Predicting anomalous crowds with anomaly score-matching-based regression using transit search logs and GPS mobility logs

Predicting anomalous crowds, i.e., the irregular people gatherings in unusual events is a very important topic to enable appropriate countermeasures such as crowd control or avoidance of the COVID-19 epidemic. The existing work [Konishi+, UbiComp’16] proposed the method of irregularity…
