1. Emergency Evacuation Assistance
- Author
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John J. Lee, Dong-Soo Kim, Atharv Jain, Dinaol Tadesse, Dan Koo, and Sushmitha Shettar
- Subjects
Scheme (programming language) ,Computer science ,business.industry ,020206 networking & telecommunications ,02 engineering and technology ,Computer security ,computer.software_genre ,Toxic gas ,Emergency evacuation ,0202 electrical engineering, electronic engineering, information engineering ,Doors ,020201 artificial intelligence & image processing ,Safe haven ,Graph algorithms ,Graph mapping ,Internet of Things ,business ,computer ,computer.programming_language - Abstract
There have been more than necessary casualties due to a lack of intelligence in emergency evacuation mechanisms such as exit signs. Although large or complex buildings and facilities have many exit doors, in case of emergency, people may not be able to escape quickly enough due to sudden loss of directions and difficulty in finding safe routes to exit doors. If you were ever in such a situation, you would wish that if there were ever smart escape route assistance mechanisms available or at least smart exit signs available that safely and quickly guide you to a safe haven. It is what we try to make such a wish come true. In this paper, we propose a graph mapping scheme and a new safe evacuation route algorithm for safe emergency evacuation assistance, with the aid of recent technology called Internet of Things (IoT). The gist of our approach is that people are not allowed to pass through or even go towards any area where fire or toxic gas is detected by controlling the direction signals installed on exit signs. The experiments performed with our methodology shows that the proposed technology may be able to save more lives.
- Published
- 2020
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