自动驾驶与常规交通混合条件下通行能力研究

Research on Traffic Capacity under Mixed Conditions of Autonomous Driving and Conventional Traffic

随着自动驾驶技术不断升级,现有交通设施的容量也相应随着技术的革新发生变化,传统车辆不会立即退出历史舞台,在未来一段时间内自动驾驶车辆将和传统车辆共用现有的基础设施,因此开展混合交通条件下通行能力的研究有助于重新审视既有交通设施的容量,并对这种场景下管理及技术发展方向提供一定的指导作用。结合自动驾驶车辆的运行特征,研究不同自动驾驶混入率条件下各参数对宏观道路潜在通行的影响,利用概率论及蒙特卡洛方法进行理论计算,模拟自动驾驶车辆出现在车队的位置和时空需求,并对不同的组队策略进行详细分析,粗略估计在混合交通状况下交通能力提升的趋势和影响程度,为混合通行能力的测算提供了一种方法,并提出管理和自动驾驶技术的发展方向,为进一步适应自动驾驶技术的变革提供了有益参考。

With the continuous upgrading of autonomous driving technology,the capacity of existing transportation facilities will also change with technological innovation.Traditional vehicles will not immediately withdraw from the historical stage.In the future,autonomous vehicles will share the existing infrastructure with traditional vehicles.The research on the traffic capacity under mixed traffic conditions will help to re-examine the capacity of existing transportation facilities.And some guidance on the direction of management and technological development in this scenario is provided.Combined with the operation characteristics of autonomous vehicles,the impact of various parameters on the potential traffic of macro roads under the conditions of different autonomous driving mixing rates is studied.The probability theory and Monte Carlo method are used to theoretically calculate and simulate the position and space-time demand of autonomous vehicles in the fleet,and analyze the different teaming strategies in detail.The trend and impact degree of traffic capacity improvement under mixed traffic conditions are roughly estimated.A method for calculating the mixed traffic capacity is put forward and the development direction of management and autonomous driving technology is proposed,which provide the useful reference for further adapting to the transformation of autonomous driving technology.