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Accident detection and action system using fuzzy logic theory

机译:基于模糊逻辑理论的事故检测与行动系统

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Intelligent Traffic light systems primarily focus on solving the traffic congestion problems with ever evolving algorithms. The solutions cater only to the problems based on traffic flow and density and does not include if an accident is causing the delay. There are various solutions that exist for detecting the accidents close to traffic control systems but most lack the capability to take the necessary action after the detection. This paper discusses an accident detection system based on fuzzy logic to detect an accident near a traffic light system and also provide a mechanism to ease the traffic flow with help from the Action system. The accident detection systems is based on fuzzy logic; but the algorithm used for calculation the cycle time and other parameters is based on modification of Webster Method and is called Dynamic Webster with Dynamic Cycle time (DWDC). The paper focuses in the working principles of the Accident Detection system based on the linguistic variables, membership function and the rules sets as part of the Fuzzy Logic system.
机译:智能交通信号灯系统主要致力于利用不断发展的算法解决交通拥堵问题。这些解决方案仅解决基于交通流量和交通密度的问题,不包括因事故造成的延误。存在用于检测交通控制系统附近的事故的各种解决方案,但是大多数解决方案缺乏在检测后采取必要措施的能力。本文讨论了一种基于模糊逻辑的交通事故检测系统,以检测交通信号灯系统附近的事故,并提供一种在动作系统的帮助下缓解交通流量的机制。事故检测系统基于模糊逻辑。但是用于计算周期时间和其他参数的算法是基于Webster方法的修改,被称为带动态周期时间的动态Webster(DWDC)。本文着眼于基于语言变量,隶属函数和规则集(作为模糊逻辑系统的一部分)的事故检测系统的工作原理。

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