Real time positioning method for autonomous vehicles considering network delay attacks.
Saved in:
| Title: | Real time positioning method for autonomous vehicles considering network delay attacks. |
|---|---|
| Authors: | Zhang, H. Q.1 m15902900701@163.com |
| Source: | Advances in Transportation Studies. Special2025, p19-30. 12p. |
| Subjects: | Autonomous vehicles, Dynamic positioning systems, Cyberterrorism |
| Abstract: | To reduce the network transmission delay and positioning error of positioning information, this paper proposes a real-time positioning method for autonomous vehicles considering network delay attacks. Firstly, by constructing virtual fence boundaries, additional reference information is provided for real-time vehicle positioning, improving the accuracy and reliability of positioning. Then, considering network latency attacks, the time difference is eliminated and the transmission delay of the sensor network is reduced through multisensor clock synchronization processing, and the sensor network is then used to collect vehicle location information. Finally, the HMM map matching algorithm was used to correct the positioning error, effectively improving the positioning accuracy and reliability of autonomous vehicles. The experimental results show that after applying this method, the end-to-end transmission delay of the vehicle position signal is always set within 0.8s, and the average positioning error increases from 0.09m to 0.15m. [ABSTRACT FROM AUTHOR] |
| Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 190175216 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Real time positioning method for autonomous vehicles considering network delay attacks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+H%2E+Q%2E%22">Zhang, H. Q.</searchLink><relatesTo>1</relatesTo><i> m15902900701@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Advances+in+Transportation+Studies%22">Advances in Transportation Studies</searchLink>. Special2025, p19-30. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+positioning+systems%22">Dynamic positioning systems</searchLink><br /><searchLink fieldCode="DE" term="%22Cyberterrorism%22">Cyberterrorism</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To reduce the network transmission delay and positioning error of positioning information, this paper proposes a real-time positioning method for autonomous vehicles considering network delay attacks. Firstly, by constructing virtual fence boundaries, additional reference information is provided for real-time vehicle positioning, improving the accuracy and reliability of positioning. Then, considering network latency attacks, the time difference is eliminated and the transmission delay of the sensor network is reduced through multisensor clock synchronization processing, and the sensor network is then used to collect vehicle location information. Finally, the HMM map matching algorithm was used to correct the positioning error, effectively improving the positioning accuracy and reliability of autonomous vehicles. The experimental results show that after applying this method, the end-to-end transmission delay of the vehicle position signal is always set within 0.8s, and the average positioning error increases from 0.09m to 0.15m. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190175216 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.53136/97912218239432 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 19 Subjects: – SubjectFull: Autonomous vehicles Type: general – SubjectFull: Dynamic positioning systems Type: general – SubjectFull: Cyberterrorism Type: general Titles: – TitleFull: Real time positioning method for autonomous vehicles considering network delay attacks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, H. Q. IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 11 Text: Special2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18245463 Titles: – TitleFull: Advances in Transportation Studies Type: main |
| ResultId | 1 |
