In order to improve the uniformity of wheel track transverse distribution when vehicles drive on asphalt pavement, delay the development of the asphalt pavement disease, and effectively avoid the waste of asphalt pavement design and maintenance resources, the relationship between vehicle wheel track distribution and road surface disease distribution is analyzed by the accurate identification method of traffic axle load dividing lane based on surveillance video, and then the influence of lane markings on wheel track distribution and asphalt pavement diseases was studied. Results show that: (1) The proportion and distribution of different vehicle types are accurately identified by SVM classifier based on object detection algorithm; (2) There was a high consistency between the distribution of asphalt pavement load-type diseases and the lateral distribution of vehicle wheel tracks; (3) The vehicle trajectory and pavement disease distribution on the asphalt pavement distributed more evenly if lane markings were swung and shifted. Based on above results, the swing and shifting method of lane markings, is proposed to achieve the redistribution of asphalt pavement wheel tracks by "swing and shifting" of lane markings. By using this method, the effective utilization rate of asphalt pavement could be improved, and asphalt pavement diseases could be improved, thus the service life of asphalt pavement could be extended. It provides a new idea for future maintenance of the asphalt pavement.


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    Title :

    Swing and shifting method of lane markings of divided lanes based on accurate identification method


    Contributors:
    Mikusova, Miroslava (editor) / Chen, Yu (author) / Huang, Kaoqu (author) / Xu, Wenjun (author) / Hao, Jinhai (author) / Zhou, Xianlong (author) / Yan, Bozhi (author) / Zhu, Chuanjiang (author) / Shen, Jun (author) / Huang, Jinyan (author)

    Conference:

    International Conference on Smart Transportation and City Engineering (STCE 2023) ; 2023 ; Chongqing, China


    Published in:

    Proc. SPIE ; 13018


    Publication date :

    2024-02-14





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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