“…Predicting and managing major transport hubs' capacity in both businesses as usual (BAU) and exceptional circumstances, e.g., rush hour, travel disruption, and planned events by using Machine Learning (ML), is one of the challenging aspects for Transport Hub Crowd Management (THCM). Inspired by fixed monitoring systems, THCM could employ fixed sensors (Asad et al, 2020a;Ansari et al, 2018) or 5G mobile networks (Li et al, 2017) to cope with the limitations it currently faces. This is stressed out by the exponential spread of uncertainties enabled by a high passenger density and frequent footprint in transport hubs.…”