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ORCIDJ. W. C. van Lint
Hans van Lint
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- affiliation: Delft University of Technology, Delft, The Netherlands
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2020 – today
- 2024
[j24]Zili Wang, Panchamy Krishnakumari, Kumar Anupam, Hans van Lint
, Sandra Erkens:
A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling. Comput. Aided Civ. Infrastructure Eng. 39(19): 2861-2880 (2024)- [j23]Guopeng Li, Zirui Li, Victor L. Knoop, J. W. C. van Lint:
How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off. IEEE Trans. Intell. Transp. Syst. 25(10): 14183-14195 (2024) - [c41]Yiru Jiao, Simeon C. Calvert, Hans van Lint:
Minimising Missed and False Alarms: A Vehicle Spacing based Approach to Conflict Detection. IV 2024: 1982-1987 - [c40]Kexin Liang, Simeon C. Calvert, Sina Nordhoff, Hans van Lint:
Examining the Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory. IV 2024: 2989-2994 - [i8]Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint:
A unified theory and statistical learning approach for traffic conflict detection. CoRR abs/2407.10959 (2024) - 2023
- [c39]Yiru Jiao, Simeon C. Calvert, Hans van Lint, Sander van Cranenburgh:
Identifying Vehicle Interaction at Urban Intersections: A Comparison of Proximity Resistance, Time-to-Collision, and Post-Encroachment-Time. ITSC 2023: 973-978 - [c38]Mahsa Movaghar, Saman Behrouzi, Panchamy Krishnakumari, Serge P. Hoogendoorn, Hans van Lint:
Exploring and Enriching the Effect of Different Road Incidents on Traffic Spatiotemporal Characteristics. ITSC 2023: 4018-4024 - [c37]Guopeng Li, Yiru Jiao, Victor L. Knoop, Simeon C. Calvert, J. W. C. van Lint:
Large Car-Following Data Based on Lyft Level-5 Open Dataset: Following Autonomous Vehicles vs. Human-Driven Vehicles. ITSC 2023: 5818-5823 - [i7]Guopeng Li, Yiru Jiao, Victor L. Knoop, Simeon C. Calvert, J. W. C. van Lint:
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles. CoRR abs/2305.18921 (2023) - [i6]Guopeng Li, Yiru Jiao, Simeon C. Calvert, J. W. C. van Lint:
A Comparative Conflict Resolution Dataset Derived from Argoverse-2: Scenarios with vs. without Autonomous Vehicles. CoRR abs/2308.13839 (2023) - [i5]Guopeng Li, Victor L. Knoop, J. W. C. van Lint:
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? CoRR abs/2310.20366 (2023) - [i4]Ali Nadi, Lóránt Antal Tavasszy, J. W. C. van Lint, Maaike Snelder:
Spatial and Temporal Characteristics of Freight Tours: A Data-Driven Exploratory Analysis. CoRR abs/2311.15287 (2023) - [i3]Ali Nadi, Maaike Snelder, J. W. C. van Lint, Lóránt Antal Tavasszy:
A Data-driven and multi-agent decision support system for time slot management at container terminals: A case study for the Port of Rotterdam. CoRR abs/2311.15298 (2023) - [i2]Tin T. Nguyen, Simeon C. Calvert, Guopeng Li, Hans van Lint:
Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features. CoRR abs/2311.17256 (2023) - 2022
- [j22]Salil Sharma, Hans van Lint, Lóránt Antal Tavasszy, Maaike Snelder:
Unraveling Gap Selection Process During Discretionary Lane Changing by Vehicle Class. IEEE Access 10: 30643-30654 (2022) - [j21]Salil Sharma, Ehab Al-Khannaq, Raphael Riebl, Wouter J. Schakel, Peter Knoppers, Alexander Verbraeck, Hans van Lint:
Impact of radio channel characteristics on the longitudinal behaviour of truck platoons in critical car-following situations. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 80 (2022) - [j20]Xiao Lin, Ludovic Leclercq, Lóránt Antal Tavasszy, Hans van Lint:
Formulating multi-class user equilibrium using mixed-integer linear programming. EURO J. Transp. Logist. 11: 100097 (2022) - [j19]Gerhard Huber, Klaus Bogenberger, Hans van Lint:
Optimization of Charging Strategies for Battery Electric Vehicles Under Uncertainty. IEEE Trans. Intell. Transp. Syst. 23(2): 760-776 (2022) - [j18]Tin T. Nguyen, Simeon C. Calvert, Hai Le Vu, Hans van Lint:
An Automated Detection Framework for Multiple Highway Bottleneck Activations. IEEE Trans. Intell. Transp. Syst. 23(6): 5678-5692 (2022) - [j17]Salil Sharma, Ioannis Papamichail, Ali Nadi, Hans van Lint, Lóránt Antal Tavasszy, Maaike Snelder:
A Multi-Class Lane-Changing Advisory System for Freeway Merging Sections Using Cooperative ITS. IEEE Trans. Intell. Transp. Syst. 23(9): 15121-15132 (2022) - [c36]Z. Wang, P. Krishnakumari, K. Anupam, J. W. C. van Lint, S. M. J. G. Erkens:
Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics. ITSC 2022: 3609-3616 - 2021
- [j16]Viktoriya Degeler, Léonie Heydenrijk-Ottens, Ding Luo, Niels van Oort, Hans van Lint:
Unsupervised approach towards analysing the public transport bunching swings formation phenomenon. Public Transp. 13(3): 533-555 (2021) - [i1]Panchamy Krishnakumari, Oded Cats, Hans van Lint:
Day-to-day and seasonal regularity of network passenger delay for metro networks. CoRR abs/2107.14094 (2021) - 2020
- [j15]Panchamy Krishnakumari, Oded Cats, Hans van Lint:
Heuristic Coarsening for Generating Multiscale Transport Networks. IEEE Trans. Intell. Transp. Syst. 21(6): 2240-2253 (2020) - [c35]Ehab Nabiel Alkhanak, Saif Ur Rehman Khan, Alexander Verbraeck, Hans van Lint:
A Conceptual Framework Supporting Pattern Design Selection for Scientific Workflow Applications in Cloud Computing. CLOSER 2020: 229-236 - [c34]Guopeng Li, Victor L. Knoop, Hans van Lint:
Dynamic Graph Filters Networks: A Gray-box Model for Multistep Traffic Forecasting. ITSC 2020: 1-6 - [c33]Ali Nadi, Hans van Lint, Lóránt Antal Tavasszy, Maaike Snelder:
Identifying tour structures in freight transport by mining of large trip databases.*. ITSC 2020: 1-7
2010 – 2019
- 2019
- [c32]Salil Sharma, Maaike Snelder, Hans van Lint:
Deriving on-trip route choices of truck drivers by utilizing Bluetooth data, loop detector data and variable message sign data. MT-ITS 2019: 1-8 - [c31]Sanmay Shelat, Oded Cats, Niels van Oort, Hans van Lint:
Calibrating Route Choice Sets for an Urban Public Transport Network using Smart Card Data. MT-ITS 2019: 1-8 - 2018
- [j14]Vítor Cerqueira, Luís Moreira-Matias, Jihed Khiari, Hans van Lint:
On Evaluating Floating Car Data Quality for Knowledge Discovery. IEEE Trans. Intell. Transp. Syst. 19(11): 3749-3760 (2018) - [c30]Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans van Lint:
Understanding Network Traffic States using Transfer Learning. ITSC 2018: 1396-1401 - 2017
- [c29]Hans van Lint, Simeon C. Calvert, Wouter J. Schakel, Meng Wang, Alexander Verbraeck:
Exploring the Effects of Perception Errors and Anticipation Strategies on Traffic Accidents - A Simulation Study. AHFE (7) 2017: 249-261 - [c28]J. P. van der Vliet, Adam J. Pel, J. W. C. van Lint:
Enriched travel demand estimation by including zonal and traveler characteristics and their relationships. MT-ITS 2017: 351-355 - [c27]Ding Luo, Oded Cats, Hans van Lint:
Analysis of network-wide transit passenger flows based on principal component analysis. MT-ITS 2017: 744-749 - 2016
- [c26]Hong Nam Nguyen, Panchamy Krishnakumari, Hai Le Vu, Hans van Lint:
Traffic COngestion pattern classification using multi-class SVM. ITSC 2016: 1059-1064 - [c25]Maryam Haghighat, Manoj K. Panda, Hai Le Vu, Hans van Lint:
Large-scale congestion analysis using compressed measurements. ITSC 2016: 1684-1691 - 2015
- [j13]Femke van Wageningen-Kessels, Hans van Lint, Kees Vuik, Serge P. Hoogendoorn:
Genealogy of traffic flow models. EURO J. Transp. Logist. 4(4): 445-473 (2015) - [j12]Alexandros E. Papacharalampous, Stefan Hovelynck, Oded Cats, J. W. Lankhaar, Winnie Daamen, Niels van Oort, J. W. C. van Lint:
Multi-Modal Data Fusion for Big Events [Research News]. IEEE Intell. Transp. Syst. Mag. 7(4): 5-10 (2015) - [c24]Yufei Yuan, Friso Scholten, Hans van Lint:
Efficient Traffic State Estimation and Prediction Based on the Ensemble Kalman Filter with a Fast Implementation and Localized Deterministic Scheme. ITSC 2015: 477-482 - 2014
- [j11]Bart van Arem, Hans van Lint, Andreas Hegyi, Pieter Leo:
2013 IEEE Intelligent Transportation Systems Conference - Report: Future of Transport Discussed in Stately Dutch Heritage Site [Conference Report]. IEEE Intell. Transp. Syst. Mag. 6(2): 76-79 (2014) - [j10]Yufei Yuan, Hans van Lint, Femke van Wageningen-Kessels, Serge P. Hoogendoorn:
Network-Wide Traffic State Estimation Using Loop Detector and Floating Car Data. J. Intell. Transp. Syst. 18(1): 41-50 (2014) - [c23]Guus Tamminga, Peter Knoppers, J. W. C. van Lint:
Open Traffic: A Toolbox for Traffic Research. ANT/SEIT 2014: 788-795 - [c22]Hans van Lint, Ramon L. Landman, Yufei Yuan, Chris P. IJ. van Hinsbergen, Serge P. Hoogendoorn:
Traffic monitoring for coordinated traffic management - Experiences from the field trial integrated traffic management in Amsterdam. ITSC 2014: 477-482 - 2013
- [j9]Helmut Prendinger, Kugamoorthy Gajananan, Ahmed Bayoumy Zaki, Ahmed Fares, Reinaert Molenaar, Daniel Urbano, Hans van Lint, Walid Gomaa:
Tokyo Virtual Living Lab: Designing Smart Cities Based on the 3D Internet. IEEE Internet Comput. 17(6): 30-38 (2013) - [c21]Adam Malcontenti-Wilson, Hai Le Vu, Peter Cadusch, Philip Branch, Hans van Lint, Serge P. Hoogendoorn:
Exploring urban traffic flow dynamics. ITSC 2013: 35-40 - [c20]Mahtab Joueiai, Hans van Lint, Serge P. Hoogendoorn:
Generic solutions for consistency problems in multi-scale traffic flow models - Analysis and preliminary results. ITSC 2013: 310-315 - [c19]Wouter J. Schakel, Bart van Arem, Hans van Lint, Guus Tamminga:
A modular approach for exchangeable driving task models in a microscopic simulation framework. ITSC 2013: 565-571 - 2012
- [j8]Miguel Ángel Sotelo, J. W. C. van Lint, Urbano Nunes, Ljubo B. Vlacic, Mashrur Chowdhury:
Introduction to the Special Issue on Emergent Cooperative Technologies in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 13(1): 1-5 (2012) - [j7]Yufei Yuan, J. W. C. van Lint, R. Eddie Wilson, Femke van Wageningen-Kessels, Serge P. Hoogendoorn:
Real-Time Lagrangian Traffic State Estimator for Freeways. IEEE Trans. Intell. Transp. Syst. 13(1): 59-70 (2012) - [j6]Chris P. IJ. van Hinsbergen, Thomas Schreiter, Frank S. Zuurbier, J. W. C. van Lint, Henk J. van Zuylen:
Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation. IEEE Trans. Intell. Transp. Syst. 13(1): 385-394 (2012) - [c18]Eurico Doirado, Mignon van den Berg, Hans van Lint, Serge P. Hoogendoorn, Helmut Prendinger:
Everscape: the making of a disaster evacuation experience. CHI Extended Abstracts 2012: 2285-2290 - [c17]Tamara Djukic, Gunnar Flötteröd, Hans van Lint, Serge P. Hoogendoorn:
Efficient real time OD matrix estimation based on Principal Component Analysis. ITSC 2012: 115-121 - [c16]Thomas Schreiter, Adam J. Pel, Hans van Lint, Serge P. Hoogendoorn:
Modeling monetary costs of multi-class traffic flow - Application to the dynamic management of truck lanes. ITSC 2012: 1233-1238 - 2011
- [j5]Hans van Lint, Geoff Rose, Masao Kuwahara:
Introduction. Comput. Aided Civ. Infrastructure Eng. 26(6): 407 (2011) - [j4]Abbas Khosravi, Ehsan Mazloumi, Saeid Nahavandi, Douglas C. Creighton, J. W. C. van Lint:
Prediction Intervals to Account for Uncertainties in Travel Time Prediction. IEEE Trans. Intell. Transp. Syst. 12(2): 537-547 (2011) - [j3]Qing Ou, Robert L. Bertini, Hans van Lint, Serge P. Hoogendoorn:
A Theoretical Framework for Traffic Speed Estimation by Fusing Low-Resolution Probe Vehicle Data. IEEE Trans. Intell. Transp. Syst. 12(3): 747-756 (2011) - [c15]Yufei Yuan, J. W. C. van Lint, Serge P. Hoogendoorn, Jos L. M. Vrancken, Thomas Schreiter:
Freeway traffic state estimation using extended Kalman filter for first-order traffic model in Lagrangian coordinates. ICNSC 2011: 121-126 - [c14]Thomas Schreiter, Hans van Lint, Serge P. Hoogendoorn:
Multi-class ramp metering: Concepts and initial results. ITSC 2011: 885-889 - 2010
- [j2]J. W. C. van Lint, Serge P. Hoogendoorn:
A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways. Comput. Aided Civ. Infrastructure Eng. 25(8): 596-612 (2010) - [c13]Qing Ou, J. W. C. van Lint, Serge P. Hoogendoorn:
An integrated algorithm for fusing travel times, local speed and flow. FUSION 2010: 1-8 - [c12]Yufei Yuan, Hans van Lint, Thomas Schreiter, Serge P. Hoogendoorn, Jos L. M. Vrancken:
Automatic speed-bias correction with flow-density relationships. ICNSC 2010: 1-7 - [c11]Alexander Bigazzi, J. W. C. van Lint, Gerdien Klunder, Uilke Stelwagen, Norbert Ligterink:
Traffic data for local emissions monitoring at a signalized intersection. ITSC 2010: 210-215 - [c10]Chris P. I. J. van Hinsbergen, Thomas Schreiter, Frank S. Zuurbier, J. W. C. van Lint, Henk J. van Zuylen:
Fast traffic state estimation with the localized Extended Kalman Filter. ITSC 2010: 917-922 - [c9]Qing Ou, J. W. C. van Lint, Serge P. Hoogendoorn:
TravRes: A method for high-resolution traffic speed reconstruction using GPS-based travel-times. ITSC 2010: 1195-1201 - [c8]Thomas Schreiter, Hans van Lint, Martin Treiber, Serge P. Hoogendoorn:
Two fast implementations of the Adaptive Smoothing Method used in highway traffic state estimation. ITSC 2010: 1202-1208 - [c7]Simeon C. Calvert, J. W. C. van Lint, Serge P. Hoogendoorn:
A hybrid travel time prediction framework for planned motorway roadworks. ITSC 2010: 1770-1776 - [p1]Qing Ou, Hans van Lint, Serge P. Hoogendoorn:
Fusing Heterogeneous and Unreliable Data from Traffic Sensors. Interactive Collaborative Information Systems 2010: 511-545
2000 – 2009
- 2008
- [j1]J. W. C. van Lint:
Online Learning Solutions for Freeway Travel Time Prediction. IEEE Trans. Intell. Transp. Syst. 9(1): 38-47 (2008) - [c6]Chris P. IJ. van Hinsbergen, Hans van Lint, Henk J. van Zuylen:
Neural Network Committee to Predict Travel Times: Comparison of Bayesian Evidence Approach to the Use of a Validation Set. ITSC 2008: 73-78 - [c5]Huizhao Tu, Hans van Lint, Henk J. van Zuylen:
The Effects of Traffic Accidents on Travel Time Reliability. ITSC 2008: 79-84 - 2006
- [c4]Huizhao Tu, Hans van Lint, Henk J. van Zuylen:
Travel Time Variability versus Freeway Characteristics. ITSC 2006: 383-388 - [c3]Hao Liu, Hans van Lint, Henk J. van Zuylen, Ke Zhang:
Two distinct ways of using kalman filters to predict urban arterial travel time. ITSC 2006: 845-850 - [c2]J. W. C. van Lint:
Incremental and online learning through extended kalman filtering with constraint weights for freeway travel time prediction. ITSC 2006: 1041-1046 - 2002
- [c1]Hans van Lint, Serge P. Hoogendoorn, Henk J. van Zuylen:
State Space Neural Networks for Freeway Travel Time Prediction. ICANN 2002: 1043-1048
Coauthor Index
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last updated on 2024-10-23 20:30 CEST by the dblp team
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