Study on large-scale traffic evacuation simulation with multi-model integration

Abstract

The management of large-scale traffic evacuation involves various complex post events and response activities in addition to the real-time identification and possible mitigation of the crisis. To capture the numerous and varied decision-making requirements involved in such evacuation management, the integration of multi-model and data resources is urgently needed. This paper proposes a framework for such an integrated emergency evacuation management system. Its purpose aims to make multiple models run in concert in order to model a large-scale traffic evacuation emergency management process for an entire lifecycle. Ontological representation is employed as the underlying approach to support the knowledge integration of urgent scenarios, response tasks, models, and data in a systematic manner. With the help of semantic ontologies, the system can automatically search and combine associated models and data.