01478602

Component

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 with conflicting trains, determine accurate arrival and departure times/delays at stations, and reconstruct the train paths on track section and blocking time level. Graphical user interface and visualizations of the time-distance diagrams and blocking time diagrams support and simplify the analysis of running times, dwell times, incidents, track obstructions, disruptions, and structural errors in the timetable design. The case study of a one day of traffic on a busy railway corridor in the Netherlands is presented, as well as the examples to describe the graphical user interface.

This paper was sponsored by TRB committee AR030 Railroad Operating Technologies.

01470560

13-2701

English

14p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References

Algorithms; Case studies; Data mining; Graphical user interfaces; Railroad traffic; Routes and routing; Timetables

Netherlands

Operations and Traffic Management; Planning and Forecasting; Railroads; I72: Traffic and Transport Planning; I73: Traffic Control

Transportation Research Board Annual Meeting 2013 Paper #13-2701

TRIS, TRB, ATRI

Feb 5 2013 12:34PM