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PEER Research Project Highlight: “High-Performance Computing Based Distributed Multi-Layered City-Scale Transportation Network Tool”

The impact of a PEER funded research project “High-Performance Computing Based Distributed Multi-Layered City-Scale Transportation Network Tool” is highlighted below. The project Principal Investigator is Kenichi Soga, Chancellor’s Professor, UC Berkeley. The research team includes Joan Walker, UC Berkeley; Alexandre Bayen, UC Berkeley; and Jack Baker, Stanford University.

Download the Research Project Highlight which includes the abstract. (PDF)

Research Impact:

The loss of accessibility due to damages/closures of 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 disaster relief measures. The ultimate aim of this project is to provide a tool that enables city-scale resilience planning using HPC for infrastructure planners in the Bay Area. 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. Beyond this proposal, further research could be developed to include more sophisticated models and infrastructure types.