Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment
GPS data sets of several vehicles on the road are obtained via wireless network, from which specific sections of data are picked up by filtering algorithm. Then, a variety of fusion algorithms are applied to the several sets of specific sections of data to remove the error data, to guarantee the v...
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Eastern Macedonia and Thrace Institute of Technology
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doaj-42f250e3ff34461fb86e5c5681d5a68e2020-11-24T20:44:54ZengEastern Macedonia and Thrace Institute of TechnologyJournal of Engineering Science and Technology Review1791-23771791-23772013-07-01629599Investigation on Comprehensive Multi-point GPS-based Traffic Information TreatmentGuanli Huang0Meng Zhou1Jiangyi Lv2School of Mathematics and System Science, Beihang University, Beijing100191, China / Beijing Polytechnic,Beijing, ChinaSchool of Mathematics and System Science, Beihang University, Beijing100191, China 2Beijing Polytechnic,Beijing, ChinaGPS data sets of several vehicles on the road are obtained via wireless network, from which specific sections of data are picked up by filtering algorithm. Then, a variety of fusion algorithms are applied to the several sets of specific sections of data to remove the error data, to guarantee the veracity of the fused result. On the basis of valid data, traffic conditions of this section can be acquired through the smart identification algorithm, which will provide the real-time traffic information. The method presented in this paper is simple and reliable. With good performance on the experimental data, it opens a new door for information collection of urban road.http://www.jestr.org/downloads/Volume6Issue2/fulltext206213.pdftraffic condition determiningData fusionidentification algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guanli Huang Meng Zhou Jiangyi Lv |
spellingShingle |
Guanli Huang Meng Zhou Jiangyi Lv Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment Journal of Engineering Science and Technology Review traffic condition determining Data fusion identification algorithm |
author_facet |
Guanli Huang Meng Zhou Jiangyi Lv |
author_sort |
Guanli Huang |
title |
Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment |
title_short |
Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment |
title_full |
Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment |
title_fullStr |
Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment |
title_full_unstemmed |
Investigation on Comprehensive Multi-point GPS-based Traffic Information Treatment |
title_sort |
investigation on comprehensive multi-point gps-based traffic information treatment |
publisher |
Eastern Macedonia and Thrace Institute of Technology |
series |
Journal of Engineering Science and Technology Review |
issn |
1791-2377 1791-2377 |
publishDate |
2013-07-01 |
description |
GPS data sets of several vehicles on the road are obtained via wireless network, from which specific sections of data are
picked up by filtering algorithm. Then, a variety of fusion algorithms are applied to the several sets of specific sections of
data to remove the error data, to guarantee the veracity of the fused result. On the basis of valid data, traffic conditions of
this section can be acquired through the smart identification algorithm, which will provide the real-time traffic
information. The method presented in this paper is simple and reliable. With good performance on the experimental data,
it opens a new door for information collection of urban road. |
topic |
traffic condition determining Data fusion identification algorithm |
url |
http://www.jestr.org/downloads/Volume6Issue2/fulltext206213.pdf |
work_keys_str_mv |
AT guanlihuang investigationoncomprehensivemultipointgpsbasedtrafficinformationtreatment AT mengzhou investigationoncomprehensivemultipointgpsbasedtrafficinformationtreatment AT jiangyilv investigationoncomprehensivemultipointgpsbasedtrafficinformationtreatment |
_version_ |
1716816208609673216 |