The optimization of traffic signal light using artificial intelligence

In the past, when there were few vehicles on the road, the TOD (time of day) traffic signal worked very well. The TOD signal operates on a preset signal cycling which cycles on the basis of the average number of average passenger cars in the memory device of an electric signal unit. Nowadays, with increasing vehicles on restricted roads, the conventional traffic light creates prove startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle, so 30-45% of the conventional traffic cycle is not matched to the present traffic cycle. We propose an electrosensitive traffic light using a fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time is better than than fixed signal method which doesn't consider vehicle length.