Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System

Author:

Anuj Abraham, Yi Zhang, Shitala Prasad

Keyword:

Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI), Computers and Society (cs.CY), Machine Learning (cs.LG), Networking and Internet Architecture (cs.NI)

journal:

date:

2024-03-07 00:00:00

Abstract

A smart city solution toward future 6G network deployment allows small and medium sized enterprises (SMEs), industry, and government entities to connect with the infrastructures and play a crucial role in enhancing emergency preparedness with advanced sensors. The objective of this work is to propose a set of coordinated technological solutions to transform an existing emergency response system into an intelligent interactive system, thereby improving the public services and the quality of life for residents at home, on road, in hospitals, transport hubs, etc. In this context, we consider a city wide view from three different application scenes that are closely related to peoples daily life, to optimize the actions taken at relevant departments. Therefore, using artificial intelligence (AI) and machine learning (ML) techniques to enable the next generation connected vehicle experiences, we specifically focus on accidents happening in indoor households, urban roads, and at large public facilities. This smart interactive response system will benefit from advanced sensor fusion and AI by formulating a real time dynamic model.

PDF: Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System.pdf