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Proactive Control of Traffic in Smart Cities

机译：主动控制智慧城市的交通

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摘要

The excessive growth of modern cities generates major problems in public administration. One problem is the control of traffic flow during peak hours. In this paper we propose a solution to the problem of vehicular control through a proactive approach based on Machine Learning. Through our solution, a traffic control system learns about the traffic flow in order to prevent future problems of long queues waiting at traffic lights. The traffic system architecture is based on the principles of Autonomic Computing to change the timers of the lights automatically. A simulation of the streets on a smart city and a tool based on Weka were created in order to validate our approach.
机译：现代城市的过度增长在公共行政中产生了重大问题。一个问题是在高峰时段控制交通流量。本文通过基于机器学习的主动方法提出解决车辆控制问题的解决方案。通过我们的解决方案，交通管制系统了解交通流量，以防止在交通灯等待等待的长队列的未来问题。交通系统架构基于自主计算的原理，以自动更改灯的定时器。创建了智能城市街道的仿真和基于Weka的工具，以验证我们的方法。

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