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In recent years, with the gradual development of artificial intelligence, as one of the important branch applications, intelligent transportation is also developing rapidly, and the research of autonomous vehicles has also attracted more and more attention. With the increase in vehicle ownership and the increase in road congestion, the improvement of transportation efficiency has always been an urgent problem. With the development of autonomous vehicles, the impact of the application of autonomous vehicles on travel efficiency has become an important research subject. This article uses sumo to build an urban road network to simulate real road scenes, and to study the impact of autonomous vehicles on traffic flow by controlling the operating parameters of autonomous vehicles in the traffic flow.