基于模型预测控制的双车道单向道路自动驾驶策略决策

J. Nilsson, J. Sjöberg
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引用次数: 66

摘要

本文提出了一种策略决策算法,用于判断何时变道和超车是可取的和可行的。该算法将双车道单行道上的驾驶任务视为所需车道和速度剖面的选择,在速度控制方面提供了有用的结果,并提供了一个与是否应该进行变道操作相对应的决策变量。决策过程通过混合逻辑动力系统建模,采用混合整数规划公式进行模型预测控制。通过对双车道单行道上不同驾驶场景的仿真,对所提出的控制系统的性能进行了研究,结果表明该系统能够根据交通状况实现适当的纵向和横向控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic decision making for automated driving on two-lane, one way roads using model predictive control
This paper presents an algorithm for strategic decision making regarding when lane change and overtake manoeuvres are desirable and feasible. By considering the task of driving on two-lane, one-way roads, as the selection of desired lane and velocity profile, the algorithm provides useful results in terms of velocity control as well as a decision variable corresponding to whether a lane change manoeuvre should be performed. The decision process is modelled through a mixed logical dynamical system which is solved through model predictive control using mixed integer program formulation. The performance of the proposed control system is explored through simulations of varying driving scenaria on a two-lane, one-way road, which shows the capability of the system to achieve appropriate longitudinal and lateral control strategies depending on the traffic situation.
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