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BIG DATA FOR RISK ANALYSIS: THE FUTURE OF SAFE RAILWAYS

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BIG DATA FOR RISK ANALYSIS: THE FUTURE OF SAFE RAILWAYS

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dc.contributor.author Figueres Esteban, Miguel es_ES
dc.contributor.author Hughes, Peter
dc.contributor.author Gulijk, Coen van
dc.date.accessioned 2017-07-12T06:56:46Z
dc.date.available 2017-07-12T06:56:46Z
dc.date.issued 2016-06-01
dc.identifier.isbn 9788460899600
dc.identifier.uri http://hdl.handle.net/10251/84976
dc.description.abstract [EN] New technology brings ever more data to support decision-making for intelligent transport systems. Big Data is no longer a futuristic challenge, it is happening right now: modern railway systems have countless sources of data providing a massive quantity of diverse information on every aspect of operations such as train position and speed, brake applications, passenger numbers, status of the signaling system or reported incidents.The traditional approaches to safety management on the railways have relied on static data sources to populate traditional safety tools such as bow-tie models and fault trees. The Big Data Risk Analysis (BDRA) program for Railways at the University of Huddersfield is investigating how the many Big Data sources from the railway can be combined in a meaningful way to provide a better understanding about the GB railway systems and the environment within which they operate.Moving to BDRA is not simply a matter of scaling-up existing analysis techniques. BDRA has to coordinate and combine a wide range of sources with different types of data and accuracy, and that is not straight-forward. BDRA is structured around three components: data, ontology and visualisation. Each of these components is critical to support the overall framework. This paper describes how these three components are used to get safety knowledge from two data sources by means of ontologies from text documents. This is a part of the ongoing BDRA research that is looking at integrating many large and varied data sources to support railway safety and decision-makers.DOI: http://dx.doi.org/10.4995/CIT2016.2016.1825 es_ES
dc.format.extent 7 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject INGENIERÍA DEL TRANSPORTE es_ES
dc.title BIG DATA FOR RISK ANALYSIS: THE FUTURE OF SAFE RAILWAYS es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CIT2016.2015.1825
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Figueres Esteban, M.; Hughes, P.; Gulijk, CV. (2016). BIG DATA FOR RISK ANALYSIS: THE FUTURE OF SAFE RAILWAYS. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 347-353. https://doi.org/10.4995/CIT2016.2015.1825 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CIT2016. Congreso de Ingeniería del Transporte es_ES
dc.relation.conferencedate June 07-09,2016 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CIT/CIT2016/paper/view/1825 es_ES
dc.description.upvformatpinicio 347 es_ES
dc.description.upvformatpfin 353 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\1825 es_ES


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