Application of simulation of queue relationships that occur and the timing of traffic lights on road crossings using fuzzy logic method

Abstract

The behaviour of motorists at intersections is determined by the road and vehicle density studies. Changes in behaviour are also determined by the time for the green light to be crossed. Therefore, the aim of this project is to see the behaviour of motorists and be able to control traffic by controlling traffic lights at an intersection. This project will also get the right width of the road to reduce congestion, with software applications that are capable of engineering wide roads at every intersection. To determine the time of the green light, the number of vehicles must be determined in advance. The fuzzy logic method and the standard green time value (NWHS) will determine the green light time on the road. The development method is divided into four settings namely vehicle counting, line counting, the calculation process and road signals. This vehicle calculation method is further strengthened by determining the width of the road that will be available to reduce congestion. However, in producing high accuracy in the green time interval (MH), the Fuzzy Logic method is included as an additional parameter based on the solid ratio of the vehicle from each side of the road and the width of the road. Overall results show that vehicle drivers are based on vehicle density and road width, the denser the vehicle, the longer the green light is turned on, the more positive the driver's behaviour.