Utilising deep analytics to predict reactionary delays and dwell time variation in the new accessible railway (COF-DSP-07)

This feasibility project aimed to use regression and neural networks techniques to model station dwell times, to identify where targeted passenger assistance could reduce dwell times and mitigate the risk of delays.