Evaluating the Accuracy of Vehicle Positioning with PPK‐GNSS Measurements

Abstract The integration of precise positioning technologies in transportation systems is increasingly essential for enhancing automation and operational efficiency. Post‐Processing Kinematic (PPK) combined with Global Navigation Satellite Systems (GNSS) presents a promising solution for achieving accurate and reliable vehicle position monitoring. This study provides a comprehensive evaluation of the accuracy and feasibility of PPK‐GNSS in simulated vehicle tracking. Key factors influencing accuracy, such as satellite geometry, atmospheric and multipath errors, and real‐time corrections, are thoroughly examined. To further enhance positioning accuracy, a Kalman filter is applied to refine vehicle trajectory estimations. By analyzing existing research and case study results, this study highlights the advantages of PPK‐GNSS, particularly its capability for high‐precision vehicle tracking in open environments. The findings underscore the potential of PPK‐GNSS in improving highway transportation digitalization, offering valuable insights for the advancement of intelligent transportation systems.

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Publication Details

Journal
ce/papers
Published
2025-10-01
DOI
https://doi.org/10.1002/cepa.3376
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating the Accuracy of Vehicle Positioning with PPK‐GNSS Measurements

Fawzi Zarzoura, Mosbeh R. Kaloop, Tamer ElGharbawi, Mohamed Eldessouki
ce/papers
Traffic Prediction and Management Techniques
article

Evaluating the Accuracy of Vehicle Positioning with PPK‐GNSS Measurements

Fawzi Zarzoura, Mosbeh R. Kaloop, Tamer ElGharbawi, Mohamed Eldessouki
article en

Abstract

Abstract The integration of precise positioning technologies in transportation systems is increasingly essential for enhancing automation and operational efficiency. Post‐Processing Kinematic (PPK) combined with Global Navigation Satellite Systems (GNSS) presents a promising solution for achieving accurate and reliable vehicle position monitoring. This study provides a comprehensive evaluation of the accuracy and feasibility of PPK‐GNSS in simulated vehicle tracking. Key factors influencing accuracy, such as satellite geometry, atmospheric and multipath errors, and real‐time corrections, are thoroughly examined. To further enhance positioning accuracy, a Kalman filter is applied to refine vehicle trajectory estimations. By analyzing existing research and case study results, this study highlights the advantages of PPK‐GNSS, particularly its capability for high‐precision vehicle tracking in open environments. The findings underscore the potential of PPK‐GNSS in improving highway transportation digitalization, offering valuable insights for the advancement of intelligent transportation systems.

ce/papersVol. 8(5)
Suez Canal University (EG), Mansoura University (EG), InnoCentive (United States) (US), Blinn College (US)
Openalex Percentile: Top 61%
Traffic Prediction and Management Techniques
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