Positioning method of expressway ETC gantry by multi‐source traffic data
Abstract With the rapid development of expressway Electronic Toll Collection (ETC) technology in China, the expressway management system is becoming digital and intelligent, which provides a solid foundation for expressway vehicle infrastructure cooperation and autonomous driving. The gantry positio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-03-01
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| Series: | IET Intelligent Transport Systems |
| Online Access: | https://doi.org/10.1049/itr2.12280 |
| _version_ | 1797269025210761216 |
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| author | Feng Guo Fumin Zou Sijie Luo Haobin Chen Xiang Yu Cheng Zhang Lyuchao Liao |
| author_facet | Feng Guo Fumin Zou Sijie Luo Haobin Chen Xiang Yu Cheng Zhang Lyuchao Liao |
| author_sort | Feng Guo |
| collection | DOAJ |
| description | Abstract With the rapid development of expressway Electronic Toll Collection (ETC) technology in China, the expressway management system is becoming digital and intelligent, which provides a solid foundation for expressway vehicle infrastructure cooperation and autonomous driving. The gantry position is the key part of the ETC system. However, there are still some problems (e.g. gantry position missing or false), which can seriously affect the intelligent development of expressways. To address these two issues, an ETC gantry positioning method is proposed. First, the ETC transaction data and the GPS data on expressways are preprocessed to remove abnormal data and retrieve missed data. Then, combined with Dead Reckoning (DR) and Median Center, the potential position of the gantry is calculated from ETC transaction data and GPS data. Finally, the switching strategy based on Kalman Filter (KF) is used to capture the final gantry position. By comparing the results of the proposal with the collected gantry position, it is found that the positioning error of the gantry position calculated by this proposal is about 37 m. The positioning accuracy is 98.78% with the threshold of 100 m. The experimental results show that the proposal can effectively locate the expressway gantry. |
| first_indexed | 2024-04-25T01:41:48Z |
| format | Article |
| id | doaj.art-1e0e9f06e75e43db9640b56654984c9b |
| institution | Directory Open Access Journal |
| issn | 1751-956X 1751-9578 |
| language | English |
| last_indexed | 2024-04-25T01:41:48Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Intelligent Transport Systems |
| spelling | doaj.art-1e0e9f06e75e43db9640b56654984c9b2024-03-08T03:32:48ZengWileyIET Intelligent Transport Systems1751-956X1751-95782024-03-0118354055410.1049/itr2.12280Positioning method of expressway ETC gantry by multi‐source traffic dataFeng Guo0Fumin Zou1Sijie Luo2Haobin Chen3Xiang Yu4Cheng Zhang5Lyuchao Liao6College of Computer and Data Science Fuzhou University Fuzhou Fujian ChinaCollege of Computer and Data Science Fuzhou University Fuzhou Fujian ChinaFujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou Fujian ChinaFujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou Fujian ChinaFujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou Fujian ChinaCollege of information technology and management Hunan University of Finance and Economics Changsha Hunan ChinaFujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou Fujian ChinaAbstract With the rapid development of expressway Electronic Toll Collection (ETC) technology in China, the expressway management system is becoming digital and intelligent, which provides a solid foundation for expressway vehicle infrastructure cooperation and autonomous driving. The gantry position is the key part of the ETC system. However, there are still some problems (e.g. gantry position missing or false), which can seriously affect the intelligent development of expressways. To address these two issues, an ETC gantry positioning method is proposed. First, the ETC transaction data and the GPS data on expressways are preprocessed to remove abnormal data and retrieve missed data. Then, combined with Dead Reckoning (DR) and Median Center, the potential position of the gantry is calculated from ETC transaction data and GPS data. Finally, the switching strategy based on Kalman Filter (KF) is used to capture the final gantry position. By comparing the results of the proposal with the collected gantry position, it is found that the positioning error of the gantry position calculated by this proposal is about 37 m. The positioning accuracy is 98.78% with the threshold of 100 m. The experimental results show that the proposal can effectively locate the expressway gantry.https://doi.org/10.1049/itr2.12280 |
| spellingShingle | Feng Guo Fumin Zou Sijie Luo Haobin Chen Xiang Yu Cheng Zhang Lyuchao Liao Positioning method of expressway ETC gantry by multi‐source traffic data IET Intelligent Transport Systems |
| title | Positioning method of expressway ETC gantry by multi‐source traffic data |
| title_full | Positioning method of expressway ETC gantry by multi‐source traffic data |
| title_fullStr | Positioning method of expressway ETC gantry by multi‐source traffic data |
| title_full_unstemmed | Positioning method of expressway ETC gantry by multi‐source traffic data |
| title_short | Positioning method of expressway ETC gantry by multi‐source traffic data |
| title_sort | positioning method of expressway etc gantry by multi source traffic data |
| url | https://doi.org/10.1049/itr2.12280 |
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