| Electric bus fleet size and mix problem with optimization of charging infrastructure M Rogge, E Van der Hurk, A Larsen, DU Sauer Applied Energy 211, 282-295, 2018 | 354 | 2018 |
| Deduction of passengers' route choices from smart card data E Van Der Hurk, L Kroon, G Maróti, P Vervest IEEE Transactions on Intelligent Transportation Systems 16 (1), 430-440, 2014 | 84 | 2014 |
| A matheuristic for transfer synchronization through integrated timetabling and vehicle scheduling JP Fonseca, E van der Hurk, R Roberti, A Larsen Transportation Research Part B: Methodological 109, 128-149, 2018 | 83 | 2018 |
| Shuttle planning for link closures in urban public transport networks E Van der Hurk, HN Koutsopoulos, N Wilson, LG Kroon, G Maróti Transportation Science 50 (3), 947-965, 2016 | 65 | 2016 |
| Passenger advice and rolling stock rescheduling under uncertainty for disruption management E Van der Hurk, L Kroon, G Maróti Transportation Science 52 (6), 1391-1411, 2018 | 50 | 2018 |
| Detecting activity patterns from smart card data P Bouman, E Van der Hurk, L Kroon, T Li, P Vervest BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial …, 2013 | 21 | 2013 |
| Passengers, information, and disruptions E van der Hurk | 17 | 2015 |
| Subline frequency setting for autonomous minibusses under demand uncertainty K Gkiotsalitis, M Schmidt, E van der Hurk Transportation Research Part C: Emerging Technologies 135, 103492, 2022 | 16 | 2022 |
| Recognizing demand patterns from smart card data for agent-based micro-simulation of public transport P Bouman, M Lovric, T Li, E Van Der Hurk, L Kroon, P Vervest | 16 | 2012 |
| Dynamic forecast model of time dependent passenger flows for disruption management E Van der Hurk, LG Kroon, G Maróti, P Vervest 12th conference on advanced systems for public transport in Santiago …, 2012 | 12 | 2012 |
| Reducing disease spread through optimization: Limiting mixture of the population is more important than limiting group sizes NCF Bagger, E van der Hurk, R Hoogervorst, D Pisinger Computers & Operations Research 142, 105718, 2022 | 7 | 2022 |
| Train Delay Prediction in the Netherlands through Neural Networks JT Haahr, EO Hellsten, E van der Hurk | 5 | 2019 |
| A matheuristic for passenger service optimization through timetabling with free passenger route choice JP Fonseca, T Zündorf, E van der Hurk, Y Zhu, A Larsen OR Spectrum 44 (4), 1087-1129, 2022 | 3 | 2022 |
| The edge investment problem: Upgrading transit line segments with multiple investing parties R Hoogervorst, E van der Hurk, P Schiewe, A Schöbel, R Urban 22nd Symposium on Algorithmic Approaches for Transportation Modelling …, 2022 | 3 | 2022 |
| The Simultaneous Vehicle Scheduling and Passenger Service Problem with Flexible Dwell Times JFP Fonseca, A Larsen, E van der Hurk, R Roberti, S Rřpke 28th European Conference on Operational Research, 2016 | 3 | 2016 |
| Passenger guidance and rolling stock rescheduling under uncertainty for disruption management E van der Hurk, L Kroon, G Maroti submitted, 2016 | 2 | 2016 |
| The Bus Rapid Transit investment problem R Hoogervorst, E van der Hurk, P Schiewe, A Schöbel, R Urban Computers & Operations Research 167, 106640, 2024 | 1 | 2024 |
| Passenger service optimization through timetabling with free passenger route choice JFP Fonseca, T Zündorf, E van der Hurk, A Larsen | 1 | 2019 |
| Aperiodic public transport timetabling with flexible line plans JFP Fonseca, E van der Hurk, G Mároti, R Roberti 30th European Conference On Operational Research, 2019 | 1 | 2019 |
| Synchronizing transfers through integrated timetabling and vehicle scheduling-an iterative matheuristic approach with public transit traffic assignment JFP Fonseca, E van der Hurk, A Larsen, T Zündorf 29th European Conference On Operational Research, 2018 | 1 | 2018 |
Leo KroonProfessor of Quantitative Logistics - Rotterdam School of ManagementVerified email at rsm.nl
