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Assessment of road traffic resilience assuming stochastic user behaviour
Trinity College Dublin, Ireland.
RISE - Research Institutes of Sweden, Built Environment, Building Technology.ORCID iD: 0000-0001-5879-7305
2019 (English)In: Reliability Engineering & System Safety, ISSN 0951-8320, E-ISSN 1879-0836, Vol. 185, p. 72-83Article in journal (Refereed) Published
Abstract [en]

When assessing the resilience of road transport networks, users’ response should be considered as they represent the main capability of the system to adapt to changes when any disruptive event occurs and to recover afterwards. Given the variability in users’ response, it seems deterministic approaches might not be adequate to represent the real system performance, thus, a stochastic perspective is required. This paper presents a new approach to assess the resilience of a traffic network when suffering from a disruptive event, considering the stochastic behaviour of the users, where their decisions will be biased by their perception of the traffic conditions rather than by the actual conditions. This approach provides more realistic patterns than the deterministic approach, mainly in terms of recovery times. The real traffic network Luxembourg-Metz has been used to illustrate the approach.

Place, publisher, year, edition, pages
2019. Vol. 185, p. 72-83
Keywords [en]
Dynamic traffic networks, Policy making, Resilience, Road safety, Stochastic user behaviour, Stress level, Behavioral research, Motor transportation, Roads and streets, Uncertainty analysis, Dynamic traffic, Stress levels, User behaviour, Stochastic systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-37343DOI: 10.1016/j.ress.2018.12.013Scopus ID: 2-s2.0-85058707087OAI: oai:DiVA.org:ri-37343DiVA, id: diva2:1281500
Note

 Funding details: 653390; Funding text 1: IMPROVER has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 653390.

Available from: 2019-01-22 Created: 2019-01-22 Last updated: 2019-08-12Bibliographically approved

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Honfi, Daniel

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  • apa
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