Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 99-106 |
| Seitenumfang | 8 |
| Fachzeitschrift | Transportation Research Procedia |
| Jahrgang | 47 |
| Frühes Online-Datum | 25 Apr. 2020 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Veranstaltung | 22nd EURO Working Group on Transportation Meeting - Barcelona, Spanien Dauer: 18 Sept. 2019 → 20 Sept. 2019 Konferenznummer: 22 |
Abstract
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in: Transportation Research Procedia, Jahrgang 47, 2020, S. 99-106.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
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 - http://www.scopus.com/inward/record.url?scp=85084636744&partnerID=8YFLogxK
U2 - 10.1016/j.trpro.2020.03.073
DO - 10.1016/j.trpro.2020.03.073
M3 - Conference article
VL - 47
SP - 99
EP - 106
JO - Transportation Research Procedia
JF - Transportation Research Procedia
SN - 2352-1457
T2 - 22nd EURO Working Group on Transportation Meeting
Y2 - 18 September 2019 through 20 September 2019
ER -