ViCTS is a novel network partition algorithm for scalable agent-based modeling of mass evacuation. VICTS is based on a cyberGIS-enabled computational framework for exploiting unique spatial movement patterns of an emergency evacuation. Experiments show that our algorithm outperforms a popular network partition algorithm for microscopic traffic simulation in terms of load-balancing and communication reduction. Furthermore, the entire computational environment and software codes of this framework are built into a Docker image with a series of Jupyter notebooks, which enables the reproducibility, validation and future extension of the framework by broad cyberGIS and spatial modeling communities.
Grant Numbers: NSF (1047916, 1443080, 16644119)
People: Dandong Yin (dyin4@illinois.edu), Shaowen Wang (shaowen@illinois.edu)
