This paper reports on the practical applicability of published techniques for real-time train scheduling. The final goal is the development of an advanced decision support system for supporting dispatchers' work and for guiding them toward near-optimal real-time re-timing, re-ordering and re-routing decisions. The paper focuses on the optimization system AGLIBRARY that manages trains at the microscopic level of block sections and block signals and at a precision of seconds. The system outcome is a detailed conflict-free train schedule, being able to avoid deadlocks and to minimize train delays. Experiments on a British railway nearby London demonstrate that AGLIBRARY can quickly compute near-optimal solutions.
D’Ariano, A., Samà, M., D’Ariano, P., & Pacciarelli, D. (2014). Evaluating the applicability of advanced techniques for practical real-time train scheduling. In Transportation Research Procedia (Vol. 3, pp. 279–288). Elsevier. https://doi.org/10.1016/j.trpro.2014.10.007