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MobilityDB: A Mainstream Moving Object Database System

Published: 19 August 2019 Publication History

Abstract

This paper demonstrates the MobilityDB moving object database system. It is an extensive implementation on top of PostgreSQL and PostGIS with multiple novel aspects. MobilityDB defines multiple spatiotemporal types for moving geometry and geography points, as well as for temporal integers, reals, Booleans, and strings. It also defines a rich set of operations on these types. The types are supported with spatiotemporal index access methods by extending GiST (Generalized Search Tree) and SP-GiST (Space Partitioning GiST). The query interface is SQL. MobilityDB thus extends the PostgreSQL optimizer with statistics collectors and selectivity estimation functions. It is available as open source. The demonstration includes a scenario with multiple queries, and a publicly accessible query interface on the Web.

References

[1]
Christian Düntgen, Thomas Behr, and Ralf Hartmut Güting. 2009. BerlinMOD: a benchmark for moving object databases. The VLDB Journal 18, 6 (2009), 1335--1368.
[2]
Luca Forlizzi, Ralf Hartmut Güting, Enrico Nardelli, and Markus Schneider. 2000. A data model and data structures for moving objects databases. In SIGMOD '00: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. ACM, New York, NY, USA, 319--330.
[3]
Ralf Hartmut Güting, Victor Almeida, Dirk Ansorge, Thomas Behr, Zhiming Ding, Thomas Höse, Frank Hoffmann, Markus Spiekermann, and Ulrich Telle. 2005. SECONDO: An Extensible DBMS Platform for Research Prototyping and Teaching. In ICDE '05: Proceedings of the 21st International Conference on Data Engineering. IEEE Computer Society, Washington, DC, USA, 1115--1116.
[4]
Ralf Hartmut Güting, Michael H. Böhlen, Martin Erwig, Christian S. Jensen, Nikos A. Lorentzos, Markus Schneider, and Michalis Vazirgiannis. 2000. A foundation for representing and querying moving objects. ACM Trans. Database Syst. 25, 1 (2000), 1--42.
[5]
Nikos Pelekis, Elias Frentzos, Nikos Giatrakos, and Yannis Theodoridis. 2015. HERMES: A Trajectory DB Engine for Mobility-Centric Applications. International Journal of Knowledge-Based Organizations 5, 2 (2015), 19--41.

Cited By

View all
  • (2024)Non-Uniform Spatial Partitions and Optimized Trajectory Segments for Storage and Indexing of Massive GPS Trajectory DataISPRS International Journal of Geo-Information10.3390/ijgi1306019713:6(197)Online publication date: 12-Jun-2024
  • (2024)Robust Interpolation of Arbitrary-Dimensional Moving Regions in DatabasesProceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data10.1145/3681769.3698579(13-21)Online publication date: 29-Oct-2024
  • (2024)An experimental study of existing tools for outlier detection and cleaning in trajectoriesGeoInformatica10.1007/s10707-024-00522-yOnline publication date: 18-May-2024
  • Show More Cited By

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  1. MobilityDB: A Mainstream Moving Object Database System

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    Published In

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    SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases
    August 2019
    245 pages
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    In-Cooperation

    • TU Wien: TU Wien

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 August 2019

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    Author Tags

    1. Floating Car Data
    2. Map Matching
    3. Mobility Analytics
    4. Spatiotemporal Trajectories

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    • Demonstration
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    • Refereed limited

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    SSTD '19

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    Cited By

    View all
    • (2024)Non-Uniform Spatial Partitions and Optimized Trajectory Segments for Storage and Indexing of Massive GPS Trajectory DataISPRS International Journal of Geo-Information10.3390/ijgi1306019713:6(197)Online publication date: 12-Jun-2024
    • (2024)Robust Interpolation of Arbitrary-Dimensional Moving Regions in DatabasesProceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data10.1145/3681769.3698579(13-21)Online publication date: 29-Oct-2024
    • (2024)An experimental study of existing tools for outlier detection and cleaning in trajectoriesGeoInformatica10.1007/s10707-024-00522-yOnline publication date: 18-May-2024
    • (2023)An End-to-End Framework for Moving Objects in Smart Cities2023 IEEE International Smart Cities Conference (ISC2)10.1109/ISC257844.2023.10293425(1-7)Online publication date: 24-Sep-2023
    • (2023)Optimizing segmented trajectory data storage with HBase for improved spatio-temporal query efficiencyInternational Journal of Digital Earth10.1080/17538947.2023.219297916:1(1124-1143)Online publication date: 5-Apr-2023
    • (2022)A Survey on Spatio-temporal Data Analytics SystemsACM Computing Surveys10.1145/3507904Online publication date: 14-Jan-2022
    • (2022) User‐centered road network traffic analysis with MobilityDB Transactions in GIS10.1111/tgis.1297227:2(323-346)Online publication date: 24-Aug-2022
    • (2022)Big mobility data analytics: recent advances and open problemsGeoInformatica10.1007/s10707-022-00483-026:4(541-549)Online publication date: 18-Nov-2022
    • (2021)Indoor Positioning Using the OpenHPS Framework2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN51156.2021.9662569(1-8)Online publication date: 29-Nov-2021
    • (2020)Distributed Mobility Data Management in MobilityDB2020 21st IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM48529.2020.00052(238-239)Online publication date: Jun-2020
    • Show More Cited By

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