MAGIS - a Geographic Information System for Mobility Data Analysis

Lennart Adenaw1, Julian Kreibich2, Michael Wittmann3, Lukas Merkle2, Adam Waclaw3, Markus Lienkamp4

  • 1Technical University Munich, Institute of Automotive Technology
  • 2Technical University of Munich, Institute of Automotive Technolo
  • 3Technical University of Munich, Chair of Automotive Technology
  • 4Technische Universität München

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Regular Session

Sessions

11:00 - 12:00 | Mon 28 Oct | Crystal Room II | MoC-T6

Regular Session on Data Management and Geographic Information Systems (I)

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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.

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