论文标题
部分可观测时空混沌系统的无模型预测
Traffic Management in Smart Cities Using the Weighted Least Squares Method
论文作者
论文摘要
在本文中，我们演示了如何使用数学和统计中最强大的方法之一来最佳控制和减少智能城市的贩运。本工作的主要目标是使用最小二乘方法[5]来确定大都市中便携式无人机站的最佳位置。在最佳位置，我们是指每天可能发生的交通拥堵和事故最接近的位置。人们普遍认为，无人机将在不久的将来在智能城市环境中发挥关键作用。无人机将提供不同类型的公共服务，例如紧急响应，救灾和交通管制
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
