Automatic Evacuation Management Using a Multi Agent System and Parallel Meta-Heuristic Search
An automatic evacuation management system taking advantage of a multi agent based mass evacuation simulator is proposed and prototyped. The aim of this system is to provide a stepping stone in the direction of automated evacuation managing. The proposed system is currently capable of identifying evacuation anomalies, proposing a mitigation strategy and providing feedback for human expert evaluation and query. All the pieces although seamlessly connected are independently developed. This allows their independent improvement and evaluation. This paper provides an overview of the developed automatic evacuation management system and all of its components, a demonstrative example, and discussion of its current limitations and future development direction. The demonstrative example shows increases of more than \(10\,\%\) in the evacuation throughput by using the proposed system.
This work was supported by JSPS KAKENHI Grant Number 24760359. Parts of the results are obtained using K computer at the RIKEN Advanced Institute for Computational Science.
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