Latest revision as of 23:17, 28 January 2021

Abstract

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Enhanced position accuracy is key for modern navigation systems, location based services and applications based on Inter-Vehicle Communication (IVC). Position data are the foundation for deriving vehicle trajectories used for assessing a situation's criticality in vehicle safety. Thus, especially Advanced Driver Assistance Systems (ADASs) and integral safety applications bene t from nearby vehicles spreading their positions periodically with high accuracy. Positioning based on Global Navigation Satellite System (GNSS) measurements can be enhanced by established Cooperative Positioning (CP) methods like Real-Time Kinematic (RTK) and Di fferential GNSS (DGNSS). Conventional CP relies on positioning correction data from a third party, whereas this paper introduces a self-su fficient CP system based on Precise Point Positioning (PPP) and Vehicular Ad-Hoc Network (VANET) technology requiring no infrastructure. Furthermore, the data dissemination process and achievable coverage are analysed by a simulation study for a rural area in Bavaria, Germany. For this purpose, the simulation employs the European IVC protocol stack ITS-G5. While the general feasibility of this CP approach could be assured, some remaining issues regarding employed network protocols were discovered as well.

Original document

The different versions of the original document can be found in:

• https://doi.org/10.1016/j.ifacol.2016.11.112

• http://hdl.handle.net/2086/12854,

http://dx.doi.org/10.1016/j.ifacol.2016.11.112

• https://api.elsevier.com/content/article/PII:S2405896316325502?httpAccept=text/plain,

https://api.elsevier.com/content/article/PII:S2405896316325502?httpAccept=text/xml,

http://dx.doi.org/10.1016/j.ifacol.2016.11.112 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S2405896316325502,

https://www.dora.dmu.ac.uk/handle/2086/12854,

https://academic.microsoft.com/#/detail/2558856390