Benefits Assessment of Large Scale High-Speed Rail Network in China: The Effect on Low-Cost Carriers

2016 ◽  
Author(s):  
Kun Wang ◽  
Wenyi Xia ◽  
Anming Zhang
2020 ◽  
Vol 95 ◽  
pp. 37-46 ◽  
Author(s):  
Min Su ◽  
Weixin Luan ◽  
Xiaowen Fu ◽  
Zaili Yang ◽  
Rui Zhang

2021 ◽  
Vol 118 (3) ◽  
pp. 28-33
Author(s):  
Dayana Bitigova ◽  
Dinar Bekzhanov ◽  
Saule Bekzhanova

Modern high-speed trains in normal operation develop speeds of up to 350-400 km / h, and in tests they can even accelerate to 560-580 km/h. Due to the speed of service and high speed of movement, they seriously compete with other modes of transport, while maintaining such a property of all trains as low cost of transportation with a large volume of passenger traffic. For the first time the regular movement of high-speed trains began in 1964 in Japan under the Shinkansen project. In 1981, VSNT trains began to run in France, and soon most of Western Europe, including even the island of Great Britain, became connected by a single high-speed rail network. At the beginning of the XXI century, China became the world leader in the development of a network of high-speed lines, as well as the operator of the first regular high-speed maglev.In Russia, the regular operation of high-speed trains "Sapsan", on common tracks with conventional trains, began at the end of 2009. Since 2013, the idea of building the first specialized high-speed railway Moscow-Kazan (cargo-passenger) for the national high-speed traffic system has been discussed.Most of the high-speed trains carry passengers, but there are varieties designed for the transport of goods. For example, the French service La Poste has used special TGV electric trains for 30 years, which served to transport mail and parcels (their operation was completed in June 2015 due to the decrease in the volume of mailings in recent years).


2014 ◽  
Vol 33 ◽  
pp. 136-143 ◽  
Author(s):  
Regina R. Clewlow ◽  
Joseph M. Sussman ◽  
Hamsa Balakrishnan

2015 ◽  
Vol 75 ◽  
pp. 61-83 ◽  
Author(s):  
Huiling Fu ◽  
Lei Nie ◽  
Lingyun Meng ◽  
Benjamin R. Sperry ◽  
Zhenhuan He

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Rui Zhang ◽  
Zaili Yang ◽  
Weixin Luan ◽  
Zhihong Jin

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Huiling Fu ◽  
Lei Nie ◽  
Benjamin R. Sperry ◽  
Zhenhuan He

Among the most commonly used methods of scheduling train stops are practical experience and various “one-step” optimal models. These methods face problems of direct transferability and computational complexity when considering a large-scale high-speed rail (HSR) network such as the one in China. This paper introduces a two-stage approach for train stop scheduling with a goal of efficiently organizing passenger traffic into a rational train stop pattern combination while retaining features of regularity, connectivity, and rapidity (RCR). Based on a three-level station classification definition, a mixed integer programming model and a train operating tactics descriptive model along with the computing algorithm are developed and presented for the two stages. A real-world numerical example is presented using the Chinese HSR network as the setting. The performance of the train stop schedule and the applicability of the proposed approach are evaluated from the perspective of maintaining RCR.


2017 ◽  
Vol 28 (10) ◽  
pp. 1750126 ◽  
Author(s):  
Yutong Liu ◽  
Chengxuan Cao ◽  
Yaling Zhou ◽  
Ziyan Feng

In this paper, an improved real-time control model based on the discrete-time method is constructed to control and simulate the movement of high-speed trains on large-scale rail network. The constraints of acceleration and deceleration are introduced in this model, and a more reasonable definition of the minimal headway is also presented. Considering the complicated rail traffic environment in practice, we propose a set of sound operational strategies to excellently control traffic flow on rail network under various conditions. Several simulation experiments with different parameter combinations are conducted to verify the effectiveness of the control simulation method. The experimental results are similar to realistic environment and some characteristics of rail traffic flow are also investigated, especially the impact of stochastic disturbances and the minimal headway on the rail traffic flow on large-scale rail network, which can better assist dispatchers in analysis and decision-making. Meanwhile, experimental results also demonstrate that the proposed control simulation method can be in real-time control of traffic flow for high-speed trains not only on the simple rail line, but also on the complicated large-scale network such as China’s high-speed rail network and serve as a tool of simulating the traffic flow on large-scale rail network to study the characteristics of rail traffic flow.


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