首页> 外文会议>COTA international conference of transportation professionals >Vehicle Trajectory Restoration Based on Vondrak Filtering and Cubic Spline Interpolation
【24h】

Vehicle Trajectory Restoration Based on Vondrak Filtering and Cubic Spline Interpolation

机译:基于Vondrak滤波和三次样条插值的车辆轨迹恢复

获取原文

摘要

Vehicle trajectory records the vehicle location and time sequence, which is significant for the travel state analysis and road accidents forecast. In order to repair the fault data of vehicle location and time updates resulted from Global Position System (GPS) data transmission interruption and resolve problems of vehicle trajectory information lack. This paper studies vehicle trajectory restoration, designing a distributed model for vehicle restoration trajectory, using Vondrak filtering to smooth the travel trajectory and then repairing latitude and longitude information by using cubic spline interpolation. The vehicle trajectory can be got by the merger of latitude and longitude information. Restoration methods are verified by MATLAB under simulation. The results show that the algorithm error is 6.01 ×10(-5), which is able to guarantee the accuracy of vehicle trajectory information and provide relatively accurate data to support researches based on travel trajectory.
机译:车辆轨迹记录了车辆的位置和时间顺序,这对于行驶状态分析和道路事故预测具有重要意义。为了修复由于全球定位系统(GPS)数据传输中断而导致的车辆位置和时间更新的故障数据,并解决了车辆轨迹信息不足的问题。本文研究了车辆的轨迹恢复过程,设计了车辆恢复轨迹的分布式模型,利用Vondrak滤波平滑了行驶轨迹,然后通过三次样条插值法对经纬度信息进行了修复。可以通过合并经纬度信息来获得车辆的轨迹。通过仿真验证了MATLAB的恢复方法。结果表明,算法误差为6.01×10(-5),可以保证车辆轨迹信息的准确性,并提供相对准确的数据,以支持基于行驶轨迹的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号