Trajectory data serves as the foundation for scientific research in traffic engineering, providing valuable insights for studies on traffic safety and the development of highly autonomous driving technologies. This paper introduces the CQSkyEyeX dataset, a comprehensive and large-scale collection of natural vehicle trajectory data from various scenes on China's expressways. The technical system of extracting trajectory data from high-resolution aerial video is also outlined. The dataset comprises 600 min of measurements from eight expressway locations, encompassing expressways’ basic sections, weaving segments, and merge/diverge segments. It encompasses rich road infrastructure information and a wealth of trajectory data indicators. To ensure accuracy, the trajectory data was validated using data acquisition instruments and manual measurements. The obtained results indicate trajectory position errors of typically less than 10 cm, velocity errors below 1.5 km/h, and evaluation indices for multi-target tracking, with MOTA and MOTP scores reaching 97.2% and 96.8%, respectively. By incorporating these comprehensive and fine-grained vehicle trajectory data, our dataset enables a more microcosmic analysis of vehicle behavior, facilitating in-depth investigations into traffic safety and related research areas. CQSkyEyeX dataset can be obtained online for free at www.cqskyeyex.com and continuously updated.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    CQSkyEyeX: A Drone Dataset of Vehicle Trajectory on Chinese Expressways


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Guo, Hongwei (editor) / Jiang, Xiaobei (editor) / Shi, Jian (editor) / Sun, Dongxian (editor) / Xu, Jin (author) / Pan, Cunshu (author) / Dai, Zhenhua (author) / Zhang, Heshan (author)

    Conference:

    International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022



    Publication date :

    2024-09-29


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Expressways

    Engineering Index Backfile | 1948


    Expressways of Hartford

    Twiss, F.E. | Engineering Index Backfile | 1947


    New expressways for Hartford

    Engineering Index Backfile | 1945


    Expressways for Urban County

    Engineering Index Backfile | 1955


    CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins

    Zheng, Ou / Abdel-Aty, Mohamed / Yue, Lishengsa et al. | Transportation Research Record | 2023