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Research on Local Dynamic Path Planning Method for Intelligent Vehicle Lane-Changing

机译:智能车道通道局部动态路径规划方法研究

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A local dynamic path planning method is proposed to compensate for the lack of consideration of the movement state of surrounding vehicles, the poor comfort, and the low traffic efficiency when the existing vehicle changes lanes automatically. Firstly, the cubic polynomial is predefined, and the optimal track path is solved. According to the real-time information of environment perception, the model is continuously modified by acquiring real-time information in the course of path planning, and the regional safety of the vehicle is realized. The Carsim and simulink simulation results and actual vehicle verification show that, compared with the traditional nondynamic research method, this method can effectively solve the problem that the vehicle speed variation and the sudden intrusions of the vehicle leading to the compulsory operation of the vehicle during the course of lane-changing. The safety is also improved. In order to ensure the vehicle comfort and stability, the lane-changing time is shortened by 20%, and the efficiency of lane-changing is improved obviously.
机译:提出了一种局部动态路径规划方法以补偿缺乏对周围车辆的运动状态,舒适性差和低交通效率的缺乏考虑,当现有车辆自动改变车道时。首先,立方多项式是预定义的,并且解决了最佳轨道路径。根据环境感知的实时信息,通过在路径规划过程中获取实时信息来连续修改模型,并且实现了车辆的区域安全性。 CARSIM和SIMULINK仿真结果和实际车辆验证表明,与传统的Nondynamic研究方法相比,该方法可以有效地解决了车辆速度变化和车辆突然入侵的问题,导致车辆的强制运行车道变化过程。安全性也有所改善。为了确保车辆的舒适性和稳定性,车道改变时间缩短了20%,并且通道变化的效率明显提高。

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