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Forecasting the state of technogenic emergency situation on the railway transport using data mining technologies

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W pracy przedstawiono wyniki badań odnośnie zapobiegania sytuacjom awaryjnym w transporcie kolejowym. Autorzy wykorzystali model matematyczny do prognozowania stanu składu kolejowego ze zbiornikiem cieczy przegrzanej oraz użyli wybranych technik data mining. Abstract. The paper presents the results of research railway transport emergency prevention. Authors used mathematical model for the prediction of the state of the train tank cargo with superheated liquid and considered some data mining techniques (Prognozowanie technogennych sytuacji awaryjnych w transporcie kolejowym z wykorzystaniem technik data mining). Słowa kluczowe: transport kolejowy, zbiorniki przegrzanej cieczy, prognozowanie sytuacji wyjątkowych, techniki data mining. Keywords: railway transport, superheated liquid tanks, emergency forecasting, data mining. Introduction The development of the railway transport, the increase in its role in people's life is accompanied not only by the positive effects, but also by the negative consequences, such as high levels of transport facilities accidents. Prevention of emergency situations on the railway transport implies the preparation and implementation of the complex of legal, social and economic, political, organizational, technical, sanitary and other activities aimed at regulation of the safety, risk levels evaluation, timely response to the threat of an emergency based on the monitoring (observation) data, expertise, research and forecasts of the possible development of the events in order to prevent them from escalating into an emergency situation or minimize their possible consequences. Rapid detection of the dangerous situation on the railway transport is very important: the earlier the risk is identified, the more time will the manager have for the decision making and implementation of protective actions, which increases the possibility of advance warning the possible development of a dangerous situation that will l[...]

Identification of technogenic emergency situations in railway transport using cluster analysis DOI:10.12915/pe.2014.11.46

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The antropogenic load on natural environment is continuously growing. One of important issues is the influence of transport of goods, especially when the cargo is hazardous. Railroad transport in Ukraine shares about 60% of all means of transport so identification of potential emergency situations in this area is an important issue. The article discusses some methodology approaches and describes cluster analysis as a tool for Identification of technogenic emergency situations in railway transport. Streszczenie. Antropogeniczne obciążenie środowiska naturalnego stale rośnie. Jedną z istotnych kwestii jest wpływ transportu towarów, zwłaszcza gdy ładunek jest niebezpieczny. Transport kolejowy na Ukrainie ma około 60% udziału wszystkich środków transportu, więc identyfikacja potencjalnych sytuacji awaryjnych w tej dziedzinie jest ważnym zagadnieniem. W artykule przedstawiono wybrane podejścia metodyczne i opisano analizę skupień jako narzędzie do identyfikacji technogennych sytuacji awaryjnych w transporcie kolejowym. Identyfikacja technogennych sytuacji awaryjnych w transporcie kolejowym Keywords: cluster analysis, k-means algorithm, railway transport. Słowa kluczowe: analiza skupień, algorytm k-średnich, transport kolejowy. doi:10.12915/pe.2014.11.46 Introduction Growing anthropogenic loading on the environment causes a dramatic worsening of the ecological situation, bringing humanity to a critical point in its relationship with nature and raises a question about the possibility of survival [1]. World's environment if falling into the state of crisis due to the insufficiently deliberate strategy of the state concerning environmental safety. Consequently, every year more and more material and financial resources are directed at the elimination of natural and anthropogenic disasters. One of the troubling issues arise when transporting dangerous / hazardous cargo by rail [2]. Railroad transport is now an important part of the economy i[...]

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