Journal of South China University of Technology(Natural Science) >

2024 , Vol. 52 >Issue 6: 56 - 72

DOI: https://doi.org/10.12141/j.issn.1000-565X.230314

Green & Intelligent Transportation

Quality Assessment Method of Vehicle Trajectory Data from Roadside Perception

  • LEI Cailin ,
  • ZHAO Cong ,
  • LOU Ren ,
  • JI Yuxiong ,
  • DU Yuchuan
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  • 1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education，Tongji University，Shanghai 201804，China
    2.Research and Development Center of Transport Industry of New Generation of Artificial Intelligence Technology，Zhejiang Scientific Research Institute of Transport，Hangzhou 310023，Zhejiang，China

Received date: 2023-05-10

  Online published: 2023-10-24

Supported by

the National Key Research and Development Program of China(2022YFF0604900);the National Natural Science Foundation of China(52302415)

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Abstract

Roadside sensors have been widely installed on highways to collect full-sample real-time vehicle trajectory data, which supports full time and space control of traffic flow, microscopic driving behavior analysis, etc. However, rapid evaluating data quality is a challenge for management departments. Data quality evaluation methods in previous studies are limited to complicated operation and single dimension, which cannot meet the quality evaluation requirements of real-time vehicle trajectory data in dynamic traffic flow. In order to rapidly evaluate the quality of vehicle trajectory data from roadside millimeter-wave radar, a data quality evaluation method is proposed through mining the information of data. First, based on the typical errors of the measured trajectory data, 9 secondary evaluation metrics are established from four perspectives, including trajectory completeness, consistency, accuracy, and validity. Then, the comprehensive metric is calculated based on the CRITIC weighting method. Finally, an empirical analysis is conducted based on the vehicle trajectory data (3 549 in total) obtained by millimeter-wave radars in four different scenarios. The results show that the installation type and model of the millimeter-wave radar obviously influence the quality of vehicle trajectory data., and that the proposed evaluation method can distinguish the quality differences of vehicle trajectory data effectively. This study provides a support for the short-term performance decay monitoring and the type selecting of roadside sensors. Also, it gives a reference for improving the quality of vehicle trajectory data.

Key words： intelligent transportation; roadside millimeter-wave radar; vehicle trajectory data; data quality; CRITIC weighting method; evaluation metrics system

Cite this article

LEI Cailin , ZHAO Cong , LOU Ren , JI Yuxiong , DU Yuchuan . Quality Assessment Method of Vehicle Trajectory Data from Roadside Perception[J]. Journal of South China University of Technology(Natural Science), 2024 , 52(6) : 56 -72 . DOI: 10.12141/j.issn.1000-565X.230314

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