Towards Developing an Intelligent Fire Exit Guidance System Using Informed Search Technique

In this era of industrialization, unanticipated fire accidents at homes, industries and corporate working places have become a foremost concern. As well as damaging valuable properties and equipment of homes and working environments, such fire incidents also take away countless human lives. Although automated fire-detection and alarm system have been implemented, no automated fire exit guidance system has yet been introduced that provides a systematic and intelligent way of evacuation from fire affected place. In this paper, an intelligent automated fire exit guidance system using A* search algorithm has been presented, where along with guiding the affected people through the safest optimal path, the system calculates least crowded and shortest path considering distance, endangered node and crowd distribution mechanism. It also detects if any path is already compromised with fire and dynamically suggests second optimal path to fire exit. Experimental results showed the proposed system executed accurately and effectively by handling distance and safety related challenges to ensure minimum life and resource causalities.