A smart disaster management system for future cities

By Z. Alazawi, Omar Alani, Mohmmad B. Abdljabar, Saleh M. Altowaijri, Rashid Mehmood. 2014

102 citations recorded by the source corpus.

Smart cities have recently become the mainstream approaches for urbanisation. Environmental, social and economic sustainability, digital inclusion and high quality of life are considered important elements in smart cities design. Emergency response system and resilience are among the most crucial dimensions of smart and future cities design due to the increase in various disruptions caused by frequent manmade and natural disasters such as September 2001 and Philippines Typhoon Haiyan 2013. Disasters cause great economic and human losses each year throughout the world. Transportations and Telecommunications play a crucial role in disaster response and management. Our research is focused on developing emergency response systems for disasters of various scales with a focus on transportation systems. We have proposed and evaluated a disaster management system that uses Intelligent Transportation Systems including Vehicular Ad hoc Networks (VANETs), mobile and Cloud Computing technologies. In this paper, we report our recent work on two major evacuation strategies, Demand Strategies (DS) and Speed Strategies (SS), which provide better evacuation results in smart cities settings.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

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Citations in the corpus

A survey of data fusion in smart city applications (2019, background): “The disaster response management is also considered as another vital element for a smart city to carry out any potential counter measurements towards disaster as shown in [157].”
Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, background): “intelligent transportation with the help of cloud computing and VANETs technologies has also been proposed for disaster management systems in smart cities [188].”
Exploring the influence of big data on city transport operations: a Markovian approach (2017, background): “A number of our earlier works have considered both macro-level and micro-level modelling and simulation of road traffic and transportation, see e.g. (Alazawi et al., 2014b, 2012, 2011, 2011; Ayres and Mehmood, 2009; Elmirghani et al., 2006; Mehmood, 2007; Mehmood and Nekovee, 2007).”
UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies (2017, background): “In this respect, our earlier work on city transportation modelling, evacuation, and telematics, such as in [106]–[109], would be useful both from activity recognition and learning point of view.”