  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.
