Ant Colony-Dijkstra’s Algorithm for Evacuation Preparedness in High Rise Buildings

Abstract

The critical tasks during evacuation process is how to find the right ways in order to escape from the danger place to a safe place. In process of finding the right ways, most of the evacuees are panicked. Subsequently, make the process more difficult. With that occurrence, the main objectives of this research study are to identify the suitable shortest path algorithm for evacuation in high rise building, then design and develop an evacuation route via shortest path algorithm in order to obtain an exit route to evacuate by using Optimization and Artificial Intelligence Technique. The objectives that involved are to help the evacuees to find the best routes during evacuation process. Six phases of methods are raised to accomplish the objectives by utilizing the Dijkstra and Ant Colony Optimization Algorithm. The first step is started from the original building layout. Then transform the layout into 2D layout plan. After that, import the matrix data to generate graph theory. Next step is utilizing the both approaches to achieve the shortest path. The preliminary result has shown positive result which can deliver the shortest path to help evacuees.