Understanding human mobility: A multi-modal and intelligent moving objects database

Jianqiu Xu, Hua Lu, Ralf Hartmut Güting

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The research field of moving objects has been quite active in the past 20 years. The recording of position data becomes easy and huge amounts of mobile data are collected. Moving objects databases represent time-dependent objects and support queries with spatial and temporal constraints. In this paper we provide the vision of a multi-model and intelligent moving objects database. The goal is to enhance the data management of moving objects by providing extensive data models for different applications and fusing artificial intelligence techniques. Toward this goal, we propose how to develop corresponding modules and integrate them into the system to achieve the next-generation moving objects database.
Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019
EditorsWalid G. Aref, Michela Bertolotto, Panagiotis Bouros, Christian S. Jensen, Ahmed Mahmood, Kjetil Nørvåg, Dimitris Sacharidis, Mohamed Sarwat
Number of pages4
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Publication date2019
Pages222-225
ISBN (Print)978-1-4503-6280-1
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event16th International Symposium on Spatial and Temporal Databases - Vienna, Austria
Duration: 19 Aug 201921 Aug 2019
http://sstd2019.org/

Conference

Conference16th International Symposium on Spatial and Temporal Databases
Country/TerritoryAustria
CityVienna
Period19/08/201921/08/2019
Internet address

Cite this