scholarly journals Detecting Embankment Instability Using Measurable Track Geometry Data

2020 ◽  
Vol 5 (3) ◽  
pp. 29
Author(s):  
David Kite ◽  
Giulia Siino ◽  
Matthew Audley
Keyword(s):  
Asset Management ◽  
System Performance ◽  
Data Driven ◽  
Track Geometry ◽  
Track Maintenance ◽  
Management Scenario ◽  
Railway Infrastructure ◽  
The World ◽  
Railway System ◽  
Data Driven Decisions

The British railway system is the oldest in the world. Most railway embankments are aged around 150 years old and the percentage of disruption reports that feature them is frequently higher than other types of railway infrastructure. Remarkable works have been done to understand embankment deterioration and develop asset modelling. Nevertheless, they do not represent a sufficient way of managing assets in detail. As a result, reactive approaches combined with proactive ones would improve the whole asset management scenario. To guarantee good system performance, geotechnical asset management (GAM) aims to reduce uncertainty through informed, data driven decisions and optimisation of resources. GAM approaches are cost sensitive. Thus, data driven approaches that utilize existing resources are highly prized. Track geometry data has been routinely collected by Network Rail, over many years, to identify track defects and subsequently plan track maintenance interventions. Additionally, in 2018 Network Rail commissioned AECOM to undertake a study, described in this paper, to investigate the use of track geometry data in the detection of embankment instabilities. In this study, track geometry data for over 1800 embankments were processed and parameters offering the best correlation with embankment movements were identified and used by an algorithm to generate an embankment instability metric. The study successfully demonstrated that the instability of railway embankments is clearly visible in track geometry data and the metric gives an indication of the worsening of track geometry, that is likely due to embankment instability.

Track geometry degradation and maintenance modelling: A review

2016 ◽  
Vol 232 (1) ◽  
pp. 73-102 ◽  
Author(s):  
Iman Soleimanmeigouni ◽  
Alireza Ahmadi ◽  
Uday Kumar
Keyword(s):  
Maintenance Scheduling ◽  
Railway Track ◽  
Railway Transportation ◽  
Degradation Behaviour ◽  
Maintenance Strategies ◽  
Track Geometry ◽  
Track Maintenance ◽  
Railway Infrastructure ◽  
Recovery Models ◽  
Scheduling Models

Increased demand for railway transportation is creating a need for higher train speeds and axle loads. These, in turn, increase the likelihood of track degradation and failures. Modelling the degradation behaviour of track geometry and development of applicable and effective maintenance strategies has become a challenging concern for railway infrastructure managers. During the last three decades, a number of track geometry degradation and maintenance modelling approaches have been developed to predict and improve the railway track geometry condition. In this paper, existing track geometry measures are identified and discussed. Available models for track geometry degradation are reviewed and classified. Tamping recovery models are also reviewed and discussed to identify the issues and challenges of different available methodologies and models. Existing track geometry maintenance models are reviewed and critical observations on each contribution are provided. The most important track maintenance scheduling models are identified and discussed. Finally, the paper provides directions for further research.

Big Data

2015 ◽  
Vol 6 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Ashok Kumar Wahi ◽  
Yajulu Medury ◽  
Rajnish Kumar Misra
Keyword(s):  
Big Data ◽  
Unstructured Data ◽  
Data Driven ◽  
Enterprise 2.0 ◽  
Huge Amount ◽  
The World ◽  
Data Driven Decisions ◽  
The Impact

Big data has taken the world by storm. Everyone from every industry is not only talking about the impact of big data but is looking for ways to effectively leverage the power of big data. This challenge has heightened with the huge amount of unstructured data flowing from every direction, bringing along with it the increasing pressure to make data driven decisions rather than the gut-driven decisions. This article sheds light on how big data can be an enabler for smart enterprises if the organization is able to address the challenges posed by big data. Enterprises need to equip themselves with relevant technology, desired skills and a supporting managerial attitude to swim through the challenges of big data. It also highlights the need for all enterprises making the journey from 1.0 stage to Enterprise 2.0 to master the art of Big Data if they have to make the transition successful.

scholarly journals State of railway traffic in Vojvodina after the attitudes and the postal development

2020 ◽  
Vol 54 (1) ◽  
pp. 405-426
Author(s):  
Aleksandar Blagojević
Keyword(s):  
World War Ii ◽  
World War I ◽  
Peace Treaty ◽  
World War ◽  
Railway Network ◽  
Railway Traffic ◽  
Railway Infrastructure ◽  
The World ◽  
Railway System

Railway in Vojvodina have been built since 1856.According to a peace treaty it became a part of a railway network of a new country in 1918.Rails on that territory were not as destroyed in Vojvodina as they were in Serbia during the World War I but they were damaged and had barely any transporting ability. After the annexation of Vojvodina to Serbia, the existing rails were reconstructed, new rails and railway infrastructure were built and some new rules regarding railway traffic were introduced. During the first couple of years railway system in a new country was not centralized and it was controlled by five different regional sections, one of which was located in Subotica for territory of Backa, Banat and Baranja. In the period from 1923/24 to the World War II the railway system was centralized. Regarding the difficulties and problems that the new country had encountered, the development and the results of a management between the two World Wars were satisfying

KINERJA iLEARNING RAHARJA ASK AND NEWS (IRAN) DALAM MENDUKUNG KEGIATAN TRIDHARMA IDUHELP!

CCIT Journal ◽  
2014 ◽  
Vol 8 (1) ◽  
pp. 18-33
Author(s):  
Untung Rahardja ◽  
Meta Amalya Dewi ◽  
Fitri Lisnawati
Keyword(s):  
Information Technology ◽  
System Performance ◽  
Communication Media ◽  
Related Method ◽  
Literature Reviews ◽  
The World ◽  
Information And Communication ◽  
System Requirements ◽  
Three Stages ◽  
Care System

Advances in information technology and communications which we achieve now actually been recognized and felt in the world of education in general. Currently College Prog implement a Tridharma terms Tridharma iDuHelp!. Tridharma is one of the basic responsibilities that students must be developed simultaneously and together. In this Tridharma still there are problems in the system iDuHelp! service. So IRAN (iLearning Prog Ask and News) in collaboration with iDuHelp! in providing answers and information needed by the student. In its application in Tridharma iDuHelp! IRAN There is a related method in it, such as iLearning methods that are currently being developed. With iLearning method can facilitate conduct research in detail, accurately, and clearly by using mindmapping. Besides the method of analysis is also done with three stages  namely the identification of the problem, identifying needs, and identifying system requirements. In this study using 4 literature reviews that can be used as references in preparing this paper. In this article explained about the problems that arise and solving problems in accurately using the flow Flowchart. In the implementation of the prototype shown iDuHelp! As well as the performance of Iran. So the end result of the study is a system performance to information and communication media of Iran can maximize iDuHelp! care system  It is widely integrated in a university.

Normative Juridical Review Comparison of Land Acquisition Regulations for Railway Infrastructure between Indonesia and Malaysia

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Dhina Setyo Oktaria ◽  
Agustinus Prasetyo Edi Wibowo
Keyword(s):  
Public Interest ◽  
Influencing Factor ◽  
Land Acquisition ◽  
Infrastructure Development ◽  
The Public ◽  
Indonesian Government ◽  
The People ◽  
Railway Infrastructure ◽  
The World ◽  
The Government

Land acquisition for public purposes, including for the construction of railroad infrastructure, is a matter that is proposed by all countries in the world. The Indonesian government or the Malaysian royal government needs land for railroad infrastructure development. To realize this, a regulation was made that became the legal umbrella for the government or royal government. The people must agree to regulations that require it. Land acquisition for public use in Malaysia can be completed quickly in Indonesia. The influencing factor is the different perceptions of the understanding of what are in the public interest, history and legal systems of the two countries as well as the people's reaction from the two countries

scholarly journals Complex System Governance as a Framework for Asset Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8502
Author(s):  
Polinpapilinho F. Katina ◽  
James C. Pyne ◽  
Charles B. Keating ◽  
Dragan Komljenovic
Keyword(s):  
Complex System ◽  
Performance Improvement ◽  
Asset Management ◽  
System Performance ◽  
Future Research ◽  
Complex Organizations ◽  
Potential Relationship ◽  
Structured Approach

Complex system governance (CSG) is an emerging field encompassing a framework for system performance improvement through the purposeful design, execution, and evolution of essential metasystem functions. The goal of this study was to understand how the domain of asset management (AsM) can leverage the capabilities of CSG. AsM emerged from engineering as a structured approach to organizing complex organizations to realize the value of assets while balancing performance, risks, costs, and other opportunities. However, there remains a scarcity of literature discussing the potential relationship between AsM and CSG. To initiate the closure of this gap, this research reviews the basics of AsM and the methods associated with realizing the value of assets. Then, the basics of CSG are provided along with how CSG might be leveraged to support AsM. We conclude the research with the implications for AsM and suggested future research.

scholarly journals COVID-19 Brings Data Equity Challenges to the Fore

2021 ◽  
Author(s):  
H.V. Jagadish ◽  
Julia Stoyanovich ◽  
Bill Howe
Keyword(s):  
Quality Control ◽  
Government Policy ◽  
Data Driven ◽  
Contact Tracing ◽  
Control Mechanisms ◽  
Sources Of Information ◽  
Decision Systems ◽  
Physical Resources ◽  
Multiple Levels ◽  
Data Driven Decisions

The COVID-19 pandemic is compelling us to make crucial data-driven decisions quickly, bringing together diverse and unreliable sources of information without the usual quality control mechanisms we may employ. These decisions are consequential at multiple levels: they can inform local, state and national government policy, be used to schedule access to physical resources such as elevators and workspaces within an organization, and inform contact tracing and quarantine actions for individuals. In all these cases, significant inequities are likely to arise, and to be propagated and reinforced by data-driven decision systems. In this article, we propose a framework, called FIDES, for surfacing and reasoning about data equity in these systems.

Time to Reduce Complexity in a Data-Driven Regulatory Agenda – Perspectives on the MiFID II Best Execution Regime

2020 ◽  
Vol 17 (6) ◽  
pp. 692-725
Author(s):  
Peter Krüger Andersen
Keyword(s):  
Vertical Integration ◽  
Financial Regulation ◽  
Global Market ◽  
Data Consistency ◽  
Data Driven ◽  
The World ◽  
Policy Objectives ◽  
Sufficient Degree ◽  
Best Execution ◽  
To Come

The revised Markets in Financial Instruments Directive and Regulation (the MiFID II regime)See Directive 2014/65/EU (MiFID II) and Regulation (EU) 600/2014 (MiFIR). is one of the most comprehensive reforms of market structural and investor protection regimes the world has yet seen. The MiFID II regime will affect the European – and likely the global – market structure for years to come. Based on relevant perspectives from the revised best execution regime under MiFID II, this article suggest that it is time to reduce complexity. It is argued that unless a sufficient degree of horizontal and vertical integration of the best execution regulation takes place, the policy objectives cannot be reached. Further, it is argued that the significant data exercise that comes with the new rules only serves end-investors if a sufficient level of data consistency can be achieved. From this outset, the article emphasises the increased importance of data in today’s EU financial regulation. The article includes relevant comparisons to the equivalent US rules on best execution.

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