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

Traffic Management in Smart Cities Using the Weighted Least Squares Method