MAGIS - A Geographic Information System for Mobility Data Analysis

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

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.

OriginalspracheEnglisch
Titel2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten135-141
Seitenumfang7
ISBN (elektronisch)9781538670248
DOIs
PublikationsstatusVeröffentlicht - Okt. 2019
Veranstaltung2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, Neuseeland
Dauer: 27 Okt. 201930 Okt. 2019

Publikationsreihe

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Konferenz

Konferenz2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Land/GebietNeuseeland
OrtAuckland
Zeitraum27/10/1930/10/19

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