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Integrated GNSS QoS prediction for navigation services

Asavasuthirakul, D and Karimi, HA (2013) Integrated GNSS QoS prediction for navigation services. In: UNSPECIFIED.

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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. © 2013 ACM.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Asavasuthirakul, D
Karimi, HAhkarimi@pitt.eduHKARIMI
Date: 1 January 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: IWCTS 2013 - 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science
Page Range: 73 - 78
Event Type: Conference
DOI or Unique Handle: 10.1145/2533828.2533830
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450325271
Date Deposited: 24 Jun 2014 15:51
Last Modified: 02 Feb 2019 16:55
URI: http://d-scholarship.pitt.edu/id/eprint/22060

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