Contraflow Transportation Network Reconfiguration for Evacuation Route Planning

• Published in: IEEE transactions on knowledge and data engineering 2008-08, Vol.20 (8), p.1115-1129
• Main Authors: Sangho Kim, Shekhar, S., Min, M.
• Format: Article
• Language: English
• Subjects: Algorithms; Capacity planning; Computation; Computer networks; Congestion; Contraflow; Evacuation; Evacuation Route Planning; Evacuations & rescues; Graph theory; Heuristic; Homeland security; Hurricanes; Mathematical analysis; Mathematical models; Networks; Optimization; Roads; Space exploration; Studies; Telecommunication traffic; Terrorism; Traffic control; Transportation
• ISSN: 1041-4347; 1558-2191
• DOI: 10.1109/TKDE.2007.190722

Given a transportation network having source nodes with evacuees and destination nodes, we want to find a contraflow network configuration, i.e., ideal direction for each edge, to minimize evacuation time. Contraflow is considered a potential remedy to reduce congestion during evacuations in the context of homeland security and natural disasters (e.g., hurricanes). This problem is computationally challenging because of the very large search space and the expensive calculation of evacuation time on a given network. To our knowledge, this paper presents the first macroscopic approaches for the solution of contraflow network reconfiguration incorporating road capacity constraints, multiple sources, congestion factor, and scalability. We formally define the contraflow problem based on graph theory and provide a framework of computational workload to classify our approaches. A greedy heuristic is designed to produce high quality solutions with significant performance. A bottleneck relief heuristic is developed to deal with large numbers of evacuees. We evaluate the proposed approaches both analytically and experimentally using real world datasets. Experimental results show that our contraflow approaches can reduce evacuation time by 40% or more.