2018 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService) (2018)
Mar 26, 2018 to Mar 29, 2018
Climate change is responsible for a number of physical disasters that cost the loss of many lives every year. Additionally, the increased terrorism in global level rises the need of accurate information and security of the population. Taking this into consideration, there is an increased necessity of a framework that provides decision support services to Urban Transport System (UTS) related authorities. Even though the majority of existing safety systems are able to generate evacuation plans, few of them consider the effect of an emergent event over the road network. Additionally, there is a gap in the communication between the authorities and the general public during the emergencies. This work presents a multidimensional framework that processes and seamlessly fuses information from the road network, the emergent event, weather conditions, traffic related data and personalized information of the involved users, providing decision support services and information to UTS authorities. In addition, the framework provides critical information and personalized route guidance to the general public through a mobile application. The proposed framework introduces the collaborative rescue procedure, where users that are in danger can declare it via the mobile application, while willing citizens can be assigned and guided by the system in order to help others. The existence of a centralized management system in conjunction with a decentralized mobile application facilitates the management of the emergency and the implementation of the respond plan.
decision support systems, disasters, emergency management, emergency services, mobile computing, road traffic, sensor fusion, terrorism, traffic engineering computing, transportation
A. Zamichos, T. Theodorou, A. Drosou and D. Tzovaras, "An Evacuation Management Framework Based on Urban Data and Personalized Mobility Information," 2018 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService), Bamberg, Germany, 2018, pp. 121-128.