A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems
Applications of intelligent transportation systems are continuously increasing. Since positioning is a key component in these systems, it is essential to ensure its reliability and robustness, and monitor its integrity so that the required levels of positioning accuracy, integrity, continuity and av...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | English |
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Institution of Engineering and Technology
2020
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/DP170103341 http://hdl.handle.net/20.500.11937/82809 |
| _version_ | 1848764544764084224 |
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| author | Hassan, Tarek El-Mowafy, Ahmed Wang, Kan |
| author_facet | Hassan, Tarek El-Mowafy, Ahmed Wang, Kan |
| author_sort | Hassan, Tarek |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Applications of intelligent transportation systems are continuously increasing. Since positioning is a key component in these systems, it is essential to ensure its reliability and robustness, and monitor its integrity so that the required levels of positioning accuracy, integrity, continuity and availability can be maintained. In challenging environments, such as urban areas, a single navigation system is often difficult to fulfil the positioning requirements. Therefore, integrating different navigation sensors becomes intrinsic, which may include the global navigation satellite systems, the inertial navigation systems, the odometers and the light detection and ranging sensors. To bind the positioning errors within a pre-defined integrity risk, the integrity monitoring is an essential step in the positioning service, which needs to be fulfilled for integrated vehicular navigation systems used in intelligent transportation systems. Developing such innovative integrity monitoring techniques requires knowledge of many relevant aspects including the structure, positioning methodology and different errors affecting the positioning solution of the individual and integrated systems. Moreover, knowledge is needed for the current mitigation techniques of these errors, for possible fault detection and exclusion algorithms and for computation of protection levels. This paper provides an overview and discussion of these aspects with a focus on intelligent transportation systems. |
| first_indexed | 2025-11-14T11:21:03Z |
| format | Journal Article |
| id | curtin-20.500.11937-82809 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:21:03Z |
| publishDate | 2020 |
| publisher | Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-828092021-08-25T07:21:04Z A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems Hassan, Tarek El-Mowafy, Ahmed Wang, Kan Science & Technology Technology Engineering, Electrical & Electronic Transportation Science & Technology Engineering Transportation RAIM USER ALGORITHM GNSS LOCALIZATION ACCURACY MAP Applications of intelligent transportation systems are continuously increasing. Since positioning is a key component in these systems, it is essential to ensure its reliability and robustness, and monitor its integrity so that the required levels of positioning accuracy, integrity, continuity and availability can be maintained. In challenging environments, such as urban areas, a single navigation system is often difficult to fulfil the positioning requirements. Therefore, integrating different navigation sensors becomes intrinsic, which may include the global navigation satellite systems, the inertial navigation systems, the odometers and the light detection and ranging sensors. To bind the positioning errors within a pre-defined integrity risk, the integrity monitoring is an essential step in the positioning service, which needs to be fulfilled for integrated vehicular navigation systems used in intelligent transportation systems. Developing such innovative integrity monitoring techniques requires knowledge of many relevant aspects including the structure, positioning methodology and different errors affecting the positioning solution of the individual and integrated systems. Moreover, knowledge is needed for the current mitigation techniques of these errors, for possible fault detection and exclusion algorithms and for computation of protection levels. This paper provides an overview and discussion of these aspects with a focus on intelligent transportation systems. 2020 Journal Article http://hdl.handle.net/20.500.11937/82809 10.1049/itr2.12003 English http://purl.org/au-research/grants/arc/DP170103341 http://creativecommons.org/licenses/by/4.0/ Institution of Engineering and Technology fulltext |
| spellingShingle | Science & Technology Technology Engineering, Electrical & Electronic Transportation Science & Technology Engineering Transportation RAIM USER ALGORITHM GNSS LOCALIZATION ACCURACY MAP Hassan, Tarek El-Mowafy, Ahmed Wang, Kan A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| title | A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| title_full | A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| title_fullStr | A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| title_full_unstemmed | A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| title_short | A review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| title_sort | review of system integration and current integrity monitoring methods for positioning in intelligent transport systems |
| topic | Science & Technology Technology Engineering, Electrical & Electronic Transportation Science & Technology Engineering Transportation RAIM USER ALGORITHM GNSS LOCALIZATION ACCURACY MAP |
| url | http://purl.org/au-research/grants/arc/DP170103341 http://hdl.handle.net/20.500.11937/82809 |