Mobile Crowdsensing Application for Smart City Crisis Management

The aim of this project is to demonstrate a proposed generic architecture for smart cities applications initiatives and apply a crisis management system for smart cities on that architecture. As cities are becoming many and larger, and they act like magnets to attack people, thus, cites are very complex organisation and defined by many dimensions, which make their management a very tough task and more likely to fall into a crisis situation. With the emerging popularity of smart cities, first initiatives attempts were mostly focused on the ICT technologies (Internet of things, Big data, Cloud computing, Mobile computing and Data visualisation), but building large systems on technology basis in an multidimensional environment is actually not efficient to generate the desired knowledge for expecting answers to a modern city needs, and a blind use of technology can be very cost and time consuming while the results are not very effective. The architecture proposed for the solution is based on the mobile crowdsensing (MCS) paradigm focusing not only on technology but on the human and the governance aspects as well, and take its benefits from the cloud computing and the mobile computing, while the system on top take into account all the phases of crisis management cycle, and tries to adjust each phases dynamically into modules defining the adequate data flows and the necessary processes for the operability of the solution.