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- W4206752153 abstract "A large number of Electronic Toll Collection(ETC) gantry systems were built after the abolition of provincial border toll stations. In order to ensure the information integrity of ETC gantry equipment, a statistical model of mileage based on trajectory data is proposed to solve the problem of Expressway gantry equipment with missing spatial information and low information accuracy. In view of this, firstly, the section trajectory matrix is obtained by combining the trajectory data of special transportation vehicles and the transaction data of ETC gantry system through data pre-processing and feature construction. Secondly, the section road data is obtained through the GAODE API, and the densification process is performed on the data. Then, a section distance identification model based on section trajectory matrix and road network features is constructed. Finally, the distance-based spatial information extraction algorithm achieves the identification of the target gantry geographic location. Experiment on 119 gantry equipment in Fujian Province, both transaction data and trajectory data are from Fujian Expressway Group Co., Ltd. The extraction results demonstrate that 95% of the gantry coordinate accuracy is within 500 meters. It has practical application value and reference significance to the informationization of Expressway." @default.
- W4206752153 created "2022-01-26" @default.
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- W4206752153 date "2021-05-21" @default.
- W4206752153 modified "2023-10-16" @default.
- W4206752153 title "Spatial information extraction algorithm of ETC gantry based on trajectory mileage" @default.
- W4206752153 cites W2945100996 @default.
- W4206752153 doi "https://doi.org/10.1145/3474198.3478241" @default.
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