MPC |
Title: | Modeling Disrupted Transportation Infrastructure System due to Multiple Hazards |
Principal Investigators: | Suren Chen |
University: | Colorado State University |
Status: | Completed |
Year: | 2020 |
Grant #: | 69A3551747108 (FAST Act) |
Project #: | MPC-617 |
RH Display ID: | 14405 |
Keywords: | bridges, forecasting, hazards, highways, rural areas, service disruption, traffic incidents, travel time, urban areas |
A transportation system, consisting of roads and bridges, experiences various types of disruptions subjected to different hazards, including long-term, short-term and temporary ones. Due to the complex nature and different causes, disruptions can be very hard to predict with high uncertainty. Different from normal traffic conditions with intact transportation system, actual field data is often lacking, preventing from developing some data-based models.
As a key step toward predicting travel time of disrupted traffic system due to several representative hazards, this project tries to achieve following research objectives in order to support the preparation, response and recovery of modern community before and following natural hazards: 1) Appropriately define various natural hazards and incidents, which may cause transportation disruption in urban and rural settings; 2) Develop a general method to model the caused disruptions on transportation system, particularly roads and bridges, due to full or partial blockage.
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