  In this paper we demonstrate how one of the most powerful methods in
mathematics and statistics can be used to optimally control and reduce traffics
in smart cities. The main goal of the present work is to use the least squares
method [5] to identify the best location of a portable drone station in a
metropolitan city. By the best location we mean a location that is closest to
traffic congestions and accidents that may occur on a daily basis. It is
generally accepted that drones will play a key role in smart city environments
in the near future. Drones will provide different types of public service, such
as emergency response, disaster relief, and traffic control
