Optimizing Infrastructure Enhancements for Evacuation Planning

Authors

  • Kunal Kumar Ghent University
  • Julia Romanski Brown University
  • Pascal Van Hentenryck University of Michigan

DOI:

https://doi.org/10.1609/aaai.v30i1.9897

Abstract

With rapid population growth and urbanization, emergency services in various cities around the world worry that the current transportation infrastructure is no longer adequate for large-scale evacuations. This paper considers how to mitigate this issue through infrastructure upgrades, such as the additions of lanes to road segments and the raising of bridges and roads. The paper proposes a MIP model for deciding the most effective infrastructure upgrades as well as a Benders decomposition approach where the master problem jointly plans the upgrades and evacuation routes and the subproblem schedules the evacuation itself. Experimental results demonstrate the practicability of the approach on a real case study, filling a significant need for emergencies services.

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Published

2016-03-05

How to Cite

Kumar, K., Romanski, J., & Van Hentenryck, P. (2016). Optimizing Infrastructure Enhancements for Evacuation Planning. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9897

Issue

Section

Special Track: Computational Sustainability