基于云车载网络的智能灾害管理系统

Z. Alazawi, Saleh M. Altowaijri, Rashid Mehmood, Mohmmad B. Abdljabar
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引用次数: 116

摘要

由于近年来发生了许多人为和自然灾害,例如2001年9月和最近的日本地震和海啸灾害,紧急反应系统的重要性在今天再怎么强调也不为过。据估计,仅日本灾难的总成本就超过了3000亿美元。运输和电信在灾害应对和管理中发挥着关键作用,以尽量减少人员生命损失、经济成本和破坏。我们的研究涉及开发各种规模灾害的应急响应系统,重点是利用信息通信技术发展的运输系统。在本文中,我们利用智能交通系统(ITS),包括VANETs(车辆自组织网络),移动和云计算技术,提出了一个智能灾害管理系统。该系统是智能的,因为它能够从多个来源和位置收集信息,包括从事件点收集信息,并能够制定有效的策略和决策,并将信息实时传播到车辆和其他节点。通过模拟灾难对真实城市交通环境的影响,并将其与我们的灾难管理系统的情况进行比较,我们的系统的有效性得到了证明。我们报告说,采用我们建议的系统在改善和平衡交通流量和顺利疏散方面带来了巨大的好处。
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Intelligent disaster management system based on cloud-enabled vehicular networks
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.
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