کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1133513 1489075 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Metamodel-based direction guidance system optimization for improving efficiency of aircraft emergency evacuation
ترجمه فارسی عنوان
بهینه سازی سیستم جهت هدایت سیستم مبتنی بر متامدل برای بهبود کارایی تخلیه اورژانس هواپیما
کلمات کلیدی
تخلیه اضطراری هواپیما، سیستم هدایت تخلیه، بهینه سازی مبتنی بر متامودل، نمونه گیری به صورت متوالی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


• A direction guidance system is introduced to facilitate aircraft evacuation.
• A metamodel-based optimization method is proposed to alleviate simulation burden.
• The egress time can be greatly saved by the proposed direction guidance system.
• The Boeing 767-300 and Boeing 747-400 are used as illustrative cases.

It is a very common phenomenon that airline passengers always instinctively choose the nearest exit to evacuate in emergency situations. However, such a decision may not be the wisest choice as airline passengers oftentimes lack awareness of aircraft configurations and evacuation capacity of each available exit. To improve the efficiency of aircraft emergency evacuation, a direction guidance system that guides passengers to escape from the optimal exits is proposed. Determining the optimal evacuation directions via the evacuation simulation model developed in our earlier work can essentially be viewed as an optimization problem. The kriging model, acting as a metamodel, is utilized to alleviate computational burden of running the simulation model and approximate the underlying relationship between inputs (evacuation signs) and outputs (evacuation time). To improve the accuracy of the kriging model at the region of interest, a sequential sampling strategy is used to add extra samples as a complement to the initial sample set to tune the initial kriging model. The decision validation metrics along with a termination criterion are used to validate the globally optimal solution with a certain degree of confidence. As demonstrated in the case studies, the proposed metamodel-based optimization method is computationally efficient and the evacuation time can be significantly saved.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 91, January 2016, Pages 302–314
نویسندگان
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