不同渗透率下自动驾驶混合交通流在天气条件影响下的通行能力建模

随着世界范围内对自动驾驶汽车及其相关产业发展的高度重视,自动驾驶车辆上路已成为重点领域协同创新、构建未来交通系统的重要载体。本文主要研究自动驾驶车辆不同渗透率参与的混合交通流受场景天气条件的耦合影响因素下的复杂车辆行为逻辑分析,影响机理解析,跟驰模型及通行能力模型构建等。最后我们通过SUMO仿真实验对模型进行嵌套及分析,以期对自动驾驶汽车在测试及上路引导中起到重要理论决策依据。

Autonomous Driving Mixed Traffic Flow under Diff erent Penetration Rates under the Infl uence of Weatherc Conditions Capacity modeling

As the world attaches great importance to the development of autonomous vehicles and related industries,autonomous vehicle launch test gradually becomes an important carrier for collaborative innovation in key areas and the construction of future transportation systems.Our paper mainly studies the logic analysis of complex vehicle behavior in the mixed traffic flow with autonomous vehicles under different penetration rates,considering the coupled influence factors of the scene weather conditions.We also analyze its influence mechanism,the construction of the car-following model and the capacity model for the mixed traffic flow with autonomous vehicles.Finally,we simulate and analyze the above models through the SUMO simulation experiment,which plays an important theoretical basis for the test and road guidance of the automatic driving vehicle.