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Visual Analysis of Reactionary Train Delay from an Agent Based Model

Slingsby, A. ORCID: 0000-0003-3941-553X, Hyde, J. & Turkay, C. ORCID: 0000-0001-6788-251X (2019). Visual Analysis of Reactionary Train Delay from an Agent Based Model. Poster presented at the EuroVis 2019, 3-7 Jun 2019, Porto, Portugal. doi: 10.2312/eurp.20191153

Abstract

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.

Publication Type: Conference or Workshop Item (Poster)
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science > giCentre
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