Generating and calibrating a microscopic traffic flow simulation network of Kyoto: first insights from simulating private and public transport

  • Microscopic traffic flow simulations as tools for enabling detailed insights on traffic efficiency and safety gained numerous popularity among transportation researchers, planners and engineers in the first to decades of the 21st century. By implementing a test bed for simulation scenarios of complex urban transportation infrastructure it is possible to inspect specific effects of introducing small infrastructural changes related to the built environment and to the introduction of advanced traffic control strategies. The possibility of reproducing present problems or the transportation services, such as the ones of public bus services is a key motivation of this work. In this research, we reproduce the road network of the city of Kyoto for observing specific travel patterns of public buses such as the bus bunching phenomena. Therefore, a selection of currently available data sets is used for calibrating a cutout of the Kyoto road network of a relatively large extent. After introducingMicroscopic traffic flow simulations as tools for enabling detailed insights on traffic efficiency and safety gained numerous popularity among transportation researchers, planners and engineers in the first to decades of the 21st century. By implementing a test bed for simulation scenarios of complex urban transportation infrastructure it is possible to inspect specific effects of introducing small infrastructural changes related to the built environment and to the introduction of advanced traffic control strategies. The possibility of reproducing present problems or the transportation services, such as the ones of public bus services is a key motivation of this work. In this research, we reproduce the road network of the city of Kyoto for observing specific travel patterns of public buses such as the bus bunching phenomena. Therefore, a selection of currently available data sets is used for calibrating a cutout of the Kyoto road network of a relatively large extent. After introducing a method for geodata extraction and conversion, we approach the calibration by introducing virtual detectors representing present inductive loops and make use of historical traffic count records. Additionally, we introduce bus routes partially contributed by volunteer mappers (OSM project). First simulation outcomes show numerous familiar (local knowledge) flow patterns.show moreshow less

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Metadaten
Author:Andreas KelerORCiD, Wenzhe Sun, Jan-Dirk Schmöcker
URN:urn:nbn:de:bvb:384-opus4-1141826
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/114182
ISSN:2750-4425OPAC
Parent Title (English):SUMO User Conference 2023, 2-4 May 2023, Berlin, Germany
Publisher:TIB Open Publishing
Place of publication:Hannover
Editor:Pablo Alvarez Lopez, Olaf Angelo Banse Bueno, Mirko Barthauer, Michael Behrisch
Type:Conference Proceeding
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2024/07/19
First Page:189
Last Page:195
Series:SUMO Conference Proceedings ; 4
DOI:https://doi.org/10.52825/scp.v4i.226
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Angewandte Geoinformatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 3.0: Creative Commons - Namensnennung (mit Print on Demand)