Car-Following Model Based Analysis of Mixed Traffic Flow Characteristics

In order to study the characteristics of mixed traffic flow with both autonomous vehicles and manual vehicles, a simulation method is proposed. Firstly, the Krauss model is selected as the car-following model, and we also analyze the model in detail. Secondly, three types of traffic scenarios are reconstructed based on SUMO. By setting corresponding model parameters to distinguish between the two types of vehicles, and then simulation is carried out for each scenario, by changing the proportion of autonomous vehicles increases gradually from 0 to 100 at the rate of 10%. Finally, the simulation results demonstrate that with the increase of autonomous vehicles, road travel time is gradually decreasing while the total number of vehicles remains the same. Therefore, the analysis results strongly prove that autonomous vehicles can effectively improve the travel efficiency of roads.