| 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 | 600 | 2005 |
| 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 | 401 | 2008 |
| Short-term traffic and travel time prediction models JWC Van Lint, C Van Hinsbergen Artificial Intelligence Applications to Critical Transportation Issues 22 (1 …, 2012 | 362 | 2012 |
| 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 | 350 | 2002 |
| 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 | 343 | 2015 |
| 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 | 275 | 2005 |
| Will automated vehicles negatively impact traffic flow? SC Calvert, WJ Schakel, JWC Van Lint Journal of advanced transportation 2017 (1), 3082781, 2017 | 269 | 2017 |
| 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 | 255 | 2012 |
| Online learning solutions for freeway travel time prediction JWC Van Lint IEEE Transactions on Intelligent Transportation Systems 9 (1), 38-47, 2008 | 250 | 2008 |
| 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 | 248 | 2003 |
| 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 | 243 | 2010 |
| Routing strategies based on macroscopic fundamental diagram VL Knoop, SP Hoogendoorn, JWC Van Lint Transportation Research Record 2315 (1), 1-10, 2012 | 215 | 2012 |
| Reliable travel time prediction for freeways JWC Van Lint Netherlands TRAIL Research School, 2004 | 212 | 2004 |
| 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 | 198 | 2011 |
| 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 | 189 | 2009 |
| 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 | 184 | 2007 |
| Fastlane: New multiclass first-order traffic flow model JWC Van Lint, SP Hoogendoorn, M Schreuder Transportation Research Record 2088 (1), 177-187, 2008 | 174 | 2008 |
| 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 | 169 | 2006 |
| 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 | 164 | 2011 |
| Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation C Antoniou, J Barceló, M Breen, M Bullejos, J Casas, E Cipriani, B Ciuffo, ... Transportation Research Part C: Emerging Technologies 66, 79-98, 2016 | 143 | 2016 |
Serge HoogendoornDistinguished Professor Smart Urban Mobility, TU Delft在 tudelft.nl 的电子邮件经过验证