Integrated GNSS QoS Prediction for Navigation Services

  • Authors:

  • Duangduen Asavasuthirakul;Hassan A. Karimi

  • Affiliations:

  • Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, 99 Moo 9 Tambon Thapho, Amphor Mueang, Phitsanulok, Thailand;Geoinformatics Laboratory, School of Information Sciences, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, Pennsylvania, USA

  • Venue:
  • Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
  • Year:
  • 2013

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Abstract

As users increasingly rely on navigation assistance, they expect accurate and reliable navigation performances, especially in obstructed areas where positioning quality of global navigation satellite system (GNSS) is often deteriorated. This paper presents a novel methodology, called integrated GNSS (iGNSS) quality of service (QoS) prediction to provide a means for navigation applications to plan according to GNSS positioning quality. The methodology could be used to predict iGNSS QoS on prospective route segments ahead of time, among other tasks, allowing the navigation service to prepare a suitable plan before the users reaches the poor iGNSS QoS segments. The results were evaluated by comparing the predicted iGNSS QoS to the collected GPS data on sample routes in different environment surroundings under various parameter settings. The results show that the proposed methodology is capable of predicting GNSS QoS on segments under open sky condition accurately and identifying locations on segments with poor GNSS QoS.