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How should an autonomous vehicle overtake a slower moving vehicle: design and analysis of an optimal trajectory

机译:自动驾驶汽车应如何超越慢速行驶的汽车:最佳轨迹的设计和分析

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Over the past few years, there has been much research on various aspects of control of autonomous vehicles. However, it seems that the problem of overtaking a slower moving vehicle has been somewhat neglected. This note deals with the three-phase overtaking maneuver and with designing a smooth and ergonomic optimal lane-change trajectory to be used under normal conditions. It is shown that the absolute shape, size, and time of the first-phase trajectory do not depend on the velocity of the leading, slower moving vehicle. Only the absolute point for initiating the diversion is affected. The relatively simple mathematical model for each lane-change trajectory is based on minimizing the total kinetic energy during the maneuver, superimposed on a "minimum-jerk trajectory." For high enough initial velocities, explicit formulas are obtained for the optimal distance and the optimal time of the maneuver. It is also shown that the total time is bounded from above and below, regardless of the velocity. By using the results of the suggested model, an autonomous vehicle, equipped with appropriate sensors, can estimate the best time and place to begin and end the overtaking and its total time and distance. This may help to make a decision whether to overtake or not.
机译:在过去的几年中,对自动驾驶汽车的控制的各个方面进行了大量研究。但是,似乎已经忽略了超越行驶速度较慢的车辆的问题。本说明涉及三相超车操作,并设计了在正常条件下使用的平滑且符合人体工程学的最佳车道变换轨迹。结果表明,第一相轨迹的绝对形状,大小和时间不取决于领先的,行驶速度较慢的车辆的速度。仅引发转移的绝对点受到影响。每个车道变换轨迹的相对简单的数学模型基于最小化操纵过程中的总动能,并叠加在“最小加速度轨迹”上。对于足够高的初始速度,可以获得关于最佳距离和最佳操纵时间的明确公式。还显示了总时间从上方和下方有界,与速度无关。通过使用建议模型的结果,配备有适当传感器的自动驾驶汽车可以估计开始和结束超车的最佳时间和地点及其总时间和距离。这可能有助于做出是否超车的决定。

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