Timetable planning and information quality

Part A. Timetabling RailML - a standard data interface for railroad applications; Timetable stability - using simulation to ensure quality in a regular interval timetable; Crystal diagram: a technique for making high-density diagrams; State-of-the-art of railway operations research; A Decision Support System for railway timetabling (MOM): the Spanish case; Method and software tool for an optimized passenger orientated connection management; Applying multiscaling analysis to detect capacity resources in railway Networks. Part B. Operations Analysis Simulation of disturbances and modelling of expected train passenger delays; Evaluating stochastic train process time distribution models on the basis of empirical detection data; Development of a dwell time calculation model for timetable planning; Evaluation of punctuality on a heavily utilised railway line with mixed traffic; Automated analysis of train event recorder data to improve micro-simulation models. Part C. Rescheduling Optimal train control at a junction in the main line rail network using a new object-oriented signalling system model; Running time re-optimization during real-time timetable perturbations; An algorithm for train rescheduling using rescheduling pattern description language R; The contribution of state resources in a constraint-based scheduling model for conflict solving at railway junctions; A Petri nets based decision support tool for railway traffic conflicts forecasting and resolution; Comparing the effectiveness of two real-time train rescheduling systems in the case of perturbed traffic conditions; A novel train rescheduling algorithm for correcting disrupted train operations in a dense urban environment.