Improving Punctuality of Train Traffic on Western Main Line of Swedish Railway Network: Simulation Approach

2009 ◽  
Author(s):  
Nilesh Anand ◽  
Michel Anayi
Keyword(s):  
High Speed ◽  
Robustness Analysis ◽  
Simulation Software ◽  
Main Line ◽  
Railway Network ◽  
Factors Affecting ◽  
Capacity Enhancement ◽  
Railway Line ◽  
Rail Network ◽  
Line Section

Western main line is one of the most important railway lines in Sweden. The line section from Stockholm to Katrineholm, which connects the largest cities of the Sweden i.e. Stockholm, Gothenburg and Malmo¨, is studied. This line has heterogeneous train traffic consisting high-speed, regional, freight and commuter trains. This paper attempts to study different factors affecting punctuality on this railway line concentrating on traffic problem around Gnesta station and commuter train turn-back scenario — a bottleneck — at the same station. Simulation of existing and modified timetable is done using train traffic simulation software “Railsys”. Experiments including examining effect of rescheduling train timings, capacity enhancement and infrastructure changes in rail network are conducted and investigated. Robustness analysis is performed from the results of simulation and investigation of the consequences of delays and comparison of how different features in the timetables affect the robustness is done.

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.

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.

Optimal profile design for rail grinding based on wheel–rail contact, stability, and wear development in high-speed electric multiple units

2019 ◽  
Vol 234 (6) ◽  
pp. 666-677
Author(s):  
Kai Xu ◽  
Zheng Feng ◽  
Hao Wu ◽  
Dongri Xu ◽  
Fu Li ◽  
...  
Keyword(s):  
High Speed ◽  
Simulation Software ◽  
Single Type ◽  
Large Radius ◽  
Wheel Wear ◽  
Railway Line ◽  
Rail Grinding ◽  
Wheel Profile ◽  
Profile Design ◽  
Multiple Units

High-speed electric multiple units have numerous advantages. However, a number of critical maintenance issues arise in the operation of high-speed electric multiple units. The previous researches about rail profile design usually take only a single type of wheel profile into account, which would cause some other problems such as severe increase of hollow wear on the wheels. This study systematically investigates the influence of rail grinding on running stability and wear development in high-speed electric multiple units and designs a new rail profile as reference for grinding that takes all types of vehicle wheels running on a specific line into account, in order to design a ground rail which could match the wheel profile and thus improve the running stability of electric multiple units. All types of wheel profiles used on the Wuhan–Guangzhou railway line are taken as the design reference. A wheel–rail wear simulation program is constructed based on CONTACT numerical simulation software and SIMPACK vehicle system dynamics software. The simulation results show that both the wheel–rail contact relationship and the running stability of high-speed electric multiple units improved after rail grinding. The results of the wheel wear analysis show that when the rail is ground to the target profile, after a running mileage of 200,000 km, the wear area of the new wheel profile LMA and the greatest hollow wear wheel profile LMA-25 decreases by 1.13 mm2 and 9.86 mm2, respectively. In addition, this method can prolong the wheel reprofiling interval. For the Wuhan–Guangzhou railway line, normally the grinding interval for the tangent track and large-radius curve is 2–3 years, and for the entering and exiting tunnel sections, the grinding interval should be set for 1–2 years, which could remove the damaged layer of the rail surface and could restore the designed profile of the rail and prolong the rail service life.

scholarly journals HIGH SPEED RAILWAY LINES – FUTURE PART OF CZECH RAILWAY NETWORK?

2017 ◽  
Vol 11 ◽  
pp. 74
Author(s):  
Lukáš Týfa ◽  
David Vodák
Keyword(s):  
High Speed ◽  
Railway Network ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Railway Line ◽  
High Speed Trains ◽  
The One ◽  
Infrastructure Maintenance ◽  
The Relationship ◽  
Multiple Units

The paper first describes high speed rail generally and explains the relationship between high speed and conventional railway networks (according to the vehicle types in operation on the network). The core of the paper is comprised of the methodology for choosing the best route for a railway line and its application to the high speed railway connection Praha – Brno. The Algorithm used assumes the existence of more route proposals, which could be different in terms of the operational conception, line routing or types of vehicles used. The optimal variant is the one with the lowest daily cost, which includes infrastructure and vehicle costs; investment and operational costs. The results from applying this model confirmed the assumption, that a dedicated high speed railway line, only for high speed trains, has the same or lower investment costs than a line for both high speed and conventional trains. Furthermore, a dedicated high line also has a lower cost for infrastructure maintenance but a higher cost for buying high speed multiple units.

COLUMN GENERATION APPROACH TO LINE PLANNING WITH VARIOUS HALTING PATTERNS — APPLICATION TO THE KOREAN HIGH-SPEED RAILWAY

2013 ◽  
Vol 30 (04) ◽  
pp. 1350006 ◽  
Author(s):  
BUM HWAN PARK ◽  
YONG-IL SEO ◽  
SUNG-PIL HONG ◽  
HAG-LAE RHO
Keyword(s):  
Column Generation ◽  
High Speed ◽  
Railway Network ◽  
Line Planning ◽  
High Speed Railway ◽  
Railway Line ◽  
Planning Optimization ◽  
Planning Models ◽  
Passenger Travel ◽  
Planning Problems

This study investigated railway line planning optimization models that determine the frequency of trains on each line to satisfy passenger origin–destination demands while minimizing related costs. Most line planning models assume that all trains on the same route run with the same halting pattern. However, to minimize passenger travel time and to provide a train service with faster travel times to as many stations as possible, we must consider various halting patterns; these patterns can be provided in advance or are required to be formulated. Our study addresses two line planning problems that consider halting patterns, describes the computational complexities of each problem, and presents the column generation approach for one model. We also present experimental results obtained for the Korean high-speed railway network.

scholarly journals Reconstruction and modernization of railway line Stalać – Kraljevo - Rudnica: Option analysis

2021 ◽  
Author(s):  
Ljiljana Milić Marković ◽  
Ljubo Marković
Keyword(s):  
Social Environment ◽  
International Agreements ◽  
Single Track ◽  
Railway Network ◽  
Railway Line ◽  
Rail Network ◽  
Design Speed ◽  
Technical Solutions ◽  
Double Track ◽  
The Eu

Serbia is upgrading its Core Railway Network in line with international agreements with a view to reaching the EU standards of interoperability. It aims to revitalise and develop the railway network giving priority to Pan-European Corridor X, which is the backbone of the system, and to SEETO routes 10 and 11 (as part of Indicative Extension of TEN-T Core rail network) on which the Stalać-Kraljevo-Rudnica line is located. The overall objective of Reconstruction and modernization of the railway line Stalać-Kraljevo-Rudnica is to safeguard the functionality by aligning it with the relevant standards as specified in the TEN-T regulations and TSI requirements. The purpose of this paper is to define the options for each of the proposed parameters (Single-track or Double-track, Axle load, Design speed, Technical solutions for structures (tunnels, bridges, underpasses and overpasses), Electrification, Signalling, Telecommunications and management, Stations, Environmental protection and Social Environment) and select the desired option.

scholarly journals Multiview deep learning based on tensor decomposition and its application in fault detection of overhead contact systems

2021 ◽  
Author(s):  
Xuewu Zhang ◽  
Yansheng Gong ◽  
Chen Qiao ◽  
Wenfeng Jing
Keyword(s):  
High Speed ◽  
Tensor Decomposition ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Feature Maps ◽  
Training Time ◽  
Detection Model ◽  
Railway Line ◽  
Result Show ◽  
Deep Layers

AbstractThis article mainly focuses on the most common types of high-speed railways malfunctions in overhead contact systems, namely, unstressed droppers, foreign-body invasions, and pole number-plate malfunctions, to establish a deep-network detection model. By fusing the feature maps of the shallow and deep layers in the pretraining network, global and local features of the malfunction area are combined to enhance the network's ability of identifying small objects. Further, in order to share the fully connected layers of the pretraining network and reduce the complexity of the model, Tucker tensor decomposition is used to extract features from the fused-feature map. The operation greatly reduces training time. Through the detection of images collected on the Lanxin railway line, experiments result show that the proposed multiview Faster R-CNN based on tensor decomposition had lower miss probability and higher detection accuracy for the three types faults. Compared with object-detection methods YOLOv3, SSD, and the original Faster R-CNN, the average miss probability of the improved Faster R-CNN model in this paper is decreased by 37.83%, 51.27%, and 43.79%, respectively, and average detection accuracy is increased by 3.6%, 9.75%, and 5.9%, respectively.

scholarly journals Fully Automated Cultivation of Adipose-Derived Stem Cells in the StemCellDiscovery—A Robotic Laboratory for Small-Scale, High-Throughput Cell Production Including Deep Learning-Based Confluence Estimation

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 575
Author(s):  
Jelena Ochs ◽  
Ferdinand Biermann ◽  
Tobias Piotrowski ◽  
Frederik Erkens ◽  
Bastian Nießing ◽  
...  
Keyword(s):  
Stem Cells ◽  
Deep Learning ◽  
High Throughput ◽  
High Speed ◽  
New Technologies ◽  
Human Mesenchymal Stem Cells ◽  
Simulation Software ◽  
System Capacity ◽  
Small Scale ◽  
Production Environment

Laboratory automation is a key driver in biotechnology and an enabler for powerful new technologies and applications. In particular, in the field of personalized therapies, automation in research and production is a prerequisite for achieving cost efficiency and broad availability of tailored treatments. For this reason, we present the StemCellDiscovery, a fully automated robotic laboratory for the cultivation of human mesenchymal stem cells (hMSCs) in small scale and in parallel. While the system can handle different kinds of adherent cells, here, we focus on the cultivation of adipose-derived hMSCs. The StemCellDiscovery provides an in-line visual quality control for automated confluence estimation, which is realized by combining high-speed microscopy with deep learning-based image processing. We demonstrate the feasibility of the algorithm to detect hMSCs in culture at different densities and calculate confluences based on the resulting image. Furthermore, we show that the StemCellDiscovery is capable of expanding adipose-derived hMSCs in a fully automated manner using the confluence estimation algorithm. In order to estimate the system capacity under high-throughput conditions, we modeled the production environment in a simulation software. The simulations of the production process indicate that the robotic laboratory is capable of handling more than 95 cell culture plates per day.

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