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ORCIDChris M. J. Tampère
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2020 – today
- 2023
[c17]Mohammad Ali Arman
, Chris M. J. Tampère:
Accurate Segment Travel Time Estimation Based on Individual Vehicle Data. ITSC 2023: 1616-1621- [c16]Anne van der Heide, Chris M. J. Tampère, Mike Nicolai:
Deep Learning Highway Traffic Scenario Construction with Trajectory Generators. IV 2023: 1-8 - [c15]Maarten Wens, Mohammad Ali Arman, Ismail M. Abuamer, Chris M. J. Tampère, Pieter Vansteenwegen:
Differences in Optimised Trajectories Under Selfish and collaborative Behaviour of multi-class Freeway Traffic. MT-ITS 2023: 1-6 - 2022
- [j10]Jeroen Verstraete, Chris M. J. Tampère:
Consistent iterative algorithm for stochastic dynamic traffic assignment with a stable route set. Comput. Aided Civ. Infrastructure Eng. 37(10): 1223-1242 (2022) - [j9]Elina Avila-Ordóñez, Chris M. J. Tampère, Pablo Vanegas Peralta, Pieter Vansteenwegen:
The design of a flexible bus line plan. Expert Syst. Appl. 203: 117352 (2022) - [j8]Lieven Raes, Philippe Michiels, Thomas Adolphi, Chris M. J. Tampère, Athanasios Dalianis, Susie Ruston McAleer, Pavel Kogut:
DUET: A Framework for Building Interoperable and Trusted Digital Twins of Smart Cities. IEEE Internet Comput. 26(3): 43-50 (2022) - [j7]Paul Ortmann, Chris M. J. Tampère:
dyntapy: dynamic and static traffic assignment in Python. J. Open Source Softw. 7(78): 4593 (2022) - 2020
- [c14]Mohammad Ali Arman, Chris M. J. Tampère:
Road centreline and lane reconstruction from pervasive GPS tracking on motorways. ANT/EDI40 2020: 434-441
2010 – 2019
- 2019
- [c13]Willem W. E. Himpe, Romain Ginestou, Chris M. J. Tampère:
High Performance Computing applied to Dynamic Traffic Assignment. ANT/EDI40 2019: 409-416 - 2017
- [j6]Angel J. Lopez, Paola Astegiano, Sidharta Gautama, Daniel Ochoa, Chris M. J. Tampère, Carolien Beckx:
Unveiling E-Bike Potential for Commuting Trips from GPS Traces. ISPRS Int. J. Geo Inf. 6(7): 190 (2017) - [c12]Farzad Fakhraei Roudsari, Chris M. J. Tampère:
Exploring sensitivity-based clustering of OD variables in dynamic demand calibration. MT-ITS 2017: 345-350 - 2016
- [j5]Mohammad Hajiahmadi, Goof S. van de Weg, Chris M. J. Tampère, Ruben Corthout, Andreas Hegyi, Bart De Schutter, Hans Hellendoorn:
Integrated Predictive Control of Freeway Networks Using the Extended Link Transmission Model. IEEE Trans. Intell. Transp. Syst. 17(1): 65-78 (2016) - 2015
- [c11]Bart Wolput, Chris M. J. Tampère, Eleni Christofa:
A New Stochastic Mesomodel for Optimizing Multi-modal Signal Settings for Networks. ITSC 2015: 1690-1695 - [c10]Rodrigo Rezende Amaral, El-Houssaine Aghezzaf, Marco Rinaldi, Willem W. E. Himpe, Pieter Vansteenwegen, Chris M. J. Tampère:
An Integrated Perspective on Traffic Management and Logistic Optimization. ITSC 2015: 2166-2171 - [c9]Wei Huang, Chris M. J. Tampère, Francesco Viti:
An integrated approach to apdative anticipatory traffic control and parameter estimation. MT-ITS 2015: 148-155 - [c8]Guido Cantelmo, Francesco Viti, Marco Rinaldi, Chris M. J. Tampère, Michael J. Smith, Klaus Nokel:
Systematic assessment of local & global signal control policies: A methodological perspective. MT-ITS 2015: 156-163 - 2014
- [j4]Francesco Viti, Chris M. J. Tampère:
Editorial: Models and Technologies for Intelligent Transportation Systems: New Challenges and Metaheuristic Solutions for Large-Scale Network Applications. J. Intell. Transp. Syst. 18(1): 1-4 (2014) - [j3]Rodric Frederix, Francesco Viti, Willem W. E. Himpe, Chris M. J. Tampère:
Dynamic Origin-Destination Matrix Estimation on Large-Scale Congested Networks Using a Hierarchical Decomposition Scheme. J. Intell. Transp. Syst. 18(1): 51-66 (2014) - [j2]Willem W. E. Himpe, Chris M. J. Tampère, Bieke Moelans:
A Parsimonious Method for Offline Freeway Travel Time Estimation From Sectional Speed Detectors. J. Intell. Transp. Syst. 18(1): 67-80 (2014) - 2013
- [c7]Marco Rinaldi, Chris M. J. Tampère, Willem W. E. Himpe, Tom Holvoet:
Centralized and decomposed anticipatory Model Predictive Control for network-wide Ramp Metering. ITSC 2013: 461-467 - [c6]Wei Huang, Francesco Viti, Chris M. J. Tampère:
An iterative learning approach for signal control in urban traffic networks. ITSC 2013: 468-473 - [c5]Willem W. E. Himpe, Ruben Corthout, Chris M. J. Tampère:
An implicit solution scheme for the Link Transmission Model. ITSC 2013: 572-577 - 2011
- [c4]Rodric Frederix, Francesco Viti, Chris M. J. Tampère:
A hierarchical approach for dynamic origin-destination matrix estimation on large-scale congested networks. ITSC 2011: 1543-1548 - 2010
- [c3]Ruben Corthout, Chris M. J. Tampère, Patrick Deknudt:
Assessment of Variable Speed Limits from the drivers' perspective. ITSC 2010: 499-506 - [c2]Rodric Frederix, Francesco Viti, Chris M. J. Tampère:
A density-based dynamic OD estimation method that reproduces within-day congestion dynamics. ITSC 2010: 694-699
2000 – 2009
- 2009
- [j1]Chris M. J. Tampère, Serge P. Hoogendoorn, Bart van Arem:
Continuous Traffic Flow Modeling of Driver Support Systems in Multiclass Traffic With Intervehicle Communication and Drivers in the Loop. IEEE Trans. Intell. Transp. Syst. 10(4): 649-657 (2009) - 2007
- [c1]Chris M. J. Tampère, L. H. Immers:
An Extended Kalman Filter Application for Traffic State Estimation Using CTM with Implicit Mode Switching and Dynamic Parameters. ITSC 2007: 209-216
Coauthor Index
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