In the simulation of emergency evacuation of aircraft, the cellular automaton model is mostly used to simulate evacuated people. This model is faster in calculation but regards the evacuees as the same particles, ignoring individual differences, so there is a difference from the actual evacuation situation. In this paper, the agent model is used to establish personal behavior rules, combined with the A* path-finding algorithm, a valuation function in the A* algorithm suitable for aircraft emergency evacuation is proposed, and a character model is established. The simulation of the emergency evacuation process of the cabin of a certain type of Boeing 737-700 aircraft is carried out, and compared with the previous experimental results and the authoritative simulation software airEXODUS. The results show that the simulation results of the proposed algorithm are close to the real experimental results, and closer to the real evacuation situation.
Research on Simulation Algorithm of Civil Aircraft Emergency Evacuation
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Advances in Experiment and Simulation of Civil Aircraft Emergency Evacuation
DOAJ | 2020
|Variable-configuration experimental platform for civil aircraft emergency evacuation simulation test
European Patent Office | 2024
|Simulation of emergency evacuation behaviour from aircraft
British Library Conference Proceedings | 1997
|