Slingsby, AidanHyde, JonathanTurkay, CagatayMadeiras Pereira, João and Raidou, Renata Georgia2019-06-022019-06-022019978-3-03868-088-8https://doi.org/10.2312/eurp.20191153https://diglib.eg.org:443/handle/10.2312/eurp20191153We 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.Computing methodologiesVisual analytics10.2312/eurp.2019115389-91