Henk Blom - Academia.edu (original) (raw)

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Papers by Henk Blom

Research paper thumbnail of <title>Jump linear model-based aircraft trajectory reconstruction</title>

Signal and Data Processing of Small Targets 1994, 1994

ABSTRACT

Research paper thumbnail of Rare Event Simulation using Monte Carlo Methods

Research paper thumbnail of Air Transport Distribution: Unlimited Classification title: Unclassified

multiple maneuvering targets in clutter

Research paper thumbnail of Joint Interacting Multiple Model Probabilistic Joint Interacting Multiple Model Probabilistic Joint Interacting Multiple Model Probabilistic Joint Interacting Multiple Model Probabilistic Data Association Particle filter Data Association Particle filter Data Association Particle filter Data Associat

Research paper thumbnail of Human cognition modelling in ATM safety Human cognition modelling in ATM safety Human cognition modelling in ATM safety Human cognition modelling in ATM safety assessment

Research paper thumbnail of Combining Interacting Multiple Model and Joint Combining Interacting Multiple Model and Joint Combining Interacting Multiple Model and Joint Combining Interacting Multiple Model and Joint Probabilistic Data Association for tracking

Research paper thumbnail of Interacting Multiple Model Joint Probabilistic Interacting Multiple Model Joint Probabilistic Interacting Multiple Model Joint Probabilistic Interacting Multiple Model Joint Probabilistic Data Association avoiding track coalescence Data Association avoiding track coalescence Data Association avoidin

Research paper thumbnail of Safety case in ATM is more than accident risk Safety case in ATM is more than accident risk

Research paper thumbnail of Nationaal Lucht- en Ruimtevaartlaboratorium

Estimating rare event probabilities in large scale stochastic hybrid systems by sequential

Research paper thumbnail of Geometric and probabilistic approaches Geometric and probabilistic approaches Geometric and probabilistic approaches Geometric and probabilistic approaches towards Conflict Prediction towards Conflict Prediction towards Conflict Prediction towards Conflict Prediction

Research paper thumbnail of iFly Deliverable D7.2g Final Report on Monte Carlo speed-up studies

Project co-funded by the European Commission within the Sixth Framework Programme (2002-2006) Dis... more Project co-funded by the European Commission within the Sixth Framework Programme (2002-2006) Dissemination Level PU Public PP Restricted to other programme participants (including the Commission Services) RE Restricted to a group specified by the consortium (including the Commission Services) CO Confidential, only for members of the consortium (including the Commission Services) iFly 6 th Framework programme Deliverable D7.2g iFly 6 th Framework programme Deliverable D7.2g

Research paper thumbnail of Scanning the Issue

IEEE Transactions on Intelligent Transportation Systems, 2019

This paper proposes a new framework for predicting arrival sequences of aircraft based on a prefe... more This paper proposes a new framework for predicting arrival sequences of aircraft based on a preference learning approach that emulates the sequencing strategies of human air traffic controllers by learning from historical data. The proposed algorithm works in two stages: it first learns the probabilistic preferences between each pair of arriving aircraft, and the overall sequence for a new set of aircraft is then determined by combining the pairwise probabilities. The proposed model is validated using historical traffic data at Incheon International Airport, and its performance is evaluated using Spearman's rank correlation and dynamic simulation analysis. A possible application for the proposed method in decision support for arrival sequencing is also suggested.

Research paper thumbnail of Nationaal Lucht-en Ruimtevaartlaboratorium National Aerospace Laboratory NLR NLR-TP-2006-693 Bayesian tracking of two possible unresolved maneuvering targets

The paper studies the problem of maintaining tracks of two targets that may maneuver in and out f... more The paper studies the problem of maintaining tracks of two targets that may maneuver in and out formation flight, whereas the sensor and measurement extraction chain produces false and possibly unresolved or missing measurements. If the possibility of unresolved measurements is not modelled than it is quite likely that either the two tracks coalesce or that one of the two tracks diverges on false measurements. In literature a robust measurement resolution model has been incorporated within an IMM/MHT track maintenance setting. A straightforward incorporation of the same model within an IMM and PDAlike hypothesis merging approach suffers from track coalescence. In order to improve this situation, the paper develops a track-coalescence avoiding hypotheses merging version for the two target problem considered. Through Monte Carlo simulations, the novel filters are compared to applying hypotheses merging approaches that ignore the possibility of unresolved measurements or trackcoalescence.

Research paper thumbnail of Maneuvering Targets from Possibly Missing and False Measurements?

Exact Bayesian filter and joint IMM coupled PDA tracking of maneuvering targets from possibly mis... more Exact Bayesian filter and joint IMM coupled PDA tracking of maneuvering targets from possibly missing and false measurements

Research paper thumbnail of Bayesian estimation

information processing, and control

Research paper thumbnail of Knowledge area(s)

Stochastic hybrid systems Bayesian filtering Particle filtering State dependent switching Jump-no... more Stochastic hybrid systems Bayesian filtering Particle filtering State dependent switching Jump-nonlinear systems Non-Markov jumps Maneuvering target tracking Exact Bayesian and particle filtering of stochastic hybrid systems Problem area In literature on Bayesian filtering of stochastic hybrid systems most studies are limited to Markov jump systems. The main exceptions are approximate Bayesian filters for semi-Markov jump linear systems. These studies showed that nonlinear filtering becomes much more challenging under non-Markov jumps. This challenge however does not apply to particle filtering of stochastic hybrid systems. In practice, non-Markov jumps rather are the rule, not the exception. For example, on an airport, the probability at which a taxiing aircraft makes a maneuver depends heavily on its position; e.g. when taxiing near a crossing on the airport, the probability of starting a turn is relatively high, whereas outside these areas this probability may be very small. A si...

Research paper thumbnail of Reviewer

— The basic notion of free flight is that aircrews obtain the freedom to select their trajectory ... more — The basic notion of free flight is that aircrews obtain the freedom to select their trajectory including the responsibility of resolving conflicts with other aircraft. Under low en-route traffic loads there is general agreement that free flight can be safely applied. Under increasing traffic loads, however, the answer to this question becomes unknown. Free flight would change ATM in such a fundamental way, that one can speak of a paradigm shift and that comes with emerging behavior, i.e. novel behavior which is exhibited at the system-wide level and emerges from the combined dynamical actions and reactions by individual systems and humans that affect the operations. Because emerging behavior cannot be predicted from previous experience, we need a complementary approach in estimating the safety of free flight under relatively high traffic levels. This paper explains how recently developed methods in Petri net specification and sequential Monte Carlo simulation can be used to make p...

Research paper thumbnail of Probabilistic wake vortex induced accident risk assessment, 3 rd USA/Europe Air Traffic Management R&D Seminar, FAA/Eurocontrol

The contents of this report may be cited on condition that full credit is given to NLR and the au... more The contents of this report may be cited on condition that full credit is given to NLR and the authors. Division:

Research paper thumbnail of Authors M.H.C. Everdij NLR

Research paper thumbnail of NLR-TP-2009-194 Systemic Accident Risk Assessment in Air Traffic by Monte Carlo Simulation

Problem area Air traffic risk assessments have predominantly been done by sequential and epidemio... more Problem area Air traffic risk assessments have predominantly been done by sequential and epidemiological accident models, such as fault and event trees. These types of models have limitations in representing dependent dynamics in air traffic scenarios. A systemic accident model considers accidents as emergent phenomena from variability and interactions in a complex system. As such it is better suited for risk assessment of complex scenarios in air traffic.

Research paper thumbnail of <title>Jump linear model-based aircraft trajectory reconstruction</title>

Signal and Data Processing of Small Targets 1994, 1994

ABSTRACT

Research paper thumbnail of Rare Event Simulation using Monte Carlo Methods

Research paper thumbnail of Air Transport Distribution: Unlimited Classification title: Unclassified

multiple maneuvering targets in clutter

Research paper thumbnail of Joint Interacting Multiple Model Probabilistic Joint Interacting Multiple Model Probabilistic Joint Interacting Multiple Model Probabilistic Joint Interacting Multiple Model Probabilistic Data Association Particle filter Data Association Particle filter Data Association Particle filter Data Associat

Research paper thumbnail of Human cognition modelling in ATM safety Human cognition modelling in ATM safety Human cognition modelling in ATM safety Human cognition modelling in ATM safety assessment

Research paper thumbnail of Combining Interacting Multiple Model and Joint Combining Interacting Multiple Model and Joint Combining Interacting Multiple Model and Joint Combining Interacting Multiple Model and Joint Probabilistic Data Association for tracking

Research paper thumbnail of Interacting Multiple Model Joint Probabilistic Interacting Multiple Model Joint Probabilistic Interacting Multiple Model Joint Probabilistic Interacting Multiple Model Joint Probabilistic Data Association avoiding track coalescence Data Association avoiding track coalescence Data Association avoidin

Research paper thumbnail of Safety case in ATM is more than accident risk Safety case in ATM is more than accident risk

Research paper thumbnail of Nationaal Lucht- en Ruimtevaartlaboratorium

Estimating rare event probabilities in large scale stochastic hybrid systems by sequential

Research paper thumbnail of Geometric and probabilistic approaches Geometric and probabilistic approaches Geometric and probabilistic approaches Geometric and probabilistic approaches towards Conflict Prediction towards Conflict Prediction towards Conflict Prediction towards Conflict Prediction

Research paper thumbnail of iFly Deliverable D7.2g Final Report on Monte Carlo speed-up studies

Project co-funded by the European Commission within the Sixth Framework Programme (2002-2006) Dis... more Project co-funded by the European Commission within the Sixth Framework Programme (2002-2006) Dissemination Level PU Public PP Restricted to other programme participants (including the Commission Services) RE Restricted to a group specified by the consortium (including the Commission Services) CO Confidential, only for members of the consortium (including the Commission Services) iFly 6 th Framework programme Deliverable D7.2g iFly 6 th Framework programme Deliverable D7.2g

Research paper thumbnail of Scanning the Issue

IEEE Transactions on Intelligent Transportation Systems, 2019

This paper proposes a new framework for predicting arrival sequences of aircraft based on a prefe... more This paper proposes a new framework for predicting arrival sequences of aircraft based on a preference learning approach that emulates the sequencing strategies of human air traffic controllers by learning from historical data. The proposed algorithm works in two stages: it first learns the probabilistic preferences between each pair of arriving aircraft, and the overall sequence for a new set of aircraft is then determined by combining the pairwise probabilities. The proposed model is validated using historical traffic data at Incheon International Airport, and its performance is evaluated using Spearman's rank correlation and dynamic simulation analysis. A possible application for the proposed method in decision support for arrival sequencing is also suggested.

Research paper thumbnail of Nationaal Lucht-en Ruimtevaartlaboratorium National Aerospace Laboratory NLR NLR-TP-2006-693 Bayesian tracking of two possible unresolved maneuvering targets

The paper studies the problem of maintaining tracks of two targets that may maneuver in and out f... more The paper studies the problem of maintaining tracks of two targets that may maneuver in and out formation flight, whereas the sensor and measurement extraction chain produces false and possibly unresolved or missing measurements. If the possibility of unresolved measurements is not modelled than it is quite likely that either the two tracks coalesce or that one of the two tracks diverges on false measurements. In literature a robust measurement resolution model has been incorporated within an IMM/MHT track maintenance setting. A straightforward incorporation of the same model within an IMM and PDAlike hypothesis merging approach suffers from track coalescence. In order to improve this situation, the paper develops a track-coalescence avoiding hypotheses merging version for the two target problem considered. Through Monte Carlo simulations, the novel filters are compared to applying hypotheses merging approaches that ignore the possibility of unresolved measurements or trackcoalescence.

Research paper thumbnail of Maneuvering Targets from Possibly Missing and False Measurements?

Exact Bayesian filter and joint IMM coupled PDA tracking of maneuvering targets from possibly mis... more Exact Bayesian filter and joint IMM coupled PDA tracking of maneuvering targets from possibly missing and false measurements

Research paper thumbnail of Bayesian estimation

information processing, and control

Research paper thumbnail of Knowledge area(s)

Stochastic hybrid systems Bayesian filtering Particle filtering State dependent switching Jump-no... more Stochastic hybrid systems Bayesian filtering Particle filtering State dependent switching Jump-nonlinear systems Non-Markov jumps Maneuvering target tracking Exact Bayesian and particle filtering of stochastic hybrid systems Problem area In literature on Bayesian filtering of stochastic hybrid systems most studies are limited to Markov jump systems. The main exceptions are approximate Bayesian filters for semi-Markov jump linear systems. These studies showed that nonlinear filtering becomes much more challenging under non-Markov jumps. This challenge however does not apply to particle filtering of stochastic hybrid systems. In practice, non-Markov jumps rather are the rule, not the exception. For example, on an airport, the probability at which a taxiing aircraft makes a maneuver depends heavily on its position; e.g. when taxiing near a crossing on the airport, the probability of starting a turn is relatively high, whereas outside these areas this probability may be very small. A si...

Research paper thumbnail of Reviewer

— The basic notion of free flight is that aircrews obtain the freedom to select their trajectory ... more — The basic notion of free flight is that aircrews obtain the freedom to select their trajectory including the responsibility of resolving conflicts with other aircraft. Under low en-route traffic loads there is general agreement that free flight can be safely applied. Under increasing traffic loads, however, the answer to this question becomes unknown. Free flight would change ATM in such a fundamental way, that one can speak of a paradigm shift and that comes with emerging behavior, i.e. novel behavior which is exhibited at the system-wide level and emerges from the combined dynamical actions and reactions by individual systems and humans that affect the operations. Because emerging behavior cannot be predicted from previous experience, we need a complementary approach in estimating the safety of free flight under relatively high traffic levels. This paper explains how recently developed methods in Petri net specification and sequential Monte Carlo simulation can be used to make p...

Research paper thumbnail of Probabilistic wake vortex induced accident risk assessment, 3 rd USA/Europe Air Traffic Management R&D Seminar, FAA/Eurocontrol

The contents of this report may be cited on condition that full credit is given to NLR and the au... more The contents of this report may be cited on condition that full credit is given to NLR and the authors. Division:

Research paper thumbnail of Authors M.H.C. Everdij NLR

Research paper thumbnail of NLR-TP-2009-194 Systemic Accident Risk Assessment in Air Traffic by Monte Carlo Simulation

Problem area Air traffic risk assessments have predominantly been done by sequential and epidemio... more Problem area Air traffic risk assessments have predominantly been done by sequential and epidemiological accident models, such as fault and event trees. These types of models have limitations in representing dependent dynamics in air traffic scenarios. A systemic accident model considers accidents as emergent phenomena from variability and interactions in a complex system. As such it is better suited for risk assessment of complex scenarios in air traffic.

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