A Bayesian Network Approach for Imbalanced Fault Detection in High Speed Rail Systems

2018 ◽  
Author(s):  
Yan-Fu Li ◽  
Jie Liu
Keyword(s):  
Fault Detection ◽  
Bayesian Network ◽  
High Speed ◽  
Network Approach ◽  
High Speed Rail ◽  
Rail Systems

Recording and Analyzing Carriage Noise of various High-Speed Rail Systems Using Smartphones

2020 ◽  
Vol 48 (1) ◽  
pp. 121-130
Author(s):  
Saurabh Garg ◽  
Kian Meng Lim ◽  
Heow Pueh Lee
Keyword(s):  
High Speed ◽  
High Speed Rail ◽  
Rail Systems

scholarly journals Schedule-Based Passenger Assignment for High-Speed Rail Networks considering the Ticket-Booking Process

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Huanyin Su ◽  
Feng Shi ◽  
Guangming Xu ◽  
Jin Qin ◽  
Xinghua Shan
Keyword(s):  
High Speed ◽  
Continuous Process ◽  
Operating Efficiency ◽  
High Speed Rail ◽  
Rail Network ◽  
Assignment Method ◽  
Rail Systems ◽  
Improvement Measures ◽  
Passenger Assignment ◽  
Partition Interval

This paper proposes a schedule-based passenger assignment method for high-speed rail networks considering the ticket-booking process. Passengers book tickets to reserve seats during the presale period in high-speed rail systems and passengers on trains are determined during the ticket-booking process. The ticket-booking process is modeled as a continuous and deterministic predecision process. A solution algorithm is designed using the discretization of the continuous process by partitioning the ticket-booking time and the optimal paths remain constant in any partition interval. Finally, an application to the Chinese high-speed rail network is presented. A comparison of the numerical results with the reality is conducted to validate the efficiency and precision of the method and algorithm. Based on the results, the operating efficiency of the current train schedule is evaluated and some specific improvement measures are proposed.

Probabilistic Analysis of Flying Ballast on High-Speed Rail Lines

2017 ◽  
Author(s):  
Jieyi Deng ◽  
Guoqing Jing ◽  
Xiang Liu
Keyword(s):  
Risk Factors ◽  
High Speed ◽  
Safety Concern ◽  
Rolling Stock ◽  
Probabilistic Assessment ◽  
High Speed Train ◽  
Modeling Framework ◽  
High Speed Rail ◽  
Rail Systems ◽  
Ballasted Track

Safety is a top priority for the development of worldwide high-speed rail systems. Ballast flying is a particular safety concern when a high-speed train is traveling above a certain speed on the ballasted track. Displaced ballast particles from the track may cause damages to rolling stock, as well as the track infrastructure and wayside structures close to the sides of way. The objective of this research is to develop a probabilistic modeling framework to estimate the probability of ballast flight on specific segments or routes, accounting for several principal risk factors. Based on the probabilistic assessment, we propose a methodology to quantify the probability of flying ballast under certain scenarios. The methodology can be further developed, ultimately enabling a normative risk assessment for flying ballast risk management.

Moving element analysis of discretely supported high-speed rail systems

2017 ◽  
Vol 232 (3) ◽  
pp. 783-797 ◽  
Author(s):  
Jian Dai ◽  
Kok Keng Ang ◽  
Minh Thi Tran ◽  
Van Hai Luong ◽  
Dongqi Jiang
Keyword(s):  
High Speed ◽  
Railway Track ◽  
High Speed Train ◽  
Element Analysis ◽  
High Speed Rail ◽  
Mass System ◽  
Rail System ◽  
Rail Systems ◽  
Track System ◽  
The Difference

In this paper, a computational scheme in conjunction with the moving element method has been proposed to investigate the dynamic response of a high-speed rail system in which the discrete sleepers on the subgrade support the railway track. The track foundation is modeled as a beam supported by uniformly spaced discrete spring-damper units. The high-speed train is modeled as a moving sprung-mass system that travels over the track. The effect of the stiffness of the discrete supports, train speed, and railhead roughness on the dynamic behavior of the train–track system has been investigated. As a comparison, the response of a continuously supported high-speed rail system that uses a foundation stiffness equivalent to that of a discretely supported track has been obtained. The difference in results between the “equivalent” continuously supported and the discretely supported high-speed rails has been compared and discussed. In general, the study found that a high-speed train that travels over a discretely supported track produces more severe vibrations than that travels over a continuously supported track of equivalent foundation stiffness.

The Future Roles for Tracked Levitated Vehicle Systems

1974 ◽  
Vol 96 (2) ◽  
pp. 117-127 ◽  
Author(s):  
J. D. Ward
Keyword(s):  
High Speed ◽  
Operating Costs ◽  
Fixed Costs ◽  
High Speed Rail ◽  
Passenger Rail ◽  
Relative Preference ◽  
Rail Systems ◽  
The Future ◽  
General Preference ◽  
Large Investment

The future roles for tracked levitated vehicle (TLV) systems are identified in the context of comparison with improved passenger rail systems and short haul air systems. These new TLV systems, anticipated to be available for operational use in the 1980’s, will be capable of cruise speeds to about 300 mph, compared to 150–170 mph for high speed rail. The paper concludes that, when developed, TLV will be better than the best rail. Because of its higher speed, travel times will be shorter and operational costs per seat mile will be lower. Higher speed results in lower operating costs because it increases vehicle productivity in terms of seat-miles generated per hour. The relative preference between TLV and air systems depends on both ridership density and trip distance. TLV has much higher fixed costs than air because of the large investment in guideway and other infrastructure, so that TLV requires a larger ridership if fixed costs per passenger are to be reasonable. In operations, however, air systems lose much more time in terminal (airport) stops than TLV systems, which penalizes total trip time and vehicle productivity, especially for short trip distances. Thus air system operating costs are substantially higher than those of TLV systems for short trips. The net result is a general preference for TLV systems when ridership densities are high and trip distances are below 300–400 miles, and a preference for air systems at lower ridership densities or for longer trips. Air is distinctly superior beyond 500 miles.

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