Estimating the Total Delay Times Owing to Disruptions in High-Speed Rail Systems

Author(s):  
Ping Huang
2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Li Wang ◽  
Yong Qin ◽  
Jie Xu ◽  
Limin Jia

A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement. The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.


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

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Huanyin Su ◽  
Feng Shi ◽  
Guangming Xu ◽  
Jin Qin ◽  
Xinghua Shan

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.


Author(s):  
Jieyi Deng ◽  
Guoqing Jing ◽  
Xiang Liu

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.


Author(s):  
Jian Dai ◽  
Kok Keng Ang ◽  
Minh Thi Tran ◽  
Van Hai Luong ◽  
Dongqi Jiang

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.


1974 ◽  
Vol 96 (2) ◽  
pp. 117-127 ◽  
Author(s):  
J. D. Ward

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.


2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Jintang Shi ◽  
Haodong Li

The number of standard electric multiple units (EMUs) in China has increased from 1003 in 2013 to 3256 in 2018. For maintaining all EMUs in time, the high-speed rail system with the fast-developing number of EMUs is facing growing pressure. The maintenance and cleaning capacity of an EMU depot can be improved by a better shunting operation planning (SOP). This paper considers an SOP problem at EMU depots, which may have two types of yards, namely, stub-end and through. Every track at an EMU depot has two sections and can accommodate two short standard EMUs of 8 railcars or one long EMU of 16 railcars. As the SOP is currently handled manually by dispatchers, this paper proposes two integer linear programming models for two types of yards for daily planning and dispatching, which aim at minimizing the total delay time of all EMUs during the planning horizon. A Reduced Variable Neighborhood Search (RVNS) algorithm is designed to improve the solution efficiency. The results of the numerical experiment show that the RVNS algorithm can yield an optimal maintenance plan in a few seconds for depots of different layout types and can be applied to a computer-aided planning system. The track utilization rate of the maintenance yard with the stub-end type is higher than that of the through type. The stub-end type may be more suitable for the current schedule, as its total track utilization rate is much lower than the through type.


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