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Intelligent disaster management system based on cloud-enabled vehicular networks

Alazawi, Zubaida, Altowaijri, Saleh, Mehmood, Rashid and Abdljabar, Mohmmad B. (2011) Intelligent disaster management system based on cloud-enabled vehicular networks. In: 11th International Conference on ITS Telecommunications. ITST 2011 . IEEE, Saint Petersburg, Russia, pp. 361-368.

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    Abstract

    The importance of emergency response systems cannot be overemphasized today due to the many manmade and natural disasters in the recent years such as September 2001 and the recent Japan earthquake and tsunami disaster. The overall cost of the Japan disaster alone is estimated to have exceeded 300 billion USD. Transportation and telecommunications play a critical role in disaster response and management in order to minimize loss of human life, economic cost and disruptions. Our research is concerned with developing emergency response systems for disasters of various scales with a focus on transportation systems which exploit ICT developments. In this paper, we leverage Intelligent Transportation Systems (ITS) including VANETs (Vehicular Ad hoc Networks), mobile and Cloud computing technologies to propose an intelligent disaster management system. The system is intelligent because it is able to gather information from multiple sources and locations, including from the point of incident, and is able to make effective strategies and decisions, and propagate the information to vehicles and other nodes in real-time. The effectiveness of our system is demonstrated through modelling the impact of a disaster on a real city transport environment and comparing it with the case where our disaster management system was in place. We report great benefits derived from the adoption of our proposed system in terms of improved and balanced traffic flow and smooth evacuation.

    Item Type: Book Chapter
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    Depositing User: Rashid Mehmood
    Date Deposited: 13 Nov 2012 16:48
    Last Modified: 13 Nov 2012 16:48
    URI: http://eprints.hud.ac.uk/id/eprint/15706

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