Journal article
A Runtime Integrity Monitoring Framework for Real-time Relative Positioning Systems Based on GPS and DSRC
IEEE Transactions on Intelligent Transportation Systems, Vol.16(2), pp.980-992
2015
Abstract
This paper provides a three-layered framework to monitor the positioning performance requirements of real-time relative positioning (RRP) systems of the Cooperative Intelligent Transport Systems that support cooperative collision warning (CCW) applications. These applications exploit state data of surrounding vehicles obtained solely from the Global Positioning System (GPS) and dedicated short-range communications (DSRC) units without using other sensors. To this end, this paper argues the need for the GPS/DSRC-based RRP systems to have an autonomous monitoring mechanism, since the operation of CCW applications is meant to augment safety on roads. The advantages of autonomous integrity monitoring are essential and integral to any safety-of-life system. The autonomous integrity monitoring framework proposed necessitates the RRP systems to detect/predict the unavailability of their subsystems and of the integrity monitoring module itself and, if available, to account for effects of data link delays and breakages of DSRC links, as well as of faulty measurement sources of GPS and/or integrated augmentation positioning systems, before the information used for safety warnings/alarms becomes unavailable, unreliable, inaccurate, or misleading. Hence, a monitoring framework using a tight integration and correlation approach is proposed for instantaneous reliability assessment of the RRP systems. Ultimately, using the proposed framework, the RRP systems will provide timely alerts to users when the RRP solutions cannot be trusted or used for the intended operation.
Details
- Title
- A Runtime Integrity Monitoring Framework for Real-time Relative Positioning Systems Based on GPS and DSRC
- Authors
- Keyvan Ansari (Author) - Queensland University of TechnologyYanming Feng (Author) - Queensland University of TechnologyMaolin Tang (Author) - Queensland University of Technology
- Publication details
- IEEE Transactions on Intelligent Transportation Systems, Vol.16(2), pp.980-992
- Publisher
- IEEE (Institute of Electrical and Electronics Engineers)
- Date published
- 2015
- DOI
- 10.1109/TITS.2014.2349011
- ISSN
- 1524-9050
- Copyright note
- Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
- Organisation Unit
- University of the Sunshine Coast, Queensland; USC Business School - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99450416402621
- Output Type
- Journal article
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- Engineering, Civil
- Engineering, Electrical & Electronic
- Transportation Science & Technology
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