A network optimization-based approach for crowd management in large public gatherings
Conceptualizes and formulates layout reconfiguration for efficient crowd movement. Models crowd control strategies as a network design problem. Incorporates route choice and collective behavior in pedestrian assignment. Pure-strategy Nash equilibrium employed to capture group dynamics. Multi-start Continuous Tabu Search with SQP to address nonlinear bi-level program.
crowd control network design collective behavior nash equilibrium continuous tabu search bi-level programming pedestrian route choice behavior