An online railway traffic prediction model

Prediction of train positions in time and space is required for traffic control and passenger information. However, in practice only the last measured train delays are known and dispatchers must predict the arrival times of trains without adequate computer support. This paper presents a real-time tool for continuous online prediction of train...

Process mining approach for recovery of realized train paths and route conflict identification

Data records from train describer systems are a valuable source of information for analyzing railway operations performance and assessing railway timetable quality. This paper presents a tool based on process mining event data records from the Dutch train describer system TROTS. The underlying algorithms automatically identify route conflicts...

Train describer records as a source of information for infrastructure monitoring, performance analysis and traffic management

Data records from tram describer systems represent a valuable source of information for analysing system performance and assessing railway timetable quality. The aim of this paper is to introduce the Dutch tram describer system and present algorithms developed for automatic identification of track blockages, route conflicts (including the...