2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) 2020
DOI: 10.1109/aqtr49680.2020.9129996
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Conceiving of Resilient Railway Systems

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Cited by 2 publications
(3 citation statements)
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“…Obviously, this kind of approach may also be used to model and analyse other kinds of traffic networks, with the concept of friability (loss of resilience) introduced in [201] to evaluate the effect of removing traffic hubs from the network due to traffic interruption. Object-enhanced time Petri net models were used in [202,203] to model and analyse the behaviours of railway transportation networks subject to traffic disturbances. As such, this approach offers a good basis for the development of future software tools at the strategic and operational levels of traffic management and control and for resilience assessment [202] practically throughout all the phases of railway traffic system conception [203].…”
Section: Resilience Improvement Measures and Inspection Of Critical I...mentioning
confidence: 99%
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“…Obviously, this kind of approach may also be used to model and analyse other kinds of traffic networks, with the concept of friability (loss of resilience) introduced in [201] to evaluate the effect of removing traffic hubs from the network due to traffic interruption. Object-enhanced time Petri net models were used in [202,203] to model and analyse the behaviours of railway transportation networks subject to traffic disturbances. As such, this approach offers a good basis for the development of future software tools at the strategic and operational levels of traffic management and control and for resilience assessment [202] practically throughout all the phases of railway traffic system conception [203].…”
Section: Resilience Improvement Measures and Inspection Of Critical I...mentioning
confidence: 99%
“…Object-enhanced time Petri net models were used in [202,203] to model and analyse the behaviours of railway transportation networks subject to traffic disturbances. As such, this approach offers a good basis for the development of future software tools at the strategic and operational levels of traffic management and control and for resilience assessment [202] practically throughout all the phases of railway traffic system conception [203]. Machine learning methods [204] and Bayesian network models [205] have also been used in traffic network resilience and vulnerability assessment studies.…”
Section: Resilience Improvement Measures and Inspection Of Critical I...mentioning
confidence: 99%
“…The resilience of the Urban Transportation System was of interest for many researchers, and so many assessment methods were proposed [23,24], including also multi-dimensional approach [25] and individual vertex-based and edge-based failure models [26]. The research has expanded beyond the Urban Transportation Systems, including also Railway [27,28] and common Road and Transportation Systems [29,30]. The factor of security has been highlighted, especially toward terrorism [31].…”
Section: Introductionmentioning
confidence: 99%