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System-Individual Objectives Driven Evolutionary Model Based on Particle Swarm Optimization for Pedestrian-vehicle Mixed Evacuation

Xinlu Zong, Shengwu Xiong, Hongwei Chen


In this paper a system-individual objectives driven evolutionary model is presented for pedestrian-vehicle mixed evacuation. Both the macroscopic objectives in system level and individual-level demand are optimized simultaneously by using an evolutionary particle swarm optimization algorithm based on system-individual objectives driven mechanism. The experimental results show that this approach can effectively solve the mixed evacuation problem in the region integrated building and roads. The model and algorithm can achieve optimum solutions in both macroscopic and microscopic levels. Better efficiency and lower congestion level are obtained by the system-individual objectives driven mechanism.


Pedestrian-vehicle mixed evacuation, Particle swarm optimization algorithm, System-individual objectives driven mechanism, Multi-objective optimization.

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