Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis
Satellite positioning lies within the very core of numerous Intelligent Transportation Systems (ITS) and Future Internet applications. With the emergence of connected vehicles, the performance requirements of Global Navigation Satellite Systems (GNSS) are constantly pushed to their limits. To this e...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/14/7/195 |
| _version_ | 1797433611578769408 |
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| author | Thanassis Mpimis Theodore T. Kapsis Athanasios D. Panagopoulos Vassilis Gikas |
| author_facet | Thanassis Mpimis Theodore T. Kapsis Athanasios D. Panagopoulos Vassilis Gikas |
| author_sort | Thanassis Mpimis |
| collection | DOAJ |
| description | Satellite positioning lies within the very core of numerous Intelligent Transportation Systems (ITS) and Future Internet applications. With the emergence of connected vehicles, the performance requirements of Global Navigation Satellite Systems (GNSS) are constantly pushed to their limits. To this end, Cooperative Positioning (CP) solutions have attracted attention in order to enhance the accuracy and reliability of low-cost GNSS receivers, especially in complex propagation environments. In this paper, the problem of efficient and robust CP employing low-cost GNSS receivers is investigated over critical ITS scenarios. By adopting a Cooperative-Differential GNSS (C-DGNSS) framework, the target’s vehicle receiver can obtain Position–Velocity–Time (PVT) corrections from a neighboring vehicle and update its own position in real-time. A ranking module based on multi-attribute decision-making (MADM) algorithms is proposed for the neighboring vehicle rating and optimal selection. The considered MADM techniques are simulated with various weightings, normalization techniques, and criteria associated with positioning accuracy and reliability. The obtained criteria values are experimental GNSS measurements from several low-cost receivers. A comparative and sensitivity analysis are provided by evaluating the MADM algorithms in terms of ranking performance and robustness. The positioning data time series and the numerical results are then presented, and comments are made. Scoring-based and distance-based MADM methods perform better, while L1 RMS, HDOP, and Hz std are the most critical criteria. The multi-purpose applicability of the proposed scheme, not only for land vehicles, is also discussed. |
| first_indexed | 2024-03-09T10:19:28Z |
| format | Article |
| id | doaj.art-9ad6c10048674b7e9275fb02d063954d |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-09T10:19:28Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-9ad6c10048674b7e9275fb02d063954d2023-12-01T22:10:00ZengMDPI AGFuture Internet1999-59032022-06-0114719510.3390/fi14070195Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative AnalysisThanassis Mpimis0Theodore T. Kapsis1Athanasios D. Panagopoulos2Vassilis Gikas3School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, GreeceSchool of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, GreeceSatellite positioning lies within the very core of numerous Intelligent Transportation Systems (ITS) and Future Internet applications. With the emergence of connected vehicles, the performance requirements of Global Navigation Satellite Systems (GNSS) are constantly pushed to their limits. To this end, Cooperative Positioning (CP) solutions have attracted attention in order to enhance the accuracy and reliability of low-cost GNSS receivers, especially in complex propagation environments. In this paper, the problem of efficient and robust CP employing low-cost GNSS receivers is investigated over critical ITS scenarios. By adopting a Cooperative-Differential GNSS (C-DGNSS) framework, the target’s vehicle receiver can obtain Position–Velocity–Time (PVT) corrections from a neighboring vehicle and update its own position in real-time. A ranking module based on multi-attribute decision-making (MADM) algorithms is proposed for the neighboring vehicle rating and optimal selection. The considered MADM techniques are simulated with various weightings, normalization techniques, and criteria associated with positioning accuracy and reliability. The obtained criteria values are experimental GNSS measurements from several low-cost receivers. A comparative and sensitivity analysis are provided by evaluating the MADM algorithms in terms of ranking performance and robustness. The positioning data time series and the numerical results are then presented, and comments are made. Scoring-based and distance-based MADM methods perform better, while L1 RMS, HDOP, and Hz std are the most critical criteria. The multi-purpose applicability of the proposed scheme, not only for land vehicles, is also discussed.https://www.mdpi.com/1999-5903/14/7/195Intelligent Transportation SystemsCooperative Positioninglow-cost GNSSconnected vehiclesmulti-criteria decision makingranking methods |
| spellingShingle | Thanassis Mpimis Theodore T. Kapsis Athanasios D. Panagopoulos Vassilis Gikas Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis Future Internet Intelligent Transportation Systems Cooperative Positioning low-cost GNSS connected vehicles multi-criteria decision making ranking methods |
| title | Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis |
| title_full | Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis |
| title_fullStr | Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis |
| title_full_unstemmed | Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis |
| title_short | Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis |
| title_sort | cooperative d gnss aided with multi attribute decision making module a rigorous comparative analysis |
| topic | Intelligent Transportation Systems Cooperative Positioning low-cost GNSS connected vehicles multi-criteria decision making ranking methods |
| url | https://www.mdpi.com/1999-5903/14/7/195 |
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