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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/1039
Title: MacroServ: A Route Recommendation Service for Large-Scale Evacuations
Authors: Shahid Khan, Muhammad Usman
Khalid, Osman
Huang, Ying
Keywords: MacroServ
Route Recommendation Service
COMSATS
Large-Scale Evacuations
Issue Date: 1-Aug-2017
Publisher: IEEE
Abstract: o respond to emergencies in a fast and an effective manner, it is of critical importance to have efficient evacuation plans that lead to minimum road congestions. Although emergency evacuation systems have been studied in the past, the existing approaches, mostly based on multi-objective optimizations, are not scalable enough when involve numerous time varying parameters, such as traffic volume, safety status, and weather conditions. In this paper, we propose a scalable emergency evacuation service, termed the MacroServ that recommends the evacuees with the most preferred routes towards safe locations during a disaster. Unlike many existing approaches that model systems with static network characteristics, our approach considers real-time road conditions to compute the maximum flow capacity of routes in the transportation network. The evacuees are directed towards those routes that are safe and have least congestion resulting in decreased evacuation time. We utilized probability distributions to model the real-life stochastic behaviors of evacuees during emergency scenarios. The results indicate that recommendation of appropriate routes during emergency scenarios play a critical role in quicker and safe evacuation of the population.
URI: http://142.54.178.187:9060/xmlui/handle/123456789/1039
ISSN: 1939-1374
Appears in Collections:Journals

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