Improved algorithms for the evacuation route planning problem

Gopinath Mishra (), Subhra Mazumdar () and Arindam Pal ()
Additional contact information
Gopinath Mishra: Indian Statistical Institute
Subhra Mazumdar: Tata Consultancy Services
Arindam Pal: Tata Consultancy Services

Journal of Combinatorial Optimization, 2018, vol. 36, issue 1, No 21, 280-306

Abstract: Abstract Emergency evacuation is the process of movement of people away from the threat or actual occurrence of hazards such as natural disasters, terrorist attacks, fires and bombs. In this paper, we focus on evacuation from a building, but the ideas can be applied to city and region evacuation. We define the problem and show how it can be modeled using graphs. The resulting optimization problem can be formulated as an Integer Linear Program. Though this can be solved exactly, this approach does not scale well for graphs with thousands of nodes and several hundred thousands of edges. This is impractical for large graphs. First, we study a special case of this problem, where there is only a single source and a single sink. For this case, we give an improved algorithm Single Source Single Sink Evacuation Route Planner, whose evacuation time is always at most that of a famous algorithm Capacity Constrained Route Planner (CCRP), and whose running time is strictly less than that of CCRP. We prove this mathematically and give supporting results by extensive experiments. We also study randomized behavior model of people and prove some interesting results. We design the Multiple Sources Multiple Sinks Evacuation Route Planner (MSEP) algorithm to extend this for multiple sources and multiple sinks. We propose a randomized behavior model for MSEP and give a probabilistic analysis using ChernoffBounds.

Keywords: Evacuation planning; Graph algorithms; Combinatorial optimization; Randomized behavior models; Probabilistic analysis (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10878-016-0082-0

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