Adaptive simulated annealing: a new approach for the network vulnerability analyses

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F18%3AN0000002" target="_blank" >RIV/44994575:_____/18:N0000002 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive simulated annealing: a new approach for the network vulnerability analyses

Popis výsledku v původním jazyce

Proper quantification of hazard for various types of events (natural processes, traffic crashes, etc.) ranks among the main current topics of transportation network reliability research. But low hazard does not mean that the event cannot occur. It is thus necessary to evaluate beforehand potential impacts, because many low probability events have large impacts on functioning of a network (see Mattsson and Jenelius, 2015). Extremal events usually affect many nodes and links and can even lead, in the worst cases, to the disintegration of the network into several parts. In addition, the nodes and links are not necessarily concentrated in one area and can be spread within the entire network (Bíl et al., 2015). One of the main features of the road networks is that the number of links outgoing from a node is only seldom higher than 5. This means that interruption of a relatively small number of links can have a significant impact on functioning of the entire network. This is particularly true, when important sources and services remain isolated. The main aim is thus to identify the combinations of concurrently interrupted links with the largest negative impact on the network.

Název v anglickém jazyce

Adaptive simulated annealing: a new approach for the network vulnerability analyses

Popis výsledku anglicky

Proper quantification of hazard for various types of events (natural processes, traffic crashes, etc.) ranks among the main current topics of transportation network reliability research. But low hazard does not mean that the event cannot occur. It is thus necessary to evaluate beforehand potential impacts, because many low probability events have large impacts on functioning of a network (see Mattsson and Jenelius, 2015). Extremal events usually affect many nodes and links and can even lead, in the worst cases, to the disintegration of the network into several parts. In addition, the nodes and links are not necessarily concentrated in one area and can be spread within the entire network (Bíl et al., 2015). One of the main features of the road networks is that the number of links outgoing from a node is only seldom higher than 5. This means that interruption of a relatively small number of links can have a significant impact on functioning of the entire network. This is particularly true, when important sources and services remain isolated. The main aim is thus to identify the combinations of concurrently interrupted links with the largest negative impact on the network.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10508 - Physical geography

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů