NICTA evacuation planner: actionable evacuation plans with contraflows
Date
2014
Authors
Even, C.
Pillac, V.
Van Hentenryck, Pascal
Journal Title
Journal ISSN
Volume Title
Publisher
IOS Press
Abstract
Evacuations are a critical aspect of disaster management, and generally the first prevention measure to ensure the safety of the population under threat. Designing evacuation plans is a complex task that requires to take into account multiple factors in order to limit congestion and ensure that all evacuees reach safety in time. This paper proposes a conflict-based path-generation algorithm for evacuation planning and a web-based intelligent system targeted at local authorities and emergency services. The key contribution of this paper is to propose the first scalable approach to produce actionable evacuation plans that simultaneously schedules the evacuation and selects contraflow roads. The benefits of the approach are illustrated on two large-scale case studies. The resulting optimization model is integrated in NICTA EVACUATION PLANNER, a tool to model, plan, and simulate evacuations.
Description
Keywords
Artificial intelligence, Disaster prevention, Disasters, Emergency services, Optimization, Social networking, Disaster management, Evacuation planning, Local authorities, Optimization modeling, Prevention measures, Scalable approach, Web-based intelligent system
Citation
Collections
Source
Frontiers in Artificial Intelligence and Applications
Type
Journal article