This paper summarizes the current state of microscopic and macroscopic traffic models, characteristic analysis methods of mixed traffic flow, and lane management methods in connected vehicle environments. There are more and more relevant theories, methods and systems. Intelligent transportation has become a hot research field in recent years The development direction of road traffic construction in the future, the relevant technologies and methods in the process of gradual promotion and application of intelligent connected vehicles continue to attract the attention of scholars and engineers. The results show that: (1) a greater platoon size leads to the increase of traffic capacity while it is harmful to the maintenance of traffic flow stability (2) the platoon size is recommended to be set at 4 to 6 to balance the relationship between traffic capacity and stability (3) a more significant platoon intensity can help improve the traffic capacity and stability (4) the penetration rate of CAVs has a positive effect on the traffic flow stability until it increases to a certain degree. Numerical experiments are adopted to analyze the influence of the characteristics of the CAVs platoon on stability. Finally, the general condition of mixed traffic flow stability considering the platoon size and intensity of CAVs is developed. The influence factors of the fundamental diagram under the critical scenarios are discussed. Then, the general model framework of the fundamental diagram of the mixed traffic flow is established. Based on the platoon intensity and Markov chain, the proportion of different types of vehicles in the mixed traffic flow is deduced. Firstly, the spatial distribution of vehicles in the mixed traffic flow is analyzed. Considering the platoon size and intensity of connected automated vehicles (CAVs), this paper studies the fundamental diagram and stability of mixed traffic flow. The connected automated vehicle platoon is a critical organizational form of the intelligent transportation system in the future. These preliminary working will be a foundation for our future work in this area. Results illustrate the lane capacity increased significantly when market penetration of CACC vehicles added, however platoon size have little impact on traffic capacity. Finally different market penetration and platoon size of CACC are tested. VEHICLE SIMULATOR FRAMEWORK DRIVERThen a platoon with 6 CACC vehicles is simulated to examine the interactions in a platoon and how they react to shockwaves microscopically, which in turn verify the driver model partly. Maneuvers like forming, adjusting, splitting, dismissing and joining in a platoon are implemented under the simulation platform. By using the application programming interface in microscopic-traffic simulation, the aim that constructing simulation framework of CACC platoon is achieved. This paper studies the traffic assistance system consisting of different kinds of vehicles (manual, Adaptive Cruise Control (ACC) and Cooperative Adaptive Cruise Control (CACC) vehicle).
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