基于机载激光雷达,针对交通异常数据的采集和处理问题展开探讨,在研究时设计了雷达信息采集系统,在处理机载激光雷达原始数据时,通过识别原始数据,确定异常数据,在操作时应用阈值理论、交通流理论,解决缺失数据问题。为达到修正错误数据的目标,采用埃特金插值算法验证有效性;在对机载激光雷达数据进行数据修正后进行实例分析,检测数据来自于辽宁某城市二环路,调查周期为16 h,数据研究的时间段确定为2020 年7 月22 日7∶00∶00-22∶ 57∶00。结果在08 ∶27∶00 时刻,正确数据满足68. 89≤vt≤71. 77。以五阶插值结果为起点,经过检测后确定四阶插值结果率处于误差范围内,在08∶27∶00 时刻错误数据修正为68. 979 8,解决了交通异常数据的采集及修正。

This paper discusses the collection and processing of traffic abnormal data, and designs a radar information collection system based on airborne lida. When processing the original data of airborne lidar, it identifies the abnormal data by identifying the original data, and applies threshold theory and traffic flow theory to solve the problem of missing data. In order to correct the wrong data, etkin interpolation algorithm is used to verify the effectiveness; After the data correction of airborne lidar, an example is analyzed. The detection data is from the second ring road of a city in Liaoning Province, and the investigation period is 16 hours. The time period of data research is determined as 7∶00∶00-22∶57∶00 on July 22, 2020. Results at 08∶27∶00, the correct data was 68. 89≤vt≤71. 77. Taking the fifth order interpolation result as the starting point, after detection, it is determined that the fourth-order interpolation result rate is within the error range, and the error data is corrected to 68. 979 8 at 08∶27∶00, which solves the problem of traffic abnormal data collection and correction.

P21

湖北省自然科学基金资助项目（2016CFB536）