Group control of connected and autonomous vehicles on automated highways is challenging for the advanced driver assistance systems (ADAS) and the automated driving systems (ADS). This paper investigates the differential game-based approach to autonomous convoy control with the aim of deployment on automated highways. Under the non-cooperative differential games, the coupled vehicles make their decisions independently while their states are interdependent. The receding horizon Nash equilibrium of the linear-quadratic differential game provides the convoy a distributed state-feedback control strategy. This approach suffers a fundamental issue that neither a Nash equilibrium's existence nor the uniqueness is guaranteed. We convert the individual dynamics-based differential game to a relative dynamics-based optimal control problem that carries all the features of the differential game. The existence of a unique Nash control under the differential game corresponds to a unique solution to the optimal control problem. The latter is shown, as well as the asymptotic stability of the closed-loop system. Simulations illustrate the effectiveness of the presented convey control scheme and how it well suits automated highway driving scenarios.
翻译:自动高速公路上连接和自主车辆的分组控制对先进的驾驶协助系统(ADAS)和自动驾驶系统(ADS)具有挑战性。本文调查了以不同游戏为基础的独立车队控制方法,目的是在自动化高速公路上部署。在不合作的差别游戏下,交配车辆独立作出决定,而其状态是相互依存的。线性-赤道差异游戏的退缩地平线纳什平衡为车队提供了分散的州-区-区差异控制战略。这一方法遇到一个根本问题,既不能保证纳什平衡的存在,也不能保证其独特性。我们将个人动态差异游戏转化为一个带有差别游戏所有特点的相对动态最佳控制问题。在差别游戏下存在独特的纳什控制,相当于最佳控制问题的独特解决办法。后者显示,以及封闭式环系统的无症状稳定性。模拟说明了所提出的传送控制计划的有效性及其如何适合自动化高速公路驾驶方案。