With the advent of the era of big data, efficient transportation plan decision-making and management are inseparable from the support of traffic big data. The license plate recognition data of road intersection video monitoring has the advantages of mature collection methods, low additional cost, high data accuracy and wide application range. Based on the license plate recognition data of a city traffic electronic police system, this paper firstly presents the sources of license plate recognition data and analyzes the data structure and features; then based on the MySQL database, the grouped character stitching method is used to construct a vehicle trajectory database, which contains the spatial trajectory and time trajectory of each vehicle in one day; finally, the map matching is combined with the GIS system to realize the visualization of the vehicle trajectory. The travel trajectory of motor vehicles in the region is accurately extracted, and the travel expectation line is completely presented. The results show that there are 115,466 motor vehicles traveling in the city in one day, and the trajectory map composed of all vehicles shows the expectations of urban motor vehicle travel, indicating that the motor vehicle trajectory visualization method in this paper has good operability and practicality.


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    Title :

    Visualization Method of Urban Motor Vehicle Trajectory Based on License Plate Recognition Data


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Bie, Yiming (editor) / Gao, Kun (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Xu, Minggui (author) / Rao, Bin (author) / Li, Yue (author) / Qi, Weiwei (author)

    Conference:

    Proceedings of KES-STS International Symposium ; 2023 ; Rome, Italy June 14, 2023 - June 16, 2023



    Publication date :

    2023-06-15


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English