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

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

doi:10.1016/j.trpro.2020.03.073

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

Lasse Bienzeisler^*
, Torben Lelke
, Oskar Wage
, Falco Thiel
, Bernhard Friedrich

^*Corresponding author for this work

Institute of Cartography and Geoinformatics

Technische Universität Braunschweig

Research output: Contribution to journal › Conference article › Research › peer review

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.

Original language	English
Pages (from-to)	99-106
Number of pages	8
Journal	Transportation Research Procedia
Volume	47
E-pub ahead of print	25 Apr 2020
DOIs	https://doi.org/10.1016/j.trpro.2020.03.073
Publication status	Published - 2020
Event	22nd EURO Working Group on Transportation Meeting - Barcelona, Spain Duration: 18 Sept 2019 → 20 Sept 2019 Conference number: 22

Keywords

Geo-spatial data
MATSim
Scenario Generation

ASJC Scopus subject areas

Transportation

Access to Document

10.1016/j.trpro.2020.03.073Licence: CC BY-NC-ND 4.0

Cite this

@article{99e401dd7d334b9c986f56e6bd554bca,

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

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{\textquoteright}s level of detail. In combination with the German mobility survey Mobilit{\"a}t 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",

author = "Lasse Bienzeisler and Torben Lelke and Oskar Wage and Falco Thiel and Bernhard Friedrich",

note = "Funding Information: The scientific research published in this article is granted by the Federal Ministry of Education and Research Germany for project USEfUL (grant ID 03SF0547). The authors cordially thank the partners and funding agency.; 22nd EURO Working Group on Transportation Meeting ; Conference date: 18-09-2019 Through 20-09-2019",

year = "2020",

doi = "10.1016/j.trpro.2020.03.073",

language = "English",

volume = "47",

pages = "99--106",

journal = "Transportation Research Procedia",

issn = "2352-1457",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion

AU - Bienzeisler, Lasse

AU - Lelke, Torben

AU - Wage, Oskar

AU - Thiel, Falco

AU - Friedrich, Bernhard

N1 - Conference code: 22

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Geo-spatial data

KW - MATSim

KW - Scenario Generation

UR - https://www.scopus.com/pages/publications/85084636744

U2 - 10.1016/j.trpro.2020.03.073

DO - 10.1016/j.trpro.2020.03.073

M3 - Conference article

SN - 2352-1457

VL - 47

SP - 99

EP - 106

JO - Transportation Research Procedia

JF - Transportation Research Procedia

T2 - 22nd EURO Working Group on Transportation Meeting

Y2 - 18 September 2019 through 20 September 2019

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

USEfUL: Verbundvorhaben: Untersuchungs-, Simulations-, Evaluations-Tool für Urbane Logistik

Cite this

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Projects

USEfUL: Verbundvorhaben: Untersuchungs-, Simulations-, Evaluations-Tool für Urbane Logistik

Cite this