Exploring GPS data for traffic status estimation

Yu Ming Chang*, Ling Yin Wei, Chun Shuo Lin, Chen Hen Jung, I. Hung Chen, Wen-Chih Peng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Traffic status plays an important role in navigation systems. To estimate traffic status, expensive sensors are deployed, which is not cost efficient. In view of the growth of GPS navigation services, in this paper, we propose two algorithms to estimate traffic status of road segments in our CarWeb platform. To evaluate our proposed algorithms, we implement the proposed algorithms in our CarWeb platform that is used to collect GPS data points from cars. Extensive experiments are conducted on real datasets and experimental results indicate that our algorithms can provide desirable predictions of traffic status.

Original languageEnglish
Title of host publicationProceedings - 2009 10th International Conference on Mobile Data Management
Subtitle of host publicationSystems, Services and Middleware, MDM 2009
Pages369-370
Number of pages2
DOIs
StatePublished - 5 Oct 2009
Event2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009 - Taipei, Taiwan
Duration: 18 May 200920 May 2009

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
ISSN (Print)1551-6245

Conference

Conference2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009
CountryTaiwan
CityTaipei
Period18/05/0920/05/09

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