A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Efficient Dredging Strategies for Improving Transportation Infrastructure Resilience
The inland navigation system is highly dependent on uncertain natural factors such as shoaling that can render waterways unnavigable. In order to ensure waterway navigability, maintenance dredging must be completed. We consider the problem of selecting a budget-limited subset of maintenance dredging projects to maximize the expected commodity tonnage that can be transported through the inland waterway system. Our model incorporates uncertainty due to unpredictable amount of budget required for emergency dredging. This problem is modeled as a two-stage stochastic program and a genetic algorithm is developed as a solution approach. The model and heuristic is implemented using data obtained for the U.S. inland waterway network.
Efficient Dredging Strategies for Improving Transportation Infrastructure Resilience
The inland navigation system is highly dependent on uncertain natural factors such as shoaling that can render waterways unnavigable. In order to ensure waterway navigability, maintenance dredging must be completed. We consider the problem of selecting a budget-limited subset of maintenance dredging projects to maximize the expected commodity tonnage that can be transported through the inland waterway system. Our model incorporates uncertainty due to unpredictable amount of budget required for emergency dredging. This problem is modeled as a two-stage stochastic program and a genetic algorithm is developed as a solution approach. The model and heuristic is implemented using data obtained for the U.S. inland waterway network.
Efficient Dredging Strategies for Improving Transportation Infrastructure Resilience
K. Sullivan (author) / K. Ahadi (author)
2017
37 pages
Report
No indication
English
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