Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Malakar, Bidhan; Roy, Binoy Krishna

doi:10.1049/iet-rsn.2017.0488

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…This technology allows the capture of real-time data of the train, railroads and other railway infrastructure assets in order to convert the data into information that helps the improvement of the railway processes. The IoT technology has been used in multiple train transportation problems such as freight-train parameters monitoring [ 60 ], railway-tunnel structure monitoring [ 29 ], weather monitoring in railroads [ 30 ], train localization [ 63 ] and train dispatching systems [ 90 ].…”

Section: Resultsmentioning

confidence: 99%

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review

Laiton-Bonadiez

Bedoya

Zapata-Cortés

et al. 2022

Sensors

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Background: Industry 4.0 technologies have been widely used in the railway industry, focusing mainly on maintenance and control tasks necessary in the railway infrastructure. Given the great potential that these technologies offer, the scientific community has come to use them in varied ways to solve a wide range of problems such as train failures, train station security, rail system control and communication in hard-to-reach areas, among others. For this reason, this paper aims to answer the following research questions: what are the main issues in the railway transport industry, what are the technologic strategies that are currently being used to solve these issues and what are the technologies from industry 4.0 that are used in the railway transport industry to solve the aforementioned issues? Methods: This study adopts a systematic literature review approach. We searched the Science Direct and Web of Science database inception from January 2017 to November 2021. Studies published in conferences or journals written in English or Spanish were included for initial process evaluation. The initial included papers were analyzed by authors and selected based on whether they helped answer the proposed research questions or not. Results: Of the recovered 515 articles, 109 were eligible, from which we could identify three main application domains in the railway industry: monitoring, decision and planification techniques, and communication and security. Regarding industry 4.0 technologies, we identified 9 different technologies applied in reviewed studies: Artificial Intelligence (AI), Internet of Things (IoT), Cloud Computing, Big Data, Cybersecurity, Modelling and Simulation, Smart Decision Support Systems (SDSS), Computer Vision and Virtual Reality (VR). This study is, to our knowledge, one of the first to show how industry 4.0 technologies are currently being used to tackle railway industry problems and current application trends in the scientific community, which is highly useful for the development of future studies and more advanced solutions. Funding: Colombian national organizations Minciencias and the Mining-Energy Planning Unit.

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Section: Resultsmentioning

confidence: 99%

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review

Laiton-Bonadiez

Bedoya

Zapata-Cortés

et al. 2022

Sensors

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“…The capability of the method is compared with that of the observation error-based method, the bounded offset-based method, and the technique of pseudo-measurement state bounding. Simulation results show that the superiority of the proposed method in terms of accuracy of positioning and detected unexpected train separation at least separation distance has not yet been applied in practice [6].…”

Section: Introductionmentioning

confidence: 99%

Information Processing Methods and LOT Cloud Platform for Fusion of 5G Urban Component Sensors

2022

Mobile Information Systems

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With the rapid development of intelligent applications, the development of the Internet of Things changes with each passing day. The Internet of Things, as an essential component of the new information technology, has already become another revolutionary information industry after computers and modern communications. Although the Internet of Things has developed and grown, at the application level, the applications of Internet of Things devices of different architectures are relatively independent of their data information. This paper is based on the research of 5G urban component sensor information processing method and LOT cloud platform, and proposes a data fusion algorithm based on the data sequence of the same time. It analyzes the system process and architecture diagram of the LOT cloud platform, examines the performance of the Hadoop platform on different scale data sets, and uses the stand-alone system as a reference. The experimental results show that the time increase of the cluster decreases with the increase of the amount of data, which shows that the system exerts the advantages of parallel computing under the massive amount of data, and as the data source file increases, the accuracy rate decreases. When the data source size is 2000 MB, the Hadoop cluster system with 3 and 4 cluster nodes has the highest accuracy, 79.21% and 76.28%, respectively.

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Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Cited by 2 publications

References 41 publications

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review

Information Processing Methods and LOT Cloud Platform for Fusion of 5G Urban Component Sensors

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