scholarly journals Optimization of Multiperiod Mixed Train Schedule on High-Speed Railway

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Wenliang Zhou ◽  
Junli Tian ◽  
Jin Qin ◽  
Lianbo Deng ◽  
TangJian Wei
Keyword(s):  
Time Distribution ◽  
High Speed ◽  
Periodic Operation ◽  
High Speed Railway ◽  
Arrival Times ◽  
Travel Costs ◽  
Proposed Model ◽  
Different Types ◽  
Iteration Number ◽  
Objective Value

For providing passengers with periodic operation trains and making trains’ time distribution better fit that of passengers, the multiperiod mixed train schedule is first proposed in this paper. It makes each type of train having same origin, destination, route, and stop stations operate based on a periodic basis and allows different types of train to have various operation periods. Then a model of optimizing multiperiod mixed train schedule is built to minimize passengers generalized travel costs with the constraints of trains of same type operating periodically, safe interval requirements of trains’ departure, and arrival times, and so forth. And its heuristic algorithm is designed to optimize the multiperiod mixed train schedule beginning with generating an initial solution by scheduling all types of train type by type and then repeatedly improving their periodic schedules until the objective value cannot be reduced or the iteration number reaches its maximum. Finally, example results illustrate that the proposed model and algorithm can effectively gain a better multiperiod mixed train schedule. However, its passengers deferred times and advanced times are a little higher than these of an aperiodic train schedule.

scholarly journals Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4648
Author(s):  
Zhipeng Tang ◽  
Ziao Mei ◽  
Jialing Zou
Keyword(s):  
High Speed ◽  
National Average ◽  
Carbon Intensity ◽  
Time Varying ◽  
Low Carbon ◽  
High Speed Railway ◽  
Different Types ◽  
Endogenous Selection ◽  
Mode Of Development ◽  
The Impact

The carbon intensity of China’s resource-based cities (RBCs) is much higher than the national average due to their relatively intensive mode of development. Low carbon transformation of RBCs is an important way to achieve the goal of reaching the carbon emissions peak in 2030. Based on the panel data from 116 RBCs in China from 2003 to 2018, this study takes the opening of high-speed railway (HSR) lines as a quasi-experiment, using a time-varying difference-in-difference (DID) model to empirically evaluate the impact of an HSR line on reducing the carbon intensity of RBCs. The results show that the opening of an HSR line can reduce the carbon intensity of RBCs, and this was still true after considering the possibility of problems with endogenous selection bias and after applying the relevant robustness tests. The opening of an HSR line is found to have a significant reducing effect on the carbon intensity of different types of RBC, and the decline in the carbon intensity of coal-based cities is found to be the greatest. Promoting migration of RBCs with HSR lines is found to be an effective intermediary way of reducing their carbon intensity.

Research of resource-saving potential of high-speed railway lines and railway automation and telemechanics systems

Innotrans ◽  
2021 ◽  
pp. 3-7
Author(s):  
Nakip Z. Sabirov ◽  
◽  
Shamil K. Valiev ◽  
Keyword(s):  
High Speed ◽  
Energy Costs ◽  
Railway Transport ◽  
Labor Costs ◽  
Resource Saving ◽  
High Speed Railway ◽  
Resource Management System ◽  
Different Types ◽  
Labor Resources ◽  
Definition Of

The article deals with the issues of resource saving on railways. Approaches to the definition of the essence of resource saving are highlighted. The influence of high-speed railway lines on the change in the structure of labor resources is revealed. The tasks of improving the resource management system and specific resources on railway transport are defined. Special attention is paid to railway automation and telemechanics systems, which will significantly reduce the labor costs of the HSR. The specific energy costs for different types of transport and per passenger-kilometer are given.

scholarly journals A Discrete-Space Train Movement Model for a High-Speed Train under Temporary Speed Restriction

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Sihui Long ◽  
Lingyun Meng ◽  
Yihui Wang ◽  
Jianrui Miao ◽  
Xuan Li
Keyword(s):  
High Speed ◽  
Discrete Space ◽  
High Speed Train ◽  
Time Duration ◽  
Movement Model ◽  
High Speed Railway ◽  
Running Time ◽  
Proposed Model ◽  
The Impact ◽  
Block Section

This paper constructs a discrete-space train movement model to evaluate the impact of a temporary speed restriction (TSR) for a high-speed railway train. The established model can demonstrate train movement under different TSR conditions. The proposed model can reveal whether a train is affected by the block section influenced by the TSR within a time duration. Moreover, the model can output detailed train trajectories and the minimal train running time between two adjacent stations to analyse the impact of the TSR. Based on the experimental results, we carry out a comprehensive analysis of the impact of several factors on the running time and train trajectories, including the length of the affected area (i.e., number of affected block sections), the location of the TSR, the limited speed value, and the stopping patterns of the train at two adjacent stations. The experiments show that the proposed discrete-space train movement model can be used to analyse the impact of the TSR on a high-speed railway train under various considered TSR conditions.

scholarly journals Track Allocation Optimization in Multi-Direction High-Speed Railway Stations

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 459 ◽  
Author(s):  
Qin Zhang ◽  
Xiaoning Zhu ◽  
Li Wang
Keyword(s):  
High Speed ◽  
Occupation Time ◽  
Rolling Stock ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Railway Stations ◽  
Proposed Model ◽  
Flexible Track ◽  
Integer Linear Model ◽  
Commercial Solver

Track allocation optimization in railway stations is one of the most fundamental problems for scheduling trains, especially in multi-direction high-speed railway stations. With the construction of high-speed rail networks, this kind of station has become increasingly common. However, the track allocation depends not only on the station tracks, train timetable, and rolling stock plan, but also on the resources in the station throat area. As a result, an effective track allocation plan becomes significant but also difficult. In this paper, we consider all these factors to make the results more practicable and an integer linear model that minimizes the total occupation time of resources in the throat area is presented. A flexible track utilization rule is also adopted to this model to fit the characteristics of the multi-direction station. Meanwhile, a detailed explanation of resources’ occupation time is illustrated to facilitate the representation of the conflicting constraints. To resolve these issues, we use a commercial solver with its default parameters. A computational experiment of a station is conducted to verify the effectiveness of the proposed model. The resources utilization plan indicates that the capacity of a station is limited by the throat area, rather than by the station tracks.

scholarly journals Passenger-to-Car Assignment Optimization Model for High-Speed Railway with Risk of COVID-19 Transmission Consideration

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jiaqi Zeng ◽  
Dianhai Wang ◽  
Guozheng Zhang ◽  
Yi Yu ◽  
Zhengyi Cai
Keyword(s):  
Disease Transmission ◽  
High Speed ◽  
Infection Risk ◽  
Low Flow ◽  
Base Case ◽  
High Speed Railway ◽  
Contagious Diseases ◽  
Proposed Model ◽  
Integer Quadratic Programming ◽  
Risk Areas

Narrow and closed spaces like high-speed train cabins are at great risk for airborne infectious disease transmission. With the threat of COVID-19 as well as other potential contagious diseases, it is necessary to protect passengers from infection. Except for the traditional preventions such as increasing ventilation or wearing masks, this paper proposes a novel measurement that optimizes passenger-to-car assignment schemes to reduce the infection risk for high-speed railway passengers. First, we estimated the probability of an infected person boarding the train at any station. Once infectors occur, the non-steady-state Wells–Riley equation is used to model the airborne transmission intercar cabin. The expected number of susceptible passengers infected on the train can be calculated, which is the so-called overall infection risk. The model to minimize overall infection risk, as a pure integer quadratic programming problem, is solved by LINGO software and tested on several scenarios compared with the classical sequential and discrete assignment strategies used in China. The results show that the proposed model can reduce 67.6% and 56.8% of the infection risk in the base case compared to the sequential and discrete assignment, respectively. In other scenarios, the reduction lies mostly between 10% and 90%. The optimized assignment scheme suggests that the cotravel itinerary among passengers from high-risk and low-risk areas should be reduced, as well as passengers with long- and short-distance trips. Sensitivity analysis shows that our model works better when the incidence is higher at downstream or low-flow stations. Increasing the number of cars and car service capacity can also improve the optimization effect. Moreover, the model is applicable to other epidemics since it is insensitive to the Wells–Riley equation parameters. The results can provide a guideline for railway operators during the post-COVID-19 and other epidemic periods.

scholarly journals An Alternative Approach for High Speed Railway Carrying Capacity Calculation Based on Multiagent Simulation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Mo Gao ◽  
Leishan Zhou ◽  
Yongjun Chen
Keyword(s):  
Carrying Capacity ◽  
High Speed ◽  
Mixed Integer ◽  
Integer Programming Problem ◽  
Railway Network ◽  
High Speed Railway ◽  
Operating Process ◽  
Proposed Model ◽  
Train Operation ◽  
Capacity Calculation

It is a multiobjective mixed integer programming problem that calculates the carrying capacity of high speed railway based on mathematical programming method. The model is complex and difficult to solve, and it is difficult to comprehensively consider the various influencing factors on the train operation. The multiagent theory is employed to calculate high speed railway carrying capacity. In accordance with real operations of high speed railway, a three-layer agent model is developed to simulate the operating process of high speed railway. In the proposed model, railway network agent, line agent, station agent, and train agent are designed, respectively. To validate the proposed model, a case study is performed for Beijing–Shanghai high speed railway by using NetLogo software. The results are consistent with the actual data, which implies that the proposed multiagent method is feasible to calculate the carrying capacity of high speed railway.

scholarly journals A COMPARATIVE EARTHWORK AND COST ANALYSIS OF IMPROVING AN EXISTING RAILWAY LINE AND CONSTRUCTING A NEW HIGH-SPEED LINE IN TURKEY

2016 ◽  
Vol XLII-2/W1 ◽  
pp. 13-18
Author(s):  
K. A. Gumus ◽  
V. E. Gulal
Keyword(s):  
Cost Analysis ◽  
High Speed ◽  
Track Length ◽  
Engineering Structures ◽  
High Speed Railway ◽  
Total Cost ◽  
Railway Line ◽  
The Past ◽  
Ongoing Work ◽  
Different Types

In the past few decades, high-speed railways have become an important transportation system due to their high operational speed, and globally, the networks of these railways have been extended. In addition, there is ongoing work on the construction of new high-speed railways as well as improving existing lines to achieve the same operational speed. To contribute to high-speed railway works in Turkey, this study compared two high-speed railway lines; an existing conventional line, the design of which was improved, and a new high-speed line. The design of an existing conventional railway line was improved according to optimal geometric characteristics of high-speed railways and an alternative line was simulated. These two lines were evaluated on three different types of land in terms of the required volume of earthworks, engineering structures and total cost. The results show that the length of the conventional line was reduced after the improvement process; however, new engineering structures are needed. Furthermore, compared to the alternative line, the track length and total length of engineering structures required for the improvement of the existing line was shorter and the volume of required earthworks was less resulting in lower costs.

scholarly journals Comparative Analysis of Design Parameters for High-Speed Railway Earthworks in Different Countries and a Unified Definition of Embankment Substructure

2020 ◽  
Vol 15 (2) ◽  
pp. 127-144
Author(s):  
Jianbo Fei ◽  
Yuxin Jie ◽  
Chengyu Hong ◽  
Changsuo Yang
Keyword(s):  
High Speed ◽  
Design Parameters ◽  
Functional Layer ◽  
High Speed Railway ◽  
Design Specifications ◽  
Design Service Life ◽  
The World ◽  
Different Types ◽  
Protection Layer ◽  
Definition Of

This paper compares design specifications and parameters for high-speed railway (HSR) earthworks in different countries (i.e., China, France, Germany, Japan, Russia, Spain and Sweden) for different track types (i.e., ballasted and ballastless), and for different design aspects (i.e., HSR embankment substructure, compaction criteria, width of the substructure surface, settlement control, transition section, and design service life). Explanations for differences in HSR implementation among different countries are provided and reference values of the design parameters are obtained. In an attempt to unify different types of HSR substructures around the world, a widely applicable definition of the stratified embankment substructure based on the practices adopted in different countries is proposed. The functions and requirements of each functional layer (i.e., the blanket layer, frost protection layer and filtering layer) are summarized.

scholarly journals A Multiobjective Integer Linear Programming Model for the Cross-Track Line Planning Problem in the Chinese High-Speed Railway Network

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 670 ◽  
Author(s):  
Peiwen Han ◽  
Lei Nie ◽  
Huiling Fu ◽  
Yantao Gong ◽  
Gang Wang
Keyword(s):  
High Speed ◽  
Programming Model ◽  
Discrete Optimization Problem ◽  
Periodic Operation ◽  
Line Planning ◽  
High Speed Railway ◽  
Passenger Transportation ◽  
High Speed Trains ◽  
Cross Track ◽  
Track Line

In China, cross-track high-speed trains (CTHSTs) play an important role in railway passenger transportation, with an increasing number of cross-track passengers sourced from the expansion of high-speed railway (HSR) network. The CTHST generally has long travel times, so running CTHSTs is not beneficial for train rescheduling work and plan’s periodicity in the periodic operation context. Thus, the main challenge in cross-track line planning is looking for a symmetry point between passenger transportation and disadvantages of running CTHSTs, which are two conflicting aspects. In this study, we developed a multiobjective integer programming model to produce a balanced cross-track line plan by combining individual-track high-speed trains (ITHSTs) into CTHSTs, which is a discrete optimization problem. This strikes a balance among four goals: the periodicity of the line plan, CTHST quantity, CTHST mileage, and CTHST stops in the context of periodic operation, while satisfying the constraints of passenger demand and the number of available ITHSTs. Numerical experiments are conducted based on a real-world network and optimal solutions were quickly obtained. We analyzed impacts of each goal and parameter on the result and influencing factors of computation. Comparisons with existing methods and real-life plans were also presented to show improvements made by proposed model.

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