Network robustness analysis based on current road incident data

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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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

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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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

2015

Kód důvěrnosti údajů

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

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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