Crowd Congestion Forecasting Framework Using Ensemble Learning Model and Decision Making Algorithm: Umrah Use Case
Forecasting crowd congestion is a critical aspect of crowd management, particularly in dynamic and densely populated areas, such as urban centers, events, or pilgrimage sites.In this paper, Vintage Parts we proposed the first crowd congestion forecasting framework for the pilgrimage of Umrah.We addressed the crowd congestion forecasting problem by