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Modeling railway disruption lengths with Copula Bayesian Networks
Abstract Decreasing the uncertainty in the lengths of railway disruptions is a major help to disruption management. To assist the Dutch Operational Control Center Rail (OCCR) during disruptions, weExpand
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Impact of railway disruption predictions and rescheduling on passenger delays
Abstract Disruptions such as rolling stock breakdown, signal failures, and accidents are recurrent events during daily railway operation. Such events disrupt the deployment of resources and causeExpand
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Copula in a multivariate mixed discrete-continuous model
The use of different copula-based models to represent the joint distribution of an eight-dimensional mixed discrete and continuous problem consisting of five discrete and three continuous variablesExpand
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The Copula Bayesian Network with mixed discrete and continuous nodes to forecast railway disruption lengths
The highly uncertain nature of a railway disruption complicates the tasks carried by the Dutch Operational Control Centre Rail (OCCR) in the Netherlands. A good prediction of disruption length isExpand
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Non-Parametric Bayesian Networks for Parameter Estimation in Reservoir Engineering
The ultimate goal in reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve the goal, good knowledge of the subsurface properties is crucial. One of these propertiesExpand
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Dynamic bayesian networks as a possible alternative to the ensemble kalman filter for parameter estimation in reservoir engineering
The objective of reservoir engineering is to optimize hydrocarbon recovery. One of the most common and efficient recovery processes is water injection. The water is pumped into the reservoir inExpand
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Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise
Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties is crucial. The author isExpand
  • 1
Mixed Discrete-Continuous Railway Disruption-Length Models with Copulas
The uncertainty of railway disruption length hinders the performance of the Operational Control Centre Rail (OCCR) in Utrecht. One way to model this uncertainty is by representing the disruptionExpand