scholarly journals A line planning approach based on harmony search for high-speed rail: From the perspective of service accessibility

2021 ◽  
Vol 40 (1) ◽  
pp. 1509-1519
Author(s):  
Zekun Song ◽  
Haodong Li ◽  
Jintang Shi
Keyword(s):  
High Speed ◽  
Search Algorithm ◽  
Harmony Search ◽  
Planning Theory ◽  
Medium Size ◽  
Line Planning ◽  
High Speed Railway ◽  
Service Accessibility ◽  
Service Frequency ◽  
Single Objective

Service accessibility can be used to describe the travel time of passengers between different nodes, and opportunities to get transportation services in the high-speed railway (HSR) system. Based on the traditional train line planning theory, this paper introduces the transportation service accessibility index, and propose a new nonlinear passenger train line planning model, which aims to maximize the service accessibility, as well as minimize the operational cost of railway company. The model is transformed into a single-objective model, and then we design a harmony search algorithm to solve it. Finally, the model is validated by a numerical example. The results of this model as well as the scenarios of the single-objective models for minimizing operational costs and maximizing service accessibility are compared. From the perspective of service frequency and accessibility of each nodes, we know that the proposed method can balance conflicts between average speed between large nodes and service frequency of small and medium size nodes in high-speed railway network.

scholarly journals A Stop-Probability Approach for O-D Service Frequency on High-Speed Railway Lines

2019 ◽  
Vol 11 (24) ◽  
pp. 6996
Author(s):  
Shuo Zhao ◽  
Xiwei Mi ◽  
Zhenyi Li
Keyword(s):  
High Speed ◽  
Travel Demand ◽  
Mathematical Formulation ◽  
Real Life ◽  
Point Of View ◽  
High Speed Railway ◽  
Passenger Travel ◽  
Optimal Service ◽  
Service Frequency ◽  
Railway Operation

Train stop planning provides appropriate service for travel demand and stations and plays a significant role in railway operation. This paper formulates stop planning from the point of view of direct travel between origin-destination (O-D) stations and proposes an analytical method to theoretically derive optimal service frequencies for O-D demand on different levels. Considering different O-D demand characteristics and train service types, we introduce the concept of stop probability to present the mathematical formulation for stop planning with the objective of minimizing per capita travel time, which is solved by an iterative algorithm combined with local search. The resulting optimal stop probabilities can be used to calculate the required service frequency for each train type serving different demand categories. Numerical examples, based on three real-life high-speed railway lines, demonstrate the validity of the proposed method. The proposed approach provides a more flexible and practical way for stop planning that explicitly takes into account the importance of different stations and passenger travel characteristics.

scholarly journals Method for Determining the Valid Travel Route of Railways Based on Generalised Cost under the Syncretic Railway Network

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhiqiang Tian ◽  
Guofeng Sun ◽  
Dingjun Chen ◽  
Zhicheng Qiu ◽  
Yawen Ma
Keyword(s):  
High Speed ◽  
Search Algorithm ◽  
Cost Calculation ◽  
Railway Network ◽  
Line Planning ◽  
Integrated Network ◽  
Railway Line ◽  
Passenger Travel ◽  
Normal Speed ◽  
Generalised Cost

Travel route options for passengers can provide data support for railway line planning, passenger flow organisation, and train operation establishment. A critical review of the literature indicates that previous studies mainly focused on choices offered by a single railway network path without much consideration of China’s normal-speed and high-speed integrated railway network and the effect of train timetable on passengers’ travel choice. In this study, a method based on generalised cost is proposed to discover the valid routes of passenger travel in the integrated network of China’s normal-speed and high-speed railways. After quantifying the effects of train fare, travel time, transfer, travel convenience, comfort, and other factors on the generalised expenses of passengers, this study presents a generalised cost determination method when individuals select an option from different seats of different trains of specific railway transport products. Theoretically, the valid routes considering the train schedule is defined, and a valid route search algorithm is designed using the deep traversal idea in a new valid route searching network. Considering the Lanzhou-Beijing passenger travel routes as an example, this study verifies the practicability of the generalised cost calculation method, as well as that of the valid routes search method.

Key Issues on Train Line Planning for Beijing-Shanghai High Speed Railway

2010 ◽  
Author(s):  
L. Nie ◽  
D. B. Fei ◽  
S. D. Zhou ◽  
H. L. Fu ◽  
L. Tong
Keyword(s):  
High Frequency ◽  
High Speed ◽  
Travel Demand ◽  
Time Window ◽  
Long Distance ◽  
Line Planning ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Train Operation ◽  
Service Plan

The Beijing-Shanghai High speed railway line (Hereinafter referred to as “Jing-Hu HSL”) is one of the most important railway lines in the Chinese rapid passenger transportation network and will be put into operation at the end of 2011. Train line planning directly reflects the quality and competition ability of train services. The characteristics of operational conditions and passenger flow of this corridor HSL bring about a few new issues on train line planning like night train operation, train OD sets, cyclic operation, and train stop schedule. For the first issue, a large amount of long distance travel demand put forward the demand for night services, which causes great conflict with the time-window for maintenance work. The confliction can be solved by harmoniously utilizing the parallel lines. For the second one, in view of the differences of technical and economic factors between HSL and conventional railways, high frequency and medium-long distance train will dominate HSL’s train service plan rather than low frequency and long distance trains on conventional railways. Thus, part of long-distance passenger flow has to transfer at some stations. Considering the whole possible ODs over Jing-Hu HSL and the transfer condition of related stations, the optimal OD sets and corresponding transfer plan is suggested. High frequency makes HSL possible to operate trains cyclically to improve service quality. However, with too many train ODs and some special trains, e.g. night train, an incomplete cyclic train operation mode is more practical. The ODs which can provide cyclic service for Jing-Hu HSL need to be identified. For the last issue, although non-stop long-distance train is a very popular kind of service in China, it should be reconsidered for Jing-Hu HSL line because of massive intercity travel demand and regular stops required. Each of the above issues is very complex. What is more, they have close relationship between each other. Due to limited space, the methods used to solve these issues are given in conceptual way rather than detailed description of mathematical model. The research paves the way for future integration study to design an efficient, economic, convenient, and regular train service plan for Jing-Hu HSL.

A two-layer optimization model for high-speed railway line planning

2011 ◽  
Vol 12 (12) ◽  
pp. 902-912 ◽  
Author(s):  
Li Wang ◽  
Li-min Jia ◽  
Yong Qin ◽  
Jie Xu ◽  
Wen-ting Mo
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Line Planning ◽  
High Speed Railway ◽  
Railway Line

scholarly journals Optimization of High-Speed Railway Line Planning Considering Extra-Long Distance Transportation

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ying Wang ◽  
Qi-Yuan Peng ◽  
Ling Liu ◽  
Jia-Kang Wang
Keyword(s):  
High Speed ◽  
Direct Method ◽  
Long Distance ◽  
Line Planning ◽  
High Speed Railway ◽  
Railway Line ◽  
Market Competitiveness ◽  
Network Operation ◽  
Transfer Method ◽  
Optimizing Model

Network line planning optimal considering extra-long distance transportation can adapt to high-speed railway (HSR) network operation environment and meet the demand of extra-long distance travel. First, the distance of 1500 km or more is defined as extra-long transportation distance based on market competitiveness. The difficulties of direct or transfer transportation for extra-long distance transportation are analyzed. Direct method of extra-long distance is determined according to direct passenger volume and the number of important nodes while transfer method is represented considering transfer times, organization forms, varieties of schemes, and comfort. Then, ideas of optimizing line plan based on riding scheme is put forward. Network optimizing line plan model with riding scheme is developed considering extra-long distance transportation. The model which minimizes traveling cost and train running expense optimizes train frequency and train stop plan with riding scheme. Last, the method and optimizing model is verified by the network which took Baoji–Lanzhou HSR as the core. The optimal result is a benefit to improve operation efficiency and market competitiveness of HSR.

scholarly journals Application of HS-LMBP Hybrid Neural Network Algorithm in Image Denoising

2018 ◽  
Vol 173 ◽  
pp. 03056
Author(s):  
Hai jun Wang ◽  
Menke Neimule ◽  
Jin Tao
Keyword(s):  
Neural Network ◽  
Image Denoising ◽  
High Speed ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Hybrid Neural Network ◽  
Existing Problems ◽  
Network Algorithm ◽  
Neural Network Algorithm

In order to overcome the problems such as poor global search ability, slow convergence rate, and easy to fall into local minimum values in the image denoising process of traditional BP neural networks, the HS-LMBP hybrid neural network image denoising algorithm is proposed which combines the harmony search algorithm and the LMBP algorithm. The HS-LMBP hybrid neural network algorithm combines the high speed of the LMBP algorithm and the global nature of the HS algorithm, which can be a good improvement to the existing problems of the BP algorithm model. Compared with the Wiener filtering, BP, LMBP and PSO-LMBP model image denoising effects, the denoising model using HS-LMBP neural network algorithm has a better denoising effect.

Optimizing a High-Speed Railway Operation Plan Based on Train Capacity and Service Frequency

2020 ◽  
Vol 146 (10) ◽  
pp. 04020109
Author(s):  
Qing Wang ◽  
Lianbo Deng ◽  
Yuxin Chen ◽  
Wenliang Zhou ◽  
Feng Niu
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Service Frequency ◽  
Railway Operation

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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