Vehicle's Movement Control by Fuzzy Inference System Controller for a Collision Avoidance system
Keywords:
Fuzzy Inference, Fuzzy Logic, Vehicle Movement, Collision AvoidanceAbstract
This work suggests using a fuzzy inference system controller to control vehicle movement. In a traffic lane scenario, it aids in the avoidance of collisions. It makes use of the fuzzy controller idea to both prevent collisions and regulate vehicle movement beneath roadside areas. The system's performance is assessed using a variety of metrics. It shows the situation where there are two or four cars in a single or two-lane stretch of road. It uses a controller to adhere to the left-side travel rule in every case. The controller is also used to present the vehicle's projected course. Additionally, their propagation velocity is assessed and quantified. In order to prevent unintentional collisions, it is helpful to determine the angle of propagation and the separation between other vehicles.
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