IEICE TRANSACTIONS on Fundamentals
A Stayed Location Estimation Method for Sparse GPS Positioning Information Based on Positioning Accuracy and Short-Time Cluster Removal
Summary :
Cell phones with GPS function as well as GPS loggers are widely used and users' geographic information can be easily obtained. However, still battery consumption in these mobile devices is main concern and then obtaining GPS positioning data so frequently is not allowed. In this paper, a stayed location estimation method for sparse GPS positioning information is proposed. After generating initial clusters from a sequence of measured positions, the effective radius is set for every cluster based on positioning accuracy and the clusters are merged effectively using it. After that, short-time clusters are removed temporarily but measured positions included in them are not removed. Then the clusters are merged again, taking all the measured positions into consideration. This process is performed twice, in other words, two-stage short-time cluster removal is performed, and finally accurate stayed location estimation is realized even when the GPS positioning interval is five minutes or more. Experiments demonstrate that the total distance error between the estimated stayed location and the true stayed location is reduced by more than 33% and also the proposed method much improves F1 measure compared to conventional state-of-the-art methods.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.5 pp.831-843
- Publication Date
- 2018/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.831
- Type of Manuscript
- PAPER
- Category
- Intelligent Transport System
Authors
Sae IWATA
Waseda University
Tomoyuki NITTA
Zenrin DataCom Co., LTD.
Toshinori TAKAYAMA
Zenrin DataCom Co., LTD.
Masao YANAGISAWA
Waseda University
Nozomu TOGAWA
Waseda University
Keyword
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Sae IWATA, Tomoyuki NITTA, Toshinori TAKAYAMA, Masao YANAGISAWA, Nozomu TOGAWA, "A Stayed Location Estimation Method for Sparse GPS Positioning Information Based on Positioning Accuracy and Short-Time Cluster Removal" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 5, pp. 831-843, May 2018, doi: 10.1587/transfun.E101.A.831.
Abstract: Cell phones with GPS function as well as GPS loggers are widely used and users' geographic information can be easily obtained. However, still battery consumption in these mobile devices is main concern and then obtaining GPS positioning data so frequently is not allowed. In this paper, a stayed location estimation method for sparse GPS positioning information is proposed. After generating initial clusters from a sequence of measured positions, the effective radius is set for every cluster based on positioning accuracy and the clusters are merged effectively using it. After that, short-time clusters are removed temporarily but measured positions included in them are not removed. Then the clusters are merged again, taking all the measured positions into consideration. This process is performed twice, in other words, two-stage short-time cluster removal is performed, and finally accurate stayed location estimation is realized even when the GPS positioning interval is five minutes or more. Experiments demonstrate that the total distance error between the estimated stayed location and the true stayed location is reduced by more than 33% and also the proposed method much improves F1 measure compared to conventional state-of-the-art methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.831/_p
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@ARTICLE{e101-a_5_831,
author={Sae IWATA, Tomoyuki NITTA, Toshinori TAKAYAMA, Masao YANAGISAWA, Nozomu TOGAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Stayed Location Estimation Method for Sparse GPS Positioning Information Based on Positioning Accuracy and Short-Time Cluster Removal},
year={2018},
volume={E101-A},
number={5},
pages={831-843},
abstract={Cell phones with GPS function as well as GPS loggers are widely used and users' geographic information can be easily obtained. However, still battery consumption in these mobile devices is main concern and then obtaining GPS positioning data so frequently is not allowed. In this paper, a stayed location estimation method for sparse GPS positioning information is proposed. After generating initial clusters from a sequence of measured positions, the effective radius is set for every cluster based on positioning accuracy and the clusters are merged effectively using it. After that, short-time clusters are removed temporarily but measured positions included in them are not removed. Then the clusters are merged again, taking all the measured positions into consideration. This process is performed twice, in other words, two-stage short-time cluster removal is performed, and finally accurate stayed location estimation is realized even when the GPS positioning interval is five minutes or more. Experiments demonstrate that the total distance error between the estimated stayed location and the true stayed location is reduced by more than 33% and also the proposed method much improves F1 measure compared to conventional state-of-the-art methods.},
keywords={},
doi={10.1587/transfun.E101.A.831},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - A Stayed Location Estimation Method for Sparse GPS Positioning Information Based on Positioning Accuracy and Short-Time Cluster Removal
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 831
EP - 843
AU - Sae IWATA
AU - Tomoyuki NITTA
AU - Toshinori TAKAYAMA
AU - Masao YANAGISAWA
AU - Nozomu TOGAWA
PY - 2018
DO - 10.1587/transfun.E101.A.831
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2018
AB - Cell phones with GPS function as well as GPS loggers are widely used and users' geographic information can be easily obtained. However, still battery consumption in these mobile devices is main concern and then obtaining GPS positioning data so frequently is not allowed. In this paper, a stayed location estimation method for sparse GPS positioning information is proposed. After generating initial clusters from a sequence of measured positions, the effective radius is set for every cluster based on positioning accuracy and the clusters are merged effectively using it. After that, short-time clusters are removed temporarily but measured positions included in them are not removed. Then the clusters are merged again, taking all the measured positions into consideration. This process is performed twice, in other words, two-stage short-time cluster removal is performed, and finally accurate stayed location estimation is realized even when the GPS positioning interval is five minutes or more. Experiments demonstrate that the total distance error between the estimated stayed location and the true stayed location is reduced by more than 33% and also the proposed method much improves F1 measure compared to conventional state-of-the-art methods.
ER -
English
