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A first approach towards an automatized preparation of input data for the agent-based demand model TAPAS

Krajzewicz, Daniel and Heinrichs, Matthias and von Schmidt, Antje and Schengen, Alain and Nieland, Simon (2025) A first approach towards an automatized preparation of input data for the agent-based demand model TAPAS. Procedia Computer Science, 257, pp. 996-1001. Elsevier. doi: 10.1016/j.procs.2025.03.128. ISSN 1877-0509.

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Official URL: https://www.sciencedirect.com/science/article/pii/S1877050925008658

Abstract

In order to prepare data needed to simulate a new area using the agent-based demand model TAPAS a large variety of data has to be collected, consolidated, and converted. In the past, this included the purchase of commercial data about the activity places within the area to model, collection of available data about the socio-demographics of the area, and subsequent enrichment of both and the disaggregation of the population. Often, the process of preparing a new scenario could take few months. For allowing a more agile use of TAPAS, we develop a data import and preparation tool that allows preparing a TAPAS representation of an area using open data and needs only minor manual configuration. This paper outlines the methods used by the tool, presents initial results, and gives the next steps to be performed.

Item URL in elib:https://elib.dlr.de/213870/
Document Type:Article
Title:A first approach towards an automatized preparation of input data for the agent-based demand model TAPAS
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Krajzewicz, DanielDaniel.Krajzewicz (at) dlr.dehttps://orcid.org/0000-0003-1045-8800UNSPECIFIED
Heinrichs, MatthiasMatthias.Heinrichs (at) dlr.dehttps://orcid.org/0000-0002-0175-2787UNSPECIFIED
von Schmidt, Antjeantje.vonschmidt (at) dlr.dehttps://orcid.org/0000-0003-1017-7937UNSPECIFIED
Schengen, AlainAlain.Schengen (at) dlr.dehttps://orcid.org/0009-0005-3966-3324186948395
Nieland, SimonSimon.Nieland (at) dlr.dehttps://orcid.org/0000-0002-1116-0646UNSPECIFIED
Date:27 April 2025
Journal or Publication Title:Procedia Computer Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:257
DOI:10.1016/j.procs.2025.03.128
Page Range:pp. 996-1001
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Shakshuki, ElhadiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yasar, AnsarUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Elsevier
Series Name:The 16th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2025)
ISSN:1877-0509
Status:Published
Keywords:agent-based demand model; data processing; open data
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - SekQuaSens
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Institute and Strategy Development
Institute of Transport Research > Spaces in Mobility and Transport Systems
Deposited By: Krajzewicz, Daniel
Deposited On:30 Jun 2025 15:19
Last Modified:03 Jul 2025 13:41

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