Study on intersection traffic lights timing optimization system based on sparrow algorithm

With the rapid growth of urbanization in China, traffic congestion, excessive exhaust emissions and energy consumption are becoming increasingly serious. This paper proposes a single intersection traffic signal timing optimization method based on sparrow algorithm. The four objectives of the road level traffic index data (Travel Time Index, TTI), traffic delay time, queue length and vehicle average carbon emissions are optimized. The sparrow algorithm is used to solve the timing of single intersection signal lights, and the VISSIM simulation platform is secondary developed to verify the energy-saving benefits of the method. The simulation platform test shows that, under the single intersection traffic signal timing optimization scheme, the average queue length of the intersection decreases by 26.26% compared with the non-active state, the delay time decreases by 27.64%, the intersection throughput increases by 13.94%, the TTI index increases by 43.4%, and the average carbon emission decreases by 31.89%, which has a significant effect on reducing the emission of single intersection.