Paper

Optimizing Sign Placements for Crowd Evacuation on Road Network in Case of Tsunami Alert


Authors:
Jean Daniel Zucker; Yann Chevaleyre; NguyenThi Ngoc Anh
Abstract
In recent years, the number of people affected by natural disasters and in particular tsunamis has been increasing. Artificial Intelligence and Operation Research approaches to simulate crowd evacuation and prepare cities for Tsunamis are of critical interest. Given an extremely simple model of human behavior, i.e. a memory-less stochastic agent, we address the problem of optimizing the placement of Tsunami evacuation signs with respect to evacuation time and casualties. Moreover, we formalise this optimisation problem as a Mixed Integer Linear Programming (MILP) problem and we ran some experiments with a MILP solver to give an early warning for the evacuation of the road network of Nhatrang city in Vietnam.
Keywords
Agent Based Model;Optimization Sign Placement;Mixed Integer Linear Programming;Simulation
StartPage
33
EndPage
39
Doi
10.5963/IJCSAI0204004
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