| An analysis of agent-based approaches to transport logistics P Davidsson, L Henesey, L Ramstedt, J Törnquist, F Wernstedt Transportation Research part C: emerging technologies 13 (4), 255-271, 2005 | 540 | 2005 |
| N-tracked railway traffic re-scheduling during disturbances J Tornquist, JA Persson Transportation Research Part B: Methodological 41 (3), 342-362, 2007 | 435 | 2007 |
| Design of an effective algorithm for fast response to the re-scheduling of railway traffic during disturbances J Tornquist Krasemann Transportation Research Part C: Emerging Technologies, 2011 | 295* | 2011 |
| Computer-based decision support for railway traffic scheduling and dispatching: A review of models and algorithms J Törnquist 5th Workshop on Algorithmic Methods and Models for Optimization of Railways …, 2006 | 251 | 2006 |
| Railway traffic disturbance management--An experimental analysis of disturbance complexity, management objectives and limitations in planning horizon J Törnquist Transportation Research Part A: Policy and Practice 41 (3), 249-266, 2007 | 138 | 2007 |
| Quantifying railway timetable robustness in critical points E Andersson, J Peterson, Anders, Törnquist Krasemann Journal of Rail Transport Planning & Management, 2014 | 113 | 2014 |
| Train traffic deviation handling using tabu search and simulated annealing J Tornquist, JA Persson Proceedings of the 38th annual Hawaii international conference on system …, 2005 | 79 | 2005 |
| Train dispatching L Lamorgese, C Mannino, D Pacciarelli, JT Krasemann Handbook of optimization in the railway industry, 265-283, 2018 | 45 | 2018 |
| Greedy algorithm for railway traffic re-scheduling during disturbances: A Swedish case JT Krasemann IET intelligent transport systems 4 (4), 375-386, 2010 | 45 | 2010 |
| A parallel algorithm for train rescheduling SP Josyula, JT Krasemann, L Lundberg Transportation Research Part C: Emerging Technologies 95, 545-569, 2018 | 39 | 2018 |
| Computational decision-support for railway traffic management and associated configuration challenges: An experimental study JT Krasemann Journal of Rail Transport Planning & Management 5 (3), 95-109, 2015 | 38 | 2015 |
| Reduced railway traffic delays using a MILP approach to increase Robustness in Critical Points EV Andersson, A Peterson, JT Krasemann Journal of Rail Transport Planning & Management 5 (3), 110-127, 2015 | 37 | 2015 |
| Railway traffic disturbance management J Törnquist Blekinge Institute of Technology, 2006 | 30 | 2006 |
| A multi-agent system approach to train delay handling J Törnquist, P Davidsson ECAI-02 Workshop on Agent Technologies in Logistics, 2002 | 27 | 2002 |
| Robustness in Swedish railway traffic timetables E Andersson, A Peterson, J Törnquist Krasemann 4th International Seminar on Railway Operations Modelling and Analysis …, 2011 | 18 | 2011 |
| Inter-organization interoperability in transport chains using adapters based on open source freeware P Davidsson, L Ramstedt, J Törnquist Interoperability of enterprise software and applications, 35-42, 2006 | 18 | 2006 |
| A heuristic approach to solving the train traffic re-scheduling problem in real time O Gholami, J Törnquist Krasemann Algorithms 11 (4), 55, 2018 | 17 | 2018 |
| Passenger-oriented railway traffic re-scheduling: A review of alternative strategies utilizing passenger flow data SP Josyula, J Törnquist Krasemann 7th International conference on railway operations modelling and analysis, Lille, 2017 | 17 | 2017 |
| Improved railway timetable robustness for reduced traffic delays–a milp approach E Andersson, A Peterson, J Törnquist Krasemann 6th international conference on railway operations modelling and analysis …, 2015 | 16 | 2015 |
| Perceived Benefits Of Improved Information Exchange-A Case Study On Rail And Intermodal Transports J Törnquist, I Gustafsson Research in Transportation Economics 8 (1), 415-440, 2004 | 15 | 2004 |
Paul DavidssonProfessor of Computer Science, Malmö University, SwedenVerified email at mau.se
