctly selected tram tracks can effectively reduce the cost of maintenance operations. The main contribution of this chapter is to explore the factors influencing the degradation of tram tracks (light rail tracks) using existing geometric data, inspection data, load data and repair data. This chapter also presents an Artificial Neural Networks (ANN) model to predict the degradation of tram tracks. Predicting the degradation of tram tracks will assist in understanding the maintenance needs of tram system and reduce the operating costs of the system.

Evaluation of Substation Capacity Using Headway Shift and Perturbation Parameters

2018 ◽  
Author(s):  
Bih-Yuan Ku ◽  
Ching-Hsiang Chang
Keyword(s):  
Maximum Power ◽  
Light Rail ◽  
Case Scenario ◽  
Worst Case ◽  
Rail System ◽  
Rail Systems ◽  
Perturbation Parameters ◽  
Two Parameters ◽  
Operation Schedule ◽  
Traction Power

The variations in the operation timetable or schedule of an electrified transit rail system can lead to substantial fluctuations in power demands of its traction power network. This paper studies the correlation between the maximum power demands and timetable perturbations for electrified transit rail systems. Specifically, the operation schedule uncertainties are quantified as two parameters: headway shift and headway perturbation. A computation algorithm is introduced to illustrate how to use these two parameters to obtain the worst case scenario to obtain maximum power demand of traction power substations. Also a special type of catenary-free light rail system is used as an example to illustrate the algorithm and numerical results.

scholarly journals Private Financing or Not, That is the Question: Lessons from the Light Rail Systems in Spain

2018 ◽  
Vol 4 (4) ◽  
pp. 211-222
Author(s):  
Francisco Calvo-Poyo ◽  
Ramón Ferri-García ◽  
Alberto Hermoso ◽  
Juan de Oña
Keyword(s):  
Light Rail ◽  
Rail Systems ◽  
Private Financing

scholarly journals Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 746 ◽  
Author(s):  
Chengtao Wang ◽  
Wei Li ◽  
Yuqiao Wang ◽  
Shaoyi Xu ◽  
Kunpeng Li
Keyword(s):  
Surface Potential ◽  
Evaluation Model ◽  
Current Source ◽  
Electrochemical Corrosion ◽  
Potential Gradient ◽  
Light Rail ◽  
Buried Pipelines ◽  
Stray Current ◽  
Rail Systems ◽  
Transition Resistance

Electrochemical corrosion caused by stray currents reduces the lifespan of buried gas pipelines and the safety of light rail systems. Determining the scope of stray current corrosion will help prevent the corrosion of existing buried pipelines and provide an effective reference for new pipeline siting. In response to this problem, in this paper the surface potential gradient was used to evaluate the scope of stray current corrosion. First, an analytical model for the scope of the stray current corrosion combined with distributed parameters and the electric field generated by a point current source was put forward. Second, exemplary calculations were conducted based on the proposed model. Sensitivity of the potential gradient was analyzed with an example of the transition resistance, and the dynamic distribution of surface potential gradient under different locomotive operation modes was also analyzed in time-domain. Finally, the scope was evaluated at four different intervals with the parameters from the field test to judge whether the protective measures need to be taken in areas with buried pipelines and light rail systems nearby or not.

Adhesion Considerations in Safe Braking Distance Calculations

2015 ◽  
Author(s):  
David F. Thurston
Keyword(s):  
Light Rail ◽  
Conservative Approach ◽  
Worst Case ◽  
Stopping Distance ◽  
Train Control ◽  
Test Conditions ◽  
Rail Systems ◽  
Braking Distance ◽  
Great Portion

The main objective in optimizing train control is to eliminate the waste associated with the use of “worst case” assumptions to calculate Safe Braking Distances (SBD). Worst case takes the most conservative approach to the determination of train stopping distance in order to provide adequate stopping distance under virtually all conditions. This leads to stopping distances that could be far more than actually required under the circumstances at the time the train is attempting to brake. Several factors are considered in SBD; however one variable that influences a great portion of this distance is adhesion. This paper investigates adhesion to illustrate this influence on SBD and uses empirical data from Light Rail Systems with various test conditions. The interaction of the train control and other vehicle borne systems with SBD calculation will also be investigated including slip/slide control and brake assurance.

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