Design of Evacuation Algorithm for Urban Crowd
MO Lequn
Abstract：In the cellular automata model,the cellular state updating strategy is determined by the location of the cell itself and the neighbor cell state,which is consistent with the particle swarm optimization idea. The cellular state updates are converted to the optimization problem,the particle swarm optimization algorithm is used to solve the cellular migration probability optimization to form the fitness function,optimal cellular evolution rules are formed,so as to improve the evacuation efficiency,to reduce casual?ties. Simulation results show that the evacuation algorithm is efficient and reliable and can be applied to crowd evacuation in dense public areas.
Keywords：cellular automataparticle swarm optimizationevacuation modelevolution rule
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1303-1305,1337 )