Abstract
Evacuation of people located inside the enclosed area of an LNG terminal is a complex problem, especially considering that accidents involving LNG are potentially very hazardous. In order to create an evacuation model managed through fuzzy logic, extensive influence must be generated from safety analyses. A very important moment in the optimal functioning of an evacuation model is the creation of a database which incorporates all input indicators. The output result is the creation of a safety evacuation route which is active at the moment of the accident. (Author)
Stankovicj, Goran;
Petelin, Stojan;
[1]
others, and
- Faculty for Maritime Studies and Transport, University of Ljubljana, Portorozh (Sierra Leone)
Citation Formats
Stankovicj, Goran, Petelin, Stojan, and others, and.
Advanced evacuation model managed through fuzzy logic during an accident in LNG terminal.
Macedonia, The Former Yugoslav Republic of: N. p.,
2014.
Web.
Stankovicj, Goran, Petelin, Stojan, & others, and.
Advanced evacuation model managed through fuzzy logic during an accident in LNG terminal.
Macedonia, The Former Yugoslav Republic of.
Stankovicj, Goran, Petelin, Stojan, and others, and.
2014.
"Advanced evacuation model managed through fuzzy logic during an accident in LNG terminal."
Macedonia, The Former Yugoslav Republic of.
@misc{etde_22390249,
title = {Advanced evacuation model managed through fuzzy logic during an accident in LNG terminal}
author = {Stankovicj, Goran, Petelin, Stojan, and others, and}
abstractNote = {Evacuation of people located inside the enclosed area of an LNG terminal is a complex problem, especially considering that accidents involving LNG are potentially very hazardous. In order to create an evacuation model managed through fuzzy logic, extensive influence must be generated from safety analyses. A very important moment in the optimal functioning of an evacuation model is the creation of a database which incorporates all input indicators. The output result is the creation of a safety evacuation route which is active at the moment of the accident. (Author)}
journal = []
issue = {1}
volume = {32}
journal type = {AC}
place = {Macedonia, The Former Yugoslav Republic of}
year = {2014}
month = {Jul}
}
title = {Advanced evacuation model managed through fuzzy logic during an accident in LNG terminal}
author = {Stankovicj, Goran, Petelin, Stojan, and others, and}
abstractNote = {Evacuation of people located inside the enclosed area of an LNG terminal is a complex problem, especially considering that accidents involving LNG are potentially very hazardous. In order to create an evacuation model managed through fuzzy logic, extensive influence must be generated from safety analyses. A very important moment in the optimal functioning of an evacuation model is the creation of a database which incorporates all input indicators. The output result is the creation of a safety evacuation route which is active at the moment of the accident. (Author)}
journal = []
issue = {1}
volume = {32}
journal type = {AC}
place = {Macedonia, The Former Yugoslav Republic of}
year = {2014}
month = {Jul}
}