完整後設資料紀錄
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dc.contributor.authorChen, Chi-Huaen_US
dc.contributor.authorLin, Bon-Yehen_US
dc.contributor.authorChang, Hsu-Chiaen_US
dc.contributor.authorLo, Chi-Chunen_US
dc.date.accessioned2014-12-08T15:28:34Z-
dc.date.available2014-12-08T15:28:34Z-
dc.date.issued2012-11-01en_US
dc.identifier.issn1343-4500en_US
dc.identifier.urihttp://hdl.handle.net/11536/20661-
dc.description.abstractIn recent year, the development of intelligent transportation system (ITS) has become more and more popular to improve the road safety and traffic efficiency amid the global trend of rapid urbanization and population growth. The traffic information estimations from cellular network data are more immediately, cost-effective, and easy to deploy and maintain than traditional methods. Therefore, we propose a novel speed estimation method based on fingerprint positioning algorithm (FPA). In experiments, we compare the estimated positioning information and speed information with the real information obtained from global position system (GPS) receiver. The results show that the average error of location determination by using FPA is 36.11 meters. For speed estimation, the average error ratio of speed estimation by using FPA is 3.39%. Finally, we adopt the MapReduce algorithm and propose a modified column-based data model (CDM) scheme to solve the space-wasting and time-wasting problems which are due to the sparse matrices generated by FPA. This approach will be feasible to estimate the overall traffic information for ITS improvement.en_US
dc.language.isoen_USen_US
dc.subjectIntelligent Transportation Systemen_US
dc.subjectCellular Networken_US
dc.subjectTraffic Informationen_US
dc.subjectCloud Computingen_US
dc.titleThe Novel Positioning Algorithm Based on Cloud Computing - A Case Study of Intelligent Transportation Systemsen_US
dc.typeArticleen_US
dc.identifier.journalINFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNALen_US
dc.citation.volume15en_US
dc.citation.issue11Aen_US
dc.citation.spage4519en_US
dc.citation.epage4524en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000311066200029-
dc.citation.woscount3-
顯示於類別:期刊論文