Poster Title:  City-scale modeling of traffic and pipeline networks using high-performance computing
Poster Abstract: 

In the 21st century, people are witnessing a rapid rise of urbanization throughout the world. Cities that are becoming densly populated units with complex functions, and it is a significant challenge for cities to prepare against disasters effectively. Safeguarding urban resilience after natural disasters rely on the accurate understanding of the system and the interactions between multiple critical infrastructures. The objective of this research is to model the interactions between the traffic and pipeline networks in the San Francisco Bay Area under earthquake hazards. The population of the study area is over 7 million and simulating their individual behavior needs a powerful computing system. We conducted traffic simulations on an undamaged road network and compared it against the network when the San Francisco-Oakland Bay Bridge is closed. The results indicate the effect of the bridge closure on agents’ route choice and their travel time. In addition, we conduct traffic simulations assuming pipe damage and flooding as a direct result of ground movements to understand the performance and interactions of the traffic and pipeline networks under earthquake scenarios.

Poster ID:  C-14
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