MAGIS - A Geographic Information System for Mobility Data Analysis

Lennart Adenaw, Julian Kreibich, Michael Wittmann, Lukas Merkle, Adam Waclaw, Markus Lienkamp

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

1 Scopus citations

Abstract

The availability of mobility data for scientific analysis has vastly increased, driven by the emergence of inexpensive GNSS recording hardware such as cell phones and small data loggers. Oftentimes, mobility data, which usually contains GNSS coordinates, timestamps, and other sensor measurements, needs to be augmented with additional spatial data in order to derive meaningful information and to facilitate human comprehensibility. Hence, processes like map-matching, geocoding, and routing are standard tools used in mobility data analysis. Unfortunately, available open-source solutions providing such services are heterogeneous in syntax, as well as in in-/output formats and do not offer all the functionalities needed throughout mobility data analysis. This paper presents MAGIS (Mobility Analysis GIS), a software architecture which harmonizes the syntax and usage of existing open-source GIS solutions, bundles their functions under one interface, and ensures data consistency along the tool chain.

Original languageEnglish
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-141
Number of pages7
ISBN (Electronic)9781538670248
DOIs
StatePublished - Oct 2019
Event2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand
Duration: 27 Oct 201930 Oct 2019

Publication series

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Conference

Conference2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Country/TerritoryNew Zealand
CityAuckland
Period27/10/1930/10/19

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