{"title":"Large scale trajectory data management","authors":"Ye Ayong, Yongxing Zheng","doi":"10.1109/LISS.2015.7369700","DOIUrl":null,"url":null,"abstract":"In recent years, the wide usage of GPS-enabled devices has generated vast volumes of spatio temporal streams of location data, which raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. In this paper, we propose a line simplification technique to compress moving object trajectories, which take the change of moving direction as the judgmental threshold to collect GPS points. The efficiency of our technique is demonstrated through an extensive experimental evaluation on trajectory data using real trajectory datasets collected by Geolife project.","PeriodicalId":124091,"journal":{"name":"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISS.2015.7369700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, the wide usage of GPS-enabled devices has generated vast volumes of spatio temporal streams of location data, which raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. In this paper, we propose a line simplification technique to compress moving object trajectories, which take the change of moving direction as the judgmental threshold to collect GPS points. The efficiency of our technique is demonstrated through an extensive experimental evaluation on trajectory data using real trajectory datasets collected by Geolife project.