A hierarchical line planning approach for a large-scale high speed rail network: The China case

2015 ◽  
Vol 75 ◽  
pp. 61-83 ◽  
Author(s):  
Huiling Fu ◽  
Lei Nie ◽  
Lingyun Meng ◽  
Benjamin R. Sperry ◽  
Zhenhuan He
Keyword(s):  
High Speed ◽  
Large Scale ◽  
High Speed Rail ◽  
Line Planning ◽  
Rail Network ◽  
Planning Approach

scholarly journals A Line Planning Approach for High-Speed Rail Networks with Time-Dependent Demand and Capacity Constraints

2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Huanyin Su ◽  
Wencong Tao ◽  
Xinlei Hu
Keyword(s):  
High Speed ◽  
Simulated Annealing Algorithm ◽  
Capacity Constraints ◽  
Time Dependent ◽  
High Speed Rail ◽  
Line Planning ◽  
Planning Approach ◽  
Upper Level ◽  
Varying Demand ◽  
Dependent Demand

In high-speed rail networks, trains are operated with high speeds and high frequencies, which can satisfy passenger demand with different expected departure times. Given time-dependent demand, this paper proposes a line planning approach with capacity constraints for high-speed rail networks. In this paper, a bilevel optimization model is formulated and the constraints include track section capacity per unit time, train seat capacity, and the gap between the number of starting trains and that of ending trains at a station. In the upper level, the objective is to minimize train operational cost and passenger travel cost, and the decision variables include the line of each train, carriage composition of each train, train stop patterns, train start times, and train arrival and departure times at stops in the line plan. In the lower level, a schedule-based passenger assignment method, which assigns time-varying demand on trains with seat capacity constraints by simulating the ticket-booking process, is used to evaluate the line plan obtained in the upper level. A simulated annealing algorithm is developed to solve the model in which some strategies are designed to search for neighborhood solutions, including reducing train carriages, deleting trains, adding trains, increasing train carriages, and adjusting train start times. Finally, an application to the Chinese high-speed rail network is presented. The numerical results show that (i) the average time deviations between the expected departure times and the actual boarding times of passengers are within 30 min, (ii) the unserved passengers are less than 200, and (iii) the average load factors of trains are about 70%. Hence, line plan solutions meet time-dependent demand well and satisfy the capacity constraints for high-speed rail networks.

scholarly journals Train Stop Scheduling in a High-Speed Rail Network by Utilizing a Two-Stage Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Huiling Fu ◽  
Lei Nie ◽  
Benjamin R. Sperry ◽  
Zhenhuan He
Keyword(s):  
High Speed ◽  
Large Scale ◽  
Programming Model ◽  
Practical Experience ◽  
Mixed Integer ◽  
Two Stage ◽  
High Speed Rail ◽  
Rail Network ◽  
Passenger Traffic ◽  
The One

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.

A real-time control method-based simulation for high-speed trains on large-scale rail network

2017 ◽  
Vol 28 (10) ◽  
pp. 1750126 ◽  
Author(s):  
Yutong Liu ◽  
Chengxuan Cao ◽  
Yaling Zhou ◽  
Ziyan Feng
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
High Speed ◽  
Large Scale ◽  
Simulation Method ◽  
Real Time Control ◽  
Rail Network ◽  
Time Control ◽  
High Speed Trains ◽  
Rail Traffic

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.

scholarly journals Infrastructure costs and benefits of European high-speed rail

2021 ◽  
Vol 1 (2) ◽  
pp. 47-53
Author(s):  
Nedžad Branković ◽  
Aida Kalem
Keyword(s):  
High Speed ◽  
New Technologies ◽  
Operational Parameters ◽  
Negative Effects ◽  
Railway Network ◽  
High Speed Rail ◽  
Rail Network ◽  
High Speed Trains ◽  
Conventional Rail ◽  
Ecologically Sustainable

The development of new technologies has significantly influenced railways modernization and has caused the appearance of high-speed rail which represent a safe, comfortable and ecologically sustainable way of transportation. The high-speed rail present a big step in a relation to conventional railways, where the biggest difference is speed which even entails a change of other organizational and operational parameters, better utilization of trains, higher performance of manpower and better service to users.  That is visible in many cities around the world where high-speed trains are used by billions of users. In the EU there is no unique high-speed railway network, besides that in many EU member countries various operational models are applied. The future of the high-speed railways market depends on political, economical and technical factors and challenges as high infrastructure costs, various rates of return on investment and the negative effects of economic crises. The main objective of the paper is to analyze infrastucture costs of high-speed rail in Europe and benefits such us  time savings, higher reliability, comfort, safety, reducing pollution and the release of capacity in the conventional rail network, roads and airport infrastructure.

Using Large-Scale Programs to Help Develop Technological Capabilities

2021 ◽  
pp. 413-435
Author(s):  
Xudong Gao
Keyword(s):  
Technological Innovation ◽  
High Speed ◽  
Large Scale ◽  
Power Transmission ◽  
Technological Capability ◽  
Capability Development ◽  
High Speed Rail ◽  
Equipment Industry ◽  
The World ◽  
Power Generation Equipment

China is a developing country but has made impressive progress in technological capability development. One strategy proved to be effective is the use of large-scale programs to help technological capability development. Examples include the subway equipment industry, the high-speed rail industry, the power generation equipment industry, the power transmission industry, the telecom equipment industry, etc. In all these sectors, China was lagging behind the technological innovation frontier before the related large-scale programs but is now among the world leaders. In this chapter we will try to understand the process of initiating and managing these large-scale programs.

Sign in / Sign up

Export Citation Format

Share Document