The impact of a PEER funded research project, "City-scale Multi-infrastructure Network Resilience Simulation Tool" is highlighted below. The project Principal Investigator (PI) is Kenichi Soga, Professor, UC Berkeley. The research team includes Renjie Wu, Graduate Student Researcher, UC Berkeley, Zhenxiang Su, Graduate Student Researcher, UC Berkeley, Bingyu Zhao, Visiting Researcher, UC Berkeley, and Miki Komatsu, Visiting Researcher, UC Berkeley.
Download the Research Project Highlight which includes the abstract. (PDF)
Research Impact:
The ultimate aim of this project is to provide tools that enable city-scale resilience planning for infrastructure planners in the Bay Area. The loss of accessibility due to damages/closures of the transportation network can greatly affect the rescue and recovery of a city after natural disasters. Transport asset managers need to know the route availability, traffic distribution, reduction in speed and reconstruction resources required under disaster scenarios, so as to evaluate the impacts and plan for relief measures. The proposed tool can potentially be used for analysis in real-time and enables probabilistic analysis through multiple runs for different recovery scenarios after an earthquake. Both HPC-based network simulation tools are available under the open source MIT license on GitHub (https://github.com/cb-cities). The web-based visualization engine is also available under MIT license on GitHub (https://github.com/cb-cities/sierra-charlie). This tool will allow visualization of transport network performance regarding traffic volume, speed, route closure and estimated recovering time under different damage scenarios in an earthquake.
