A Customized Evacuation Route Planning Algorithm for Highly Risky Smart Cities

This paper presents a strategy to choose an evacuation route of several places in a city such as: buildings, plazas, sectors of the city, etc. This strategy makes use of a distributed client-server system where the client software has information about the user while the server software has an algorithm that decides which evacuation route is the most appropriate for the person. It considers two objectives: minimize travel time to the refuge, and minimum-risk route. This distributed system is suitable for smart cities with open databases because it helps users to choose an evacuation route based on health issues, city's services available and help users in case of emergency.