Average speed control (ASC) is a speed measurement method based on the time and distance. The minimum distance between road sections is the requirement of the International Organization of Legal Metrology (OIML) for the distance between sections in ASC. In the past, the calculation of the distance between road sections in China was based on the minimum section road length obtained by driving motor vehicles in fixed lanes. This calculation method ignores the lane change of the motor vehicle, so this distance is not the minimum distance a motor vehicle can travel (theoretical minimum driving route distance). The theoretical minimum driving route distance is difficult to obtain through actual motor vehicle driving. In order to solve this problem, this research used unmanned aerial vehicle (UAV) technology to establish the three-dimensional (3D) road modeling. Based on 3D road modeling, we applied Dijkstra algorithm to obtain absolute theory minimum driving route distance. We compare the calculated theoretical minimum driving route distance with the road length obtained by traditional methods. The experimental results show that the calculated theoretical minimum driving route distance is lower than the road length in the section. It can be seen that the theoretical minimum driving route distance is more in line with OIML's international recommendations for the minimum distance requirements in ASC. At the same time, the accurate calculation of the theoretical minimum driving route distance can improve the accuracy and theory of speeding monitoring, which is of great significance to police traffic law enforcement and provides protection for people's driving safety.


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    Title :

    Calculation of the minimum distance of driving route for average speed control based on three-dimensional modeling


    Contributors:
    Tang, Hao (author) / Li, Jindong (author) / Chen, Xubo (author) / Zhou, Hongjie (author) / Yin, Lan (author) / Lin, Wenhui (author) / Deng, Qiuxi (author) / Deng, Jiqiu (author) / Xia, Yihong (author) / Zeng, Weixian (author)


    Publication date :

    2021-07-01


    Size :

    2821413 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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