An Embedded Fuzzy Logic Based Application for Density Traffic Control System

Ajao Lukman Adewale, Ajao Falilat Jumoke, M. Adegboye, Abideen A. Ismail
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引用次数: 14

Abstract

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.
嵌入式模糊逻辑在高密度交通控制系统中的应用
十字路口密集交通的控制通常由人工控制或采用自动交通灯系统。这个系统似乎是低效的,并证明了一些挑战。这种交通控制的主要限制是由于大多数交通控制系统无法根据车道密度分配适当的车辆等待时间。也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,本文开发并提出了一种基于密度和紧急情况为道路使用者提供优先级的(模糊逻辑)智能密度交通控制系统。该系统将通过红外传感器(IR)和紧急和安全道路使用者的警报器检测系统,获得每条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)给处理单元的逻辑输入规则,这有助于系统生成最适合时间点车道上可用车辆和行人数量的时序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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