Review of energy-efficient train control and timetabling GM Scheepmaker, RMP Goverde, LG Kroon European Journal of Operational Research 257 (2), 355-376, 2017 | 394 | 2017 |
Railway timetable stability analysis using max-plus system theory RMP Goverde Transportation Research Part B: Methodological 41 (2), 179-201, 2007 | 354 | 2007 |
Recent applications of big data analytics in railway transportation systems: A survey F Ghofrani, Q He, RMP Goverde, X Liu Transportation Research Part C: Emerging Technologies 90, 226-246, 2018 | 321 | 2018 |
A delay propagation algorithm for large-scale railway traffic networks RMP Goverde Transportation Research Part C: Emerging Technologies 18 (3), 269-287, 2010 | 271 | 2010 |
A multi-state train-following model for the analysis of virtual coupling railway operations E Quaglietta, M Wang, RMP Goverde Journal of Rail Transport Planning & Management 15, 100195, 2020 | 166 | 2020 |
Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions RMP Goverde, F Corman, A D’Ariano Journal of rail transport planning & management 3 (3), 78-94, 2013 | 155 | 2013 |
An integrated micro–macro approach to robust railway timetabling N Bešinović, RMP Goverde, E Quaglietta, R Roberti Transportation Research Part B: Methodological 87, 14-32, 2016 | 145 | 2016 |
Multiple-phase train trajectory optimization with signalling and operational constraints P Wang, RMP Goverde Transportation Research Part C: Emerging Technologies 69, 255-275, 2016 | 144 | 2016 |
Multi-train trajectory optimization for energy-efficient timetabling P Wang, RMP Goverde European Journal of Operational Research 272 (2), 621-635, 2019 | 141 | 2019 |
Predictive modelling of running and dwell times in railway traffic P Kecman, RMP Goverde Public Transport 7, 295-319, 2015 | 136 | 2015 |
A three-level framework for performance-based railway timetabling RMP Goverde, N Bešinović, A Binder, V Cacchiani, E Quaglietta, ... Transportation Research Part C: Emerging Technologies 67, 62-83, 2016 | 122 | 2016 |
Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions Y Zhu, RMP Goverde Transportation Research Part B: Methodological 123, 149-181, 2019 | 121 | 2019 |
Performance indicators for railway timetables RMP Goverde, IA Hansen 2013 IEEE International Conference on intelligent rail transportation …, 2013 | 118 | 2013 |
A literature review of Artificial Intelligence applications in railway systems R Tang, L De Donato, N Besinović, F Flammini, RMP Goverde, Z Lin, ... Transportation Research Part C: Emerging Technologies 140, 103679, 2022 | 115 | 2022 |
Multi-train trajectory optimization for energy efficiency and delay recovery on single-track railway lines P Wang, RMP Goverde Transportation Research Part B: Methodological 105, 340-361, 2017 | 109 | 2017 |
Modeling railway disruption lengths with Copula Bayesian Networks AA Zilko, D Kurowicka, RMP Goverde Transportation Research Part C: Emerging Technologies 68, 350-368, 2016 | 106 | 2016 |
Online data-driven adaptive prediction of train event times P Kecman, RMP Goverde IEEE Transactions on Intelligent Transportation Systems 16 (1), 465-474, 2014 | 105 | 2014 |
Online train delay recognition and running time prediction IA Hansen, RMP Goverde, DJ van der Meer 13th International IEEE Conference on Intelligent Transportation Systems …, 2010 | 105 | 2010 |
Rescheduling models for railway traffic management in large-scale networks P Kecman, F Corman, A D’Ariano, RMP Goverde Public Transport 5, 95-123, 2013 | 104 | 2013 |
The interplay between energy-efficient train control and scheduled running time supplements GM Scheepmaker, RMP Goverde Journal of Rail Transport Planning & Management 5 (4), 225-239, 2015 | 97 | 2015 |