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

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

Kecman, P.
Goverde, R.M.P.

Civil Engineering and Geosciences

Transport & Planning

2012-10-30

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.

train describers
realisation data
process mining
route conflicts

http://resolver.tudelft.nl/uuid:0bcf237f-57df-456c-bc88-bf1dc9da074b

TRAIL Research School

TRAIL Beta Congress, Rotterdam, The Netherlands, 30-31 October 2012

Institutional Repository

conference paper

(c) 2012 The Author(s)
TRAIL Research School