scholarly journals Comprehensive Evaluation of Operating Speeds for High-Speed Railway: A Case Study of China High-Speed Railway

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jiamin Zhang ◽  
Jiarui Zhang

This paper proposes the indicator systems and integrated desirability framework for comprehensive evaluation towards the operating speeds of high-speed railway (HSR). Speed is a crucial piece in the characterization of the HSR system. The debate about what is the most appropriate operating speed continues. The established indicator systems and integrated desirability framework can comprehensively evaluate the HSR operating speeds from stand points of the economic efficiency, operational efficiency, track capacity, operational security, and environment impact. Moreover, the integrated desirability framework, which is a combination of entropy-analytical hierarchy procedure (EAHP) and technique for order preference by similarity to ideal solution (TOPSIS), can output some references for selecting the most suitable speed regimes of HSR. The application of the desirability framework to the case of China high-speed railway (CHSR) is demonstrated concretely. Based on the case study of CHSR, the comprehensive analysis of the effectiveness of the indicator systems on HSR operating speeds is carried out. The case study shows that the proposed indicator systems and integrated desirability framework can be used to evaluate comprehensively the HSR operating speeds under various conditions.

2014 ◽  
Vol 1051 ◽  
pp. 518-522
Author(s):  
Xiao Chen Duan ◽  
Jing Sun ◽  
Yi Gang Liang ◽  
Jing Na Cui ◽  
Zhao Yu Wang

Combined with the characteristics of the high-speed railway regional environment system, the paper establishes a cumulative environment impact assessment model with the system dynamics in the high-speed railway regional, which is divided into three subsystems: economic, environment and pollution subsystems. Each subsystem is refined into a number of state indexes. The feedback relationships is set up between each state index and various subsystems, based on the Matrix method, Delphi, Analytic Hierarchy Process and environmental carrying capacity to establish comprehensive evaluation model of the cumulative environment impact assessment in the high-speed railway region. Finally the Chang-Yi high-speed railway is taken as an example.This paper is of the important theory and practice significance to promote the cumulative impact assessment level and social environment benefit of the high-speed railway regions.


Author(s):  
Minling Feng ◽  
Chaoxian Wu ◽  
Shaofeng Lu ◽  
Yihui Wang

Automatic train operation (ATO) systems are fast becoming one of the key components of the intelligent high-speed railway (HSR). Designing an effective optimal speed trajectory for ATO is critical to guide the high-speed train (HST) to operate with high service quality in a more energy-efficient way. In many advanced HSR systems, the traction/braking systems would provide multiple notches to satisfy the traction/braking demands. This paper modelled the applied force as a controlled variable based on the selection of notch to realise a notch-based train speed trajectory optimisation model to be solved by mixed integer linear programming (MILP). A notch selection model with flexible vertical relaxation was proposed to allow the traction/braking efforts to change dynamically along with the selected notch by introducing a series of binary variables. Two case studies were proposed in this paper where Case study 1 was conducted to investigate the impact of the dynamic notch selection on train operations, and the optimal result indicates that the applied force can be flexibly adjusted corresponding to different notches following a similar operation sequence determined by optimal train control theory. Moreover, in addition to the maximum traction/braking notches and coasting, medium notches with appropriate vertical relaxation would be applied in accordance with the specific traction/braking demands to make the model feasible. In Case study 2, a comprehensive numerical example with the parameters of CRH380AL HST demonstrates the robustness of the model to deal with the varying speed limit and gradient in a real-world scenario. The notch-based model is able to obtain a more realistic optimal strategy containing dynamic notch selection and speed trajectory with an increase (1.622%) in energy consumption by comparing the results of the proposed model and the non-notch model.


2014 ◽  
Vol 505-506 ◽  
pp. 43-48
Author(s):  
Zhong Yang Lv ◽  
Kang Ning Zheng

In this paper, in order to improve the high speed railway sustainable competitive advantage as the research objective, systematic analysis of the high-speed railway to obtain sustainable competitive advantage evaluation index, including high-speed railway traffic function advantage, competitive advantage, advantage of positive externality, the Delphi method is used to scientific empowerment of these factors, by constructing fuzzy comprehensive evaluation model, the research conclusion is highway and air passenger is higher than that in high speed railway of competitive advantage


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Bin Guo ◽  
Leishan Zhou ◽  
Yixiang Yue ◽  
Jinjin Tang

Methods for solving the carrying capacity problem for High-Speed Railways (HSRs) have received increasing attention in the literature in the last few years. As important nodes in the High-Speed Railway (HSR) network, large stations are usually the carrying capacity bottlenecks of the entire network due to the presence of multiple connections in different directions and the complexity of train operations at these stations. This paper focuses on solving the station carrying capacity problem and considers train set utilization constraints, which are important influencing factors that have rarely been studied by previous researchers. An integer linear programming model is built, and the CPLEX v12.2 software is used to solve the model. The proposed approach is tested on a real-world case study of the Beijing South Railway Station (BS), which is one of the busiest and most complex stations in China. Studies of the impacts of different train set utilization constraints on the practical station carrying capacity are carried out, and some suggestions are then presented for enhancing the practical carrying capacity. Contrast tests indicate that both the efficiency of the solving process and the quality of the solution show huge breakthroughs compared with the heuristic approach.


2021 ◽  
pp. 101128
Author(s):  
Mengjie Jin ◽  
Wenming Shi ◽  
Yu Liu ◽  
Xiaoling Xu ◽  
Kevin X. Li

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