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J.W.C. van Lint
J.W.C. van Lint
Professor of Traffic Simulation and Computing
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
Accurate freeway travel time prediction with state-space neural networks under missing data
JWC Van Lint, SP Hoogendoorn, HJ van Zuylen
Transportation Research Part C: Emerging Technologies 13 (5-6), 347-369, 2005
5292005
Travel time unreliability on freeways: Why measures based on variance tell only half the story
JWC Van Lint, HJ Van Zuylen, H Tu
Transportation Research Part A: Policy and Practice 42 (1), 258-277, 2008
3672008
Freeway travel time prediction with state-space neural networks: Modeling state-space dynamics with recurrent neural networks
JWC Van Lint, SP Hoogendoorn, HJ van Zuylen
Transportation Research Record 1811 (1), 30-39, 2002
2902002
Short-term traffic and travel time prediction models
JWC Van Lint, C Van Hinsbergen
Artificial Intelligence Applications to Critical Transportation Issues 22 (1 …, 2012
2512012
Monitoring and predicting freeway travel time reliability: Using width and skew of day-to-day travel time distribution
JWC Van Lint, HJ van Zuylen
Transportation Research Record 1917 (1), 54-62, 2005
2452005
Genealogy of traffic flow models
F van Wageningen-Kessels, H Van Lint, K Vuik, S Hoogendoorn
EURO Journal on Transportation and Logistics 4 (4), 445-473, 2015
2442015
Online learning solutions for freeway travel time prediction
JWC Van Lint
IEEE Transactions on Intelligent Transportation Systems 9 (1), 38-47, 2008
2382008
Real-time Lagrangian traffic state estimator for freeways
Y Yuan, JWC Van Lint, RE Wilson, F van Wageningen-Kessels, ...
IEEE Transactions on Intelligent Transportation Systems 13 (1), 59-70, 2012
2282012
A robust and efficient method for fusing heterogeneous data from traffic sensors on freeways
JWC Van Lint, SP Hoogendoorn
Computer‐Aided Civil and Infrastructure Engineering 25 (8), 596-612, 2010
2122010
Reliable travel time prediction for freeways
JWC Van Lint
Netherlands TRAIL Research School, 2004
1982004
Improving a travel-time estimation algorithm by using dual loop detectors
JWC Van Lint, NJ Van der Zijpp
Transportation Research Record 1855 (1), 41-48, 2003
1902003
Routing strategies based on macroscopic fundamental diagram
VL Knoop, SP Hoogendoorn, JWC Van Lint
Transportation Research Record 2315 (1), 1-10, 2012
1832012
Bayesian committee of neural networks to predict travel times with confidence intervals
CPIJ Van Hinsbergen, JWC Van Lint, HJ Van Zuylen
Transportation Research Part C: Emerging Technologies 17 (5), 498-509, 2009
1732009
Short term traffic prediction models
CP Van Hinsbergen, JW Van Lint, FM Sanders
PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS …, 2007
1662007
Prediction intervals to account for uncertainties in travel time prediction
A Khosravi, E Mazloumi, S Nahavandi, D Creighton, JWC Van Lint
IEEE Transactions on Intelligent Transportation Systems 12 (2), 537-547, 2011
1652011
Fastlane: New multiclass first-order traffic flow model
JWC Van Lint, SP Hoogendoorn, M Schreuder
Transportation Research Record 2088 (1), 177-187, 2008
1542008
Predicting urban arterial travel time with state-space neural networks and Kalman filters
H Liu, H Van Zuylen, H Van Lint, M Salomons
Transportation Research Record 1968 (1), 99-108, 2006
1532006
Will automated vehicles negatively impact traffic flow?
SC Calvert, WJ Schakel, JWC Van Lint
Journal of advanced transportation 2017, 2017
1402017
Reliable real-time framework for short-term freeway travel time prediction
JW Van Lint
Journal of transportation engineering 132 (12), 921-932, 2006
1242006
Localized extended kalman filter for scalable real-time traffic state estimation
CPIJ Van Hinsbergen, T Schreiter, FS Zuurbier, JWC Van Lint, ...
IEEE transactions on intelligent transportation systems 13 (1), 385-394, 2011
1202011
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