Monitoring Case Study for Motion Crowd State Transitions in Mina

Crowd collectiveness paradigm is a promising field for a practical monitoring and controlling the mass of pilgrims during the Hajj period. This technique describes the degree of individuals’ unity in collective motion, offering valuable insights into the dynamics of crowd behavior. In this paper, we explore the application of a coherent motions merging technique to detect and analyze the level of collectiveness among pilgrims in three distinct states of lane formation during the Hajj pilgrimage: laminar, stop-and-go, and turbulent flow. The experiment has been conducted on simulated agents-series dataset of Hajj crowd. Experimental results show that the collectiveness degree has changed and it has been affected by the coherent motion nature of the crowd based on these three states. This study serves as a crucial step towards fostering a safer and more streamlined experience for pilgrims undertaking the sacred journey of Hajj.