| Some influencing factors for passenger train punctuality in Sweden CW Palmqvist, N Olsson, L Hiselius International Journal of Prognostics and Health Management 8 (Special Issue …, 2017 | 35 | 2017 |
| The passenger’s influence on dwell times at station platforms: a literature review RA Kuipers, CW Palmqvist, NOE Olsson, L Winslott Hiselius Transport Reviews 41 (6), 721-741, 2021 | 31 | 2021 |
| Delays and timetabling for passenger trains CW Palmqvist | 31 | 2019 |
| Explaining dwell time delays with passenger counts for some commuter trains in Stockholm and Tokyo CW Palmqvist, N Tomii, Y Ochiai Journal of Rail Transport Planning & Management 14, 100189, 2020 | 30 | 2020 |
| Delays for passenger trains on a regional railway line in southern Sweden CW Palmqvist, N Olsson, L Hiselius International Journal of Transport Development and Integration 1 (3), 421-431, 2017 | 28 | 2017 |
| A review of data-driven approaches to predict train delays KY Tiong, Z Ma, CW Palmqvist Transportation Research Part C: Emerging Technologies 148, 104027, 2023 | 25 | 2023 |
| The planners’ perspective on train timetable errors in Sweden CW Palmqvist, NOE Olsson, L Winslott Hiselius Journal of Advanced Transportation 2018 (1), 8502819, 2018 | 20 | 2018 |
| Microscopic and macroscopic simulation of early freight train departures I Johansson, CW Palmqvist, H Sipilä, J Warg, M Bohlin Journal of Rail Transport Planning & Management 21, 100295, 2022 | 17 | 2022 |
| Statistical analysis of departure deviations from shunting yards: Case study from Swedish railways N Minbashi, CW Palmqvist, M Bohlin, B Kordnejad Journal of Rail Transport Planning & Management 18, 100248, 2021 | 14 | 2021 |
| Passenger volumes and dwell times for commuter trains: a case study using automatic passenger count data in stockholm RA Kuipers, CW Palmqvist Applied Sciences 12 (12), 5983, 2022 | 10 | 2022 |
| The application of tree‐based algorithms on classifying shunting yard departure status N Minbashi, M Bohlin, CW Palmqvist, B Kordnejad Journal of Advanced Transportation 2021 (1), 3538462, 2021 | 9 | 2021 |
| Machine learning-assisted macro simulation for yard arrival prediction N Minbashi, H Sipilä, CW Palmqvist, M Bohlin, B Kordnejad Journal of Rail Transport Planning & Management 25, 100368, 2023 | 8 | 2023 |
| A methodology for monitoring rail punctuality improvements CW Palmqvist, I Kristoffersson IEEE Open Journal of Intelligent Transportation Systems 3, 388-396, 2022 | 8 | 2022 |
| Excess probability of dwell time delays from train meets and passes CW Palmqvist Journal of Rail Transport Planning & Management 21, 100298, 2022 | 8 | 2022 |
| Punctuality problems from the perspective of timetable planners in Sweden CW Palmqvist Nationell Transportforskningskonferens 2017, 2017 | 8 | 2017 |
| Railway network design and regional labour markets in Sweden E Johansson, R Camporeale, CW Palmqvist Research in Transportation Economics 83, 100921, 2020 | 7 | 2020 |
| Deliverable D 3.1: analysis of the gap between daily timetable and operational traffic A Peterson, M Wahlborg, CH Häll, C Schmidt, B Kordnejad, J Warg, ... | 7 | 2019 |
| Development of new railway timetabling rules for increased robustness E Solinen, CW Palmqvist Transport Policy 133, 198-208, 2023 | 6 | 2023 |
| Quantitative methods for train delay propagation research KY Tiong, CW Palmqvist Transportation Research Procedia 72, 80-86, 2023 | 5 | 2023 |
| A method to separate primary and secondary train delays in past and future timetables using macroscopic simulation CW Palmqvist, I Johansson, H Sipilä Transportation Research Interdisciplinary Perspectives 17, 100747, 2023 | 5 | 2023 |
Kah Yong TiongPhD student, Lund UniversityVerified email at tft.lth.se
