Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Research on Matching Method Between Highway Mileage Pile Number and Geographical Coordinates

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322778,
        author={Zesheng  Wang and Xinxiu  Zhang},
        title={Research on Matching Method Between Highway Mileage Pile Number and Geographical Coordinates},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={mileage stake; geographic coordinates; dynamic segmentation; linear interpolation},
        doi={10.4108/eai.17-6-2022.2322778}
    }
    
  • Zesheng Wang
    Xinxiu Zhang
    Year: 2022
    Research on Matching Method Between Highway Mileage Pile Number and Geographical Coordinates
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322778
Zesheng Wang1, Xinxiu Zhang1,*
  • 1: Gansu Hengshi highway inspection technology Co., Ltd
*Contact email: 1822543914@qq.com

Abstract

In 2019, the mileage of some roads across the country changed, and the highway mileage was readjusted and confirmed, resulting in that the old and new mileage could not be matched and applied. According to the Mileage stake data and geographic coordinate data collected by the multi-functional road intelligent comprehensive detection vehicle, the unknown whole kilometer stake and the corresponding geographic coordinate are obtained by applying the dynamic segmentation and linear interpolation method. The algorithm studied in this paper is verified based on ArcGIS to analyze the accuracy of the matching method. After the adjustment of road network naming and numbering, it is difficult to trace the source to adjust the historical attribute information, evaluation indicators, historical maintenance and other data, so as to provide a scientific reference basis for the study of intelligent maintenance decision-making and a query management method for road managers.