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Analysing the impact of COVID-19 risk perceptions on route choice behaviour in train networks

PloS one, 2022-03, Vol.17 (3), p.e0264805

2022

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Prediction Intervals to Account for Uncertainties in Travel Time Prediction

IEEE transactions on intelligent transportation systems, 2011-06, Vol.12 (2), p.537-547

2011

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Will Automated Vehicles Negatively Impact Traffic Flow?

Journal of advanced transportation, 2017-01, Vol.2017 (2017), p.1-17

2017

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Real-Time Lagrangian Traffic State Estimator for Freeways

IEEE transactions on intelligent transportation systems, 2012-03, Vol.13 (1), p.59-70

2012

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Travel time unreliability on freeways: Why measures based on variance tell only half the story

Transportation research. Part A, Policy and practice, 2008, Vol.42 (1), p.258-277

2008

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A Theoretical Framework for Traffic Speed Estimation by Fusing Low-Resolution Probe Vehicle Data

IEEE transactions on intelligent transportation systems, 2011-09, Vol.12 (3), p.747-756

2011

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Routing Strategies Based on Macroscopic Fundamental Diagram

Transportation research record, 2012-01, Vol.2315 (1), p.1-10

2012

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Accurate freeway travel time prediction with state-space neural networks under missing data

Transportation research. Part C, Emerging technologies, 2005-10, Vol.13 (5), p.347-369

2005

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Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation

IEEE transactions on intelligent transportation systems, 2012-03, Vol.13 (1), p.385-394

2012

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A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction

Transportation research. Part B: methodological, 2018-11, Vol.117, p.63-86

2018

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A generic multi-scale framework for microscopic traffic simulation part II – Anticipation Reliance as compensation mechanism for potential task overload

Transportation research. Part B: methodological, 2020-10, Vol.140, p.42-63

2020

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A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

Transportation research. Part A, Policy and practice, 2022-07, Vol.161, p.130-150

2022

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Evaluating the impact of waiting time reliability on route choice using smart card data

Transportmetrica (Abingdon, Oxfordshire, UK), 2023-03, Vol.19 (2)

2023

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Relationship between Application Scale and Maximum Time Latency in Intelligent Transport Solutions

Transportation research record, 2013-01, Vol.2380 (1), p.1-9

2013

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Improving a Travel-Time Estimation Algorithm by Using Dual Loop Detectors

Transportation research record, 2003, Vol.1855 (1), p.41-48

2003

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A genetic algorithm-based method for improving quality of travel time prediction intervals

Transportation research. Part C, Emerging technologies, 2011-12, Vol.19 (6), p.1364-1376

2011

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Impact of Traffic Flow on Travel Time Variability of Freeway Corridors

Transportation research record, 2007-01, Vol.1993 (1), p.59-66

2007

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Reliable Real-Time Framework for Short-Term Freeway Travel Time Prediction

Journal of transportation engineering, 2006-12, Vol.132 (12), p.921-932

van Lint, J. W.

2006

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Empirical Evaluation of New Robust Travel Time Estimation Algorithms

Transportation research record, 2010-01, Vol.2160 (1), p.50-59

Van Lint, J. W. C. (Hans)

2010

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Application of Principal Component Analysis to Predict Dynamic Origin–Destination Matrices

Transportation research record, 2012-01, Vol.2283 (1), p.81-89

2012

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Fastlane: New Multiclass First-Order Traffic Flow Model

Transportation research record, 2008-01, Vol.2088 (1), p.177-187

2008

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Introduction to the Special Issue on Emergent Cooperative Technologies in Intelligent Transportation Systems

IEEE transactions on intelligent transportation systems, 2012-03, Vol.13 (1), p.1-5

2012

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Bayesian Combination of Travel Time Prediction Models

Transportation research record, 2008-01, Vol.2064 (1), p.73-80

2008

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Bayesian neural networks for the prediction of stochastic travel times in urban networks

IET intelligent transport systems, 2011-12, Vol.5 (4), p.259-265

2011

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How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off

IEEE transactions on intelligent transportation systems, 2024-10, Vol.25 (10), p.14183-14195

2024

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Analysing the impact of COVID-19 risk perceptions on route choice behaviour in train networks

Prediction Intervals to Account for Uncertainties in Travel Time Prediction

Will Automated Vehicles Negatively Impact Traffic Flow?

Real-Time Lagrangian Traffic State Estimator for Freeways

Travel time unreliability on freeways: Why measures based on variance tell only half the story

A Theoretical Framework for Traffic Speed Estimation by Fusing Low-Resolution Probe Vehicle Data

Routing Strategies Based on Macroscopic Fundamental Diagram

Accurate freeway travel time prediction with state-space neural networks under missing data

Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation

A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction

A generic multi-scale framework for microscopic traffic simulation part II – Anticipation Reliance as compensation mechanism for potential task overload

A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

Evaluating the impact of waiting time reliability on route choice using smart card data

Relationship between Application Scale and Maximum Time Latency in Intelligent Transport Solutions

Improving a Travel-Time Estimation Algorithm by Using Dual Loop Detectors

A genetic algorithm-based method for improving quality of travel time prediction intervals

Impact of Traffic Flow on Travel Time Variability of Freeway Corridors

Reliable Real-Time Framework for Short-Term Freeway Travel Time Prediction

Empirical Evaluation of New Robust Travel Time Estimation Algorithms

Application of Principal Component Analysis to Predict Dynamic Origin–Destination Matrices

Fastlane: New Multiclass First-Order Traffic Flow Model

Introduction to the Special Issue on Emergent Cooperative Technologies in Intelligent Transportation Systems

Bayesian Combination of Travel Time Prediction Models

Bayesian neural networks for the prediction of stochastic travel times in urban networks

How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off

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