How to Optimize Train Stops under Diverse Passenger Demand: a New Line Planning Method for Large-Scale High-Speed Rail Networks

2020 ◽  
Vol 20 (4) ◽  
pp. 963-988
Author(s):  
Xin Zhang ◽  
Lei Nie ◽  
Xin Wu ◽  
Yu Ke
Keyword(s):  
High Speed ◽  
Large Scale ◽  
Planning Method ◽  
High Speed Rail ◽  
Line Planning ◽  
Passenger Demand

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

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.

scholarly journals Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jing Zuo ◽  
Jianwu Dang ◽  
Min Lyu
Keyword(s):  
Risk Assessment ◽  
High Speed ◽  
Large Scale ◽  
Cost Allocation ◽  
Optimal Allocation ◽  
High Speed Rail ◽  
Maintenance Costs ◽  
Optimal Cost ◽  
The Impact ◽  
Stochastic Risk

In large-scale high-speed rail networks (HSRNs), the occurrence of occasional malfunctions or accidents is unavoidable. The key issue considered in this study is the optimal allocation of the maintenance costs, based on the stochastic risk assessment for HSRNs. Inspired by the theoretical risk evaluation methods in the complex network, three major factors, including the local effects, global effects, and component self-effects are considered in the process of assessing the impact on the network components (nodes or lines). By introducing the component failure occurrence probability, which is considered to be an exponential function changing with the component maintenance costs, a feasible stochastic risk assessment model of the HSRNs together with the component impact assessment is proposed that can better unify the impact assessment of both the high-speed rail stations and railways. An optimal allocation algorithm based on a Lagrangian relaxation approach is designed. Correspondingly, the optimal cost allocation scheme can be determined using the algorithm to eliminate the various HSRN risks under the given costs. Furthermore, a real-world case study of the HSRNs in eastern China is illustrated. Compared with the genetic algorithm, the simulation shows that the approach can solve the optimal cost allocation problem to more effectively reduce the risks of large-scale HSRNs in practice.

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.

An Energy Saving Train Operation Control Model Based on Time-Space Network Formulation

2013 ◽  
Vol 711 ◽  
pp. 562-565
Author(s):  
Hui Hu
Keyword(s):  
Energy Consumption ◽  
High Speed ◽  
Total Energy Consumption ◽  
Weighting Method ◽  
High Speed Rail ◽  
Space Network ◽  
Passenger Demand ◽  
Time Space ◽  
Train Operation ◽  
Rail Line

From operation management strategy perspective, a multi-objective time-space network optimization model of train energy consumption on a high speed rail line is proposed on the basis of train time table predetermined. The models objectives are to minimize circulation of rail stock and total energy consumption, and decision variables are number of train units in stations, while constraints include node flow conservation, passenger demand and capacity limitation. Finally, a simulation case is provided and solved for comparison and an optimization analysis is carried on via weighting method to illustrate the models feasibility and effectiveness.

High Speed Rail: Review on the Regional Impact and Economy Development

2011 ◽  
Vol 213 ◽  
pp. 107-110 ◽  
Author(s):  
Bin Peng ◽  
Bing Xia ◽  
Zhen Ling Liu
Keyword(s):  
Regional Development ◽  
High Speed ◽  
Large Scale ◽  
Social Effects ◽  
Rail Transit ◽  
Regional Structure ◽  
Regional Trade ◽  
High Speed Rail ◽  
Regional Systems ◽  
Population Dispersion

This impacts of high-speed rail transit, such as the Japanese Shinkansen the first high-speed rail in the world, has been contributed on regional structure or regional systems. The previous study has been mainly centered on many aspects. Does construction of high-speed rail transit in less-developed or remote regions lead to economic activity or population dispersion from developed regions, and thus, lead to the reduced regional disparities? Traditionally, answers to such questions would be obtained through large-scale multi-regional econometric models, which are capable of predicting inter-regional trade. Detailed models are more general in the sense that they can provide richer information in response to various policy variables. The construction of high-speed rail (HSR) is very populous in China. It is no doubt that the HSR will have great impact on the regional development and bring great beneficial economic and social effects. In this paper, the HSR and impact on the regional development is summarized. The first high-speed intercity line from Beijing to Tianjin, which became operational since 2008, has being creating positive impacts on regional economic development and other aspects.

scholarly journals A Passenger Flow Routing Model for High-speed Railway Network in Different Transportation Organization Modes

2018 ◽  
Vol 30 (6) ◽  
pp. 671-682 ◽  
Author(s):  
Ying Wang ◽  
Bao-Ming Han ◽  
Jia-Kang Wang
Keyword(s):  
High Speed ◽  
Large Scale ◽  
Programming Model ◽  
Optimal Algorithm ◽  
Network Efficiency ◽  
Railway Network ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Passenger Demand ◽  
Transportation Organization

Reasonable selection of passenger flow routes consideringdifferent transportation organization modes can meetthe demands of adapting to large-scale high-speed railwaynetworks and improving network efficiency. Passenger flowrouting models are developed to find and optimize a setof passenger flow routes for a high-speed railway network considering different transportation organization modes. In this paper, we presented a new approach minimizing the operating costs, including traveling cost, cost of travel time differences between different lines, and penalties for the inter-line. The network was reconstructed to solve the directed graph with four nodes (node-in-up, node-in-down, nodes-outup, and nodes-out-down) indicating one station. To tackle our problem, we presented an integer non-linear programming model, and direct passenger demand was guaranteed owing to volume constraints. Binary variables were introduced to simplify the model, and the algorithm process was optimized. We suggested a global optimal algorithm by Lingo 11.0. Finally, the model was applied to a sub-network of the Northeast China railway system. Passenger flow routes were optimized and the transportation organization mode was discussed based on passenger volume, traveling distance, and infrastructure.

scholarly journals Method for Forecasting Fluctuation in Railway Passenger Demand for High-speed Rail Services

2018 ◽  
Vol 59 (3) ◽  
pp. 194-200
Author(s):  
Ryosuke MATSUMOTO ◽  
Daiki OKUDA ◽  
Noriko FUKASAWA
Keyword(s):  
High Speed ◽  
High Speed Rail ◽  
B Method ◽  
Passenger Demand ◽  
Railway Passenger ◽  
Rail Services
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