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An Embedded Fuzzy Logic Based Application for Density Traffic Control System

机译:基于嵌入式模糊逻辑的交通控制系统应用

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The control of density traffic at cross junction road usually manned by human efforts or implementation of automatic traffic light system. This system seem and proves to be inefficient with some challenges. The major constraints of this traffic control are as a result of the inability of most traffic control systems to assign appropriate waiting time for vehicles based on the lane density. Also with little or no consideration for pedestrians, emergency and security agents priorities. In view of this, an intelligent density traffic control system using? (fuzzy logic) which is capable of providing priority to the road users based on the density and emergency situations was developed and presented in this paper. This system will obtain the approximate amount of vehicle and presence of pedestrians respectfully on each lane with help of Infrared Sensors (IR) and siren detection system for emergency and security road users. The working principle of this system depending on the logic inputs rules given into the processing unit by the (sensors, S1 and S2) which helps the system to generates a timing sequence that best suit the number of vehicles and pedestrians available on the lane at point in time.
机译:对交叉路口的密度交通的控制通常是由人为努力或实施自动交通信号灯系统来进行的。这个系统似乎效率低下,并面临一些挑战。这种交通控制的主要限制是大多数交通控制系统无法根据车道密度为车辆分配适当的等待时间的结果。同样很少或根本不考虑行人,紧急情况和安全人员的优先事项。鉴于此,智能密度交通控制系统采用什么?本文提出并提出了一种(模糊逻辑),它能够根据密度和紧急情况向道路使用者提供优先权。该系统将借助红外传感器(IR)和警报器检测系统分别为紧急和安全道路用户提供大约每辆车道上的车辆和行人的大致数量。该系统的工作原理取决于(传感器,S1和S2)在处理单元中给出的逻辑输入规则,这有助于系统生成最适合点上车道上可用车辆和行人数量的时序及时。

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