Network robustness analysis based on current road incident data
Identifikátory výsledku
Kód výsledku v IS VaVaI
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Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Network robustness analysis based on current road incident data
Popis výsledku v původním jazyce
A functioning road network is a vital part of society. The network consists of road sections and intersections which are usually modeled as a graph composed of nodes and links. The most important property of the network from the point of view of its users is its robustness, which means its ability to endure diverse types of catastrophic events caused by various artificial or natural reasons. We used a database of road blockage events which have been collected by Czech road administrators as of 2010. This data enabled us to model road blockage disruption probabilities using intensities and frequencies of events including the catastrophic ones. The probabilities were used as input into our model which is able to evaluate the robustness of the network based on three different strategies. The first strategy covers all possible states of the network including tail risk events. The other two strategies can be understood as special versions of an attack-repair strategy. Our model is also able
Název v anglickém jazyce
Network robustness analysis based on current road incident data
Popis výsledku anglicky
A functioning road network is a vital part of society. The network consists of road sections and intersections which are usually modeled as a graph composed of nodes and links. The most important property of the network from the point of view of its users is its robustness, which means its ability to endure diverse types of catastrophic events caused by various artificial or natural reasons. We used a database of road blockage events which have been collected by Czech road administrators as of 2010. This data enabled us to model road blockage disruption probabilities using intensities and frequencies of events including the catastrophic ones. The probabilities were used as input into our model which is able to evaluate the robustness of the network based on three different strategies. The first strategy covers all possible states of the network including tail risk events. The other two strategies can be understood as special versions of an attack-repair strategy. Our model is also able
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
DE - Zemský magnetismus, geodesie, geografie
OECD FORD obor
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Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Safety and Reliability of Complex Engineered Systems
ISBN
978-1-138-02879-1
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
1763-1768
Název nakladatele
Taylor & Francis Group
Místo vydání
London
Místo konání akce
Zurich
Datum konání akce
1. 1. 2015
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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