| The link transmission model for dynamic network loading I Yperman | 322 | 2007 |
| A generic class of first order node models for dynamic macroscopic simulation of traffic flows CMJ Tampère, R Corthout, D Cattrysse, LH Immers Transportation Research Part B: Methodological 45 (1), 289-309, 2011 | 294 | 2011 |
| An extended Kalman filter application for traffic state estimation using CTM with implicit mode switching and dynamic parameters CMJ Tampère, LH Immers 2007 IEEE Intelligent Transportation Systems Conference, 209-216, 2007 | 134 | 2007 |
| Assessing partial observability in network sensor location problems F Viti, M Rinaldi, F Corman, CMJ Tampère Transportation research part B: methodological 70, 65-89, 2014 | 109 | 2014 |
| DUET: A framework for building interoperable and trusted digital twins of smart cities L Raes, P Michiels, T Adolphi, C Tampere, A Dalianis, S McAleer, P Kogut IEEE Internet Computing 26 (3), 43-50, 2021 | 90 | 2021 |
| Dynamic origin–destination estimation in congested networks: theoretical findings and implications in practice R Frederix, F Viti, CMJ Tampère Transportmetrica A: Transport Science 9 (6), 494-513, 2013 | 88 | 2013 |
| Methodology for identifying vulnerable sections in a national road network CMJ Tampere, J Stada, B Immers, E Peetermans, K Organe Transportation Research Record 2012 (1), 1-10, 2007 | 86 | 2007 |
| New gradient approximation method for dynamic origin–destination matrix estimation on congested networks R Frederix, F Viti, R Corthout, CMJ Tampère Transportation Research Record 2263 (1), 19-25, 2011 | 79 | 2011 |
| An efficient iterative link transmission model W Himpe, R Corthout, MJC Tampère Transportation Research Part B: Methodological 92, 170-190, 2016 | 72 | 2016 |
| Multicommodity link transmission model for dynamic network loading I Yperman, S Logghe, CMJ Tampere, B Immers Transportation Research Board 85th Annual MeetingTransportation Research Board, 2006 | 67 | 2006 |
| Non-unique flows in macroscopic first-order intersection models R Corthout, G Flötteröd, F Viti, CMJ Tampère Transportation Research Part B: Methodological 46 (3), 343-359, 2012 | 62 | 2012 |
| Human-kinetic multiclass traffic flow theory and modelling. With application to advanced driver assistance systems in congestion CMJ Tampère Delft University of Technology, 2004 | 61 | 2004 |
| A behavioural approach to instability, stop and go waves, wide jams and capacity drop C Tampere, S Hoogendoorn, B Van Arem Transportation and traffic theory 16, 205-228, 2005 | 56 | 2005 |
| Modelling traffic flows with intelligent cars and intelligent roads B Van Arem, CMJ Tampere, KM Malone IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No. 03TH8683 …, 2003 | 52 | 2003 |
| Unveiling e-bike potential for commuting trips from GPS traces AJ Lopez, P Astegiano, S Gautama, D Ochoa, CMJ Tampère, C Beckx ISPRS International Journal of Geo-Information 6 (7), 190, 2017 | 51 | 2017 |
| Human-kinetic multiclass traffic flow theory and modelling CMJ Tampère Civil Engineering and Geosciences, Department Transport & Planning, 309, 2004 | 51 | 2004 |
| Sensor locations for reliable travel time prediction and dynamic management of traffic networks F Viti, W Verbeke, CMJ Tampère Transportation Research Record 2049 (1), 103-110, 2008 | 46 | 2008 |
| Gas-kinetic traffic flow modeling including continuous driver behavior models CMJ Tampère, B Van Arem, SP Hoogendoorn Transportation research record 1852 (1), 231-238, 2003 | 45 | 2003 |
| Continuous traffic flow modeling of driver support systems in multiclass traffic with intervehicle communication and drivers in the loop CMJ Tampere, SP Hoogendoorn, B Van Arem IEEE transactions on intelligent transportation systems 10 (4), 649-657, 2009 | 42 | 2009 |
| Macroscopic effects of reaction time on traffic flow characteristics D Ngoduy, C Tampere Physica Scripta 80 (2), 025802, 2009 | 42 | 2009 |
Francesco VitiUniversity of LuxembourgEmail verificata su uni.lu
