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Building real-world trajectory warehouses

Published: 13 June 2008 Publication History

Abstract

The flow of data generated from low-cost modern sensing technologies and wireless telecommunication devices enables novel research fields related to the management of this new kind of data and the implementation of appropriate analytics for knowledge extraction. In this work, we investigate how the traditional data cube model is adapted to trajectory warehouses in order to transform raw location data into valuable information. In particular, we focus our research on three issues that are critical to trajectory data warehousing: (a) the trajectory reconstruction procedure that takes place when loading a moving object database with sampled location data originated e.g. from GPS recordings, (b) the ETL procedure that feeds a trajectory data warehouse, and (c) the aggregation of cube measures for OLAP purposes. We provide design solutions for all these issues and we test their applicability and efficiency in real world settings.

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  • (2021)Field-road trajectory segmentation for agricultural machinery based on direction distributionComputers and Electronics in Agriculture10.1016/j.compag.2021.106180186(106180)Online publication date: Jul-2021
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cover image ACM Conferences
MobiDE '08: Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
June 2008
77 pages
ISBN:9781605582214
DOI:10.1145/1626536
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 June 2008

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Author Tags

  1. distinct count problem
  2. moving object databases
  3. trajectory data warehouses
  4. trajectory reconstruction

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Overall Acceptance Rate 23 of 59 submissions, 39%

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Cited By

View all
  • (2022)Addressing robust travel mode identification with individual trip‐chain trajectory noise reductionIET Intelligent Transport Systems10.1049/itr2.1224317:1(129-143)Online publication date: 24-Jul-2022
  • (2021)Moving Beyond Traditional Decision Support SystemsResearch Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering10.4018/978-1-7998-9023-2.ch068(1431-1445)Online publication date: 2021
  • (2021)Field-road trajectory segmentation for agricultural machinery based on direction distributionComputers and Electronics in Agriculture10.1016/j.compag.2021.106180186(106180)Online publication date: Jul-2021
  • (2021)A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak InvestigationTransactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII10.1007/978-3-662-63519-3_4(85-104)Online publication date: 18-May-2021
  • (2020)A Survey on Big Data for Trajectory AnalyticsISPRS International Journal of Geo-Information10.3390/ijgi90200889:2(88)Online publication date: 1-Feb-2020
  • (2019)Mobility Data WarehousesISPRS International Journal of Geo-Information10.3390/ijgi80401708:4(170)Online publication date: 2-Apr-2019
  • (2018)TRIPSProceedings of the VLDB Endowment10.14778/3229863.323622411:12(1918-1921)Online publication date: 1-Aug-2018
  • (2018)Spatio-temporal analysis of trajectories for safer construction sitesSmart and Sustainable Built Environment10.1108/SASBE-10-2017-00477:1(80-100)Online publication date: 3-Apr-2018
  • (2018)Differentially private counting of users' spatial regionsKnowledge and Information Systems10.1007/s10115-017-1113-654:1(5-32)Online publication date: 1-Jan-2018
  • (2017)Moving Beyond Traditional Decision Support SystemsInternational Journal of Information Systems and Social Change10.4018/IJISSC.20170401048:2(74-87)Online publication date: 1-Apr-2017
  • Show More Cited By

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