一种响应变道车辆的最优汽车跟随行为:基于bsamzier曲线的方法

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Gihyeob An;Jun Han Bae;Alireza Talebpour
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引用次数: 1

摘要

突然的变道动作会扰乱交通。在本文中,我们介绍了一种在互联驾驶环境中,针对变道车辆优化汽车跟随行为的方法。我们的方法在时间-空间图中利用二次bsamzier曲线来表示汽车跟随行为。该算法在考虑驾驶舒适性、交通影响和安全性的同时,适应前方车辆(即道路上的变道车辆)的突然中断。我们推导了初始制动和减速曲线上的加速度项和因子,以生成一个安全的轨迹。我们的方法在MATLAB中进行了仿真,并针对伊利诺伊州芝加哥收集的真实变道轨迹数据进行了测试。结果表明,当提供变道轨迹时,我们的方法产生了一个安全的轨迹曲线,该曲线根据首选驾驶模式进行调整。该方法为设计安全的汽车跟随行为提供了一种有用的方法,同时考虑了互联驾驶环境中对上游交通的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimized Car-Following Behavior in Response to a Lane-Changing Vehicle: A Bézier Curve-Based Approach
Sudden lane-changing maneuvers can disrupt the traffic flow. In this paper, we introduce an approach to optimize car-following behavior in response to a lane-changing vehicle in a connected driving environment. Our approach utilizes a quadratic Bézier curve in the time-space diagram to represent the car-following behavior. The algorithm adapts to sudden interruptions from the leading vehicle (i.e., the lane-changing vehicle on the road) while considering driving comfort, traffic impacts, and safety. We derive the acceleration term and factor in initial braking and speed reduction along the curve to generate a safe trajectory for car-following behavior. Our approach was simulated using MATLAB and tested against real-world lane-changing trajectory data collected in Chicago, IL. Results show that our approach produces a safe trajectory curve that adjusts according to the preferred driving pattern when provided with a lane-changing trajectory. This approach provides a useful means of designing safe car-following behavior while considering the impact on upstream traffic in a connected driving environment.
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CiteScore
5.40
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