An emergency aircraft evacuation simulation considering passenger overtaking and luggage retrieval

Chengcheng Song, Quan Shao, Pei Zhu, Min Dong and Wenfei Yu

Reliability Engineering and System Safety, 2023, vol. 229, issue C

Abstract: The irrational behaviors of passengers due to panic and anxiety during actual evacuations are challenging to be fully controlled by the crew. These behaviors may lead to the inefficiency of actual evacuation. This research builds a cabin evacuation model considering passengers’ luggage retrieval and overtaking behaviors based on cellular automata to improve the safety of aviation passengers.. The model introduces disaster levels to describe passengers’ anxiety and implements the “faster-is-slower†effect. Two possible overtaking routes are proposed, and we explored the effect of overtaking and retrieving luggage. The result shows that both overtaking and luggage retrieval negatively impact evacuation efficiency, and the impact of baggage retrieving is greater than overtaking. However, overtaking can essentially eliminate the influence of baggage retrieving. The effect of prohibiting irrational behaviors in different cabin compartments is analyzed to simulate crews’ guidance. The results show that the crew's enhanced guidance of the second part is the most effective.

Keywords: Aircraft emergency evacuation; Overtaking; Luggage retrieval; Airbus A320; Cellular automata (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004689

DOI: 10.1016/j.ress.2022.108851

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