Identification of technogenic emergency situations in railway transport using cluster analysis

• Autorzy: Savchuk T. , Petrishyn S. , Sugurova L. , Smolarz A.

Identyfikatory

DOI

10.12915/pe.2014.11.46

Warianty tytułu

PL

Identyfikacja technogennych sytuacji awaryjnych w transporcie kolejowym

• Języki publikacji: EN

Abstrakty

EN

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.

PL

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.

Słowa kluczowe

EN

cluster analysis; k-means algorithm; railway transport

PL

analiza skupień; algorytm k-średnich; transport kolejowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2014
• Tom: R. 90, nr 11
• Strony: 177--184
• Opis fizyczny: Bibliogr. 16 poz., schem., tab., wykr.

Twórcy

autor

Savchuk T.

• Vinnitsa National Technical University

autor

Petrishyn S.

• Vinnitsa National Technical University

autor

Sugurova L.

• Kazakh National Technical University

autor

Smolarz A.

• Lublin University of technology

Bibliografia

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