Visual Analysis of Reactionary Train Delay from an Agent Based Model

We design and apply interactive visualisation to help understand reactionary (knock-on) delay in trains using a set of 'Monte- Carlo' style Agent Based Model runs, and to help train operating companies design interventions. Our interactive graphics indicate the locations where primary delay occurs, where reactionary delay occurs, the types of primary delays, how these vary across the runs and the mechanisms of delay. We continue to work with the train industry to refine these methods. Interactive visualisation still has unexplored potential to help make Agent Based Models more explainable.
EuroVis 2019 - Posters
Posters
89
91
Aidan Slingsby, Jonathan Hyde, and Cagatay Turkay
CCS Concepts: Computing methodologies --> Visual analytics