Ingo A. Hansen

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During rail operations, unforeseen events may cause timetable perturbations, which ask for the capability of traffic management systems to reschedule trains and to restore the timetable feasibility. Based on an accurate monitoring of train positions and speeds, potential conflicting routes can be predicted in advance and resolved in real time. The adjusted(More)
Railway timetables must provide competitive travel times and at the same time be able to withstand delays, perturbations, and variations in operating conditions without losing functionality, to achieve a high service level during operations. The art of designing such a timetable relies on several performance indicators related to individual train paths(More)
Train services are planned in detail, defining several months in advance the train order and timing at crossings, junctions and platform tracks. A robust timetable is able to deal with minor perturbations even though in case of large delays or blocking of some tracks multiple timetable modifications are required in order to recover the feasibility of(More)
Railway traffic is operated according to a detailed schedule, specifying for each train its path through the network plus arrival and departure times at its scheduled stops. During daily operations, disturbances perturb the plan and dispatchers take action in order to keep operations feasible and to limit delay propagation. This paper presents a thorough(More)
Data mining and analysis of standard track occupation data is used to compute accurate actual train delays at stations. Based on historical train describer records the delays can be automatically classified into initial and consecutive ones through comparison of actual with scheduled blocking times. The distributions of running times and dwell times of each(More)
In the last years, real-time railway traffic optimization experienced an increasing interest due to the expected growth of traffic and the limited possibilities of enhancing the infrastructure, which ask for a more efficient use of resources and the application of more advanced decision support tools. This paper presents a computerized train dispatching(More)