Understanding movement in context with heterogeneous data

Onur Derin, Aniket Mitra, Matei Stroila, Bram Custers, Wouter Meulemans, Marcel Roeloffzen, Kevin Verbeek

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Movement data, as captured by myriad sensors, has been growing exponentially. Hence, multidisciplinary approaches for analyzing movement has become feasible. Though, movement pertains to a large variety of domains and applications, the focus of this position paper is understanding human movement (mobility) in various forms. We position maps as heterogeneous, multidimensional and digital representation of reality and advocate their role in contextualizing movement. We overview the main problems for analyzing human mobility with special attention to movement in context, leveraging heterogeneous data. We review the state-of-The-Art in solving these problems and describe remaining open problems and challenges for future work. Finally, we offer a view of existing as well as future mapping and location services that could enable these.

Original languageEnglish
Title of host publicationMOVE++ 2019 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)9781450369510
DOIs
Publication statusPublished - 5 Nov 2019
Event1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data, MOVE++ 2019 - Chicago, United States
Duration: 5 Nov 2019 → …

Conference

Conference1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data, MOVE++ 2019
CountryUnited States
CityChicago
Period5/11/19 → …

Keywords

  • Context
  • Maps
  • Movement data
  • Trajectories

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