Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • Lasse Bienzeisler
  • Torben Lelke
  • Oskar Wage
  • Falco Thiel
  • Bernhard Friedrich

External Research Organisations

  • Technische Universität Braunschweig
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Details

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalTransportation Research Procedia
Volume47
Early online date25 Apr 2020
Publication statusPublished - 2020
Event22nd EURO Working Group on Transportation Meeting - Barcelona, Spain
Duration: 18 Sept 201920 Sept 2019
Conference number: 22

Abstract

The model presented in this work is based on the agent-based simulation framework MATSim. We describe a new approach for collecting and processing the underlying data required for the development of a MATSim scenario. In cooperation with the administration of Hanover, available data was centrally collected, analysed and clustered. Using data fusion, the dataset was combined and enriched with additional information from open data sources in order to improve the model’s level of detail. In combination with the German mobility survey Mobilität in Deutschland 2017, the developed model is specifically adapted for the regional characteristics of Hanover, but yet transferable to other scenarios.

Keywords

    Geo-spatial data, MATSim, Scenario Generation

ASJC Scopus subject areas

Cite this

Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion. / Bienzeisler, Lasse; Lelke, Torben; Wage, Oskar et al.
In: Transportation Research Procedia, Vol. 47, 2020, p. 99-106.

Research output: Contribution to journalConference articleResearchpeer review

Bienzeisler, L, Lelke, T, Wage, O, Thiel, F & Friedrich, B 2020, 'Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion', Transportation Research Procedia, vol. 47, pp. 99-106. https://doi.org/10.1016/j.trpro.2020.03.073
Bienzeisler L, Lelke T, Wage O, Thiel F, Friedrich B. Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion. Transportation Research Procedia. 2020;47:99-106. Epub 2020 Apr 25. doi: 10.1016/j.trpro.2020.03.073
Bienzeisler, Lasse ; Lelke, Torben ; Wage, Oskar et al. / Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion. In: Transportation Research Procedia. 2020 ; Vol. 47. pp. 99-106.
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AU - Wage, Oskar

AU - Thiel, Falco

AU - Friedrich, Bernhard

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