Optimization of DRT concepts using the SUMO simulation software: How can the service quality be improved?
Within the Reallabor project in Hamburg future digital mobility is being tested with the objective to enhance mobility and transport in a metropolitan region such as Hamburg towards environmental and climate friendly mobility. To fulfil this aim is necessary to not only focus on the central city, but also on the urban districts. Hence, with the help of the microscopic simulation software SUMO it was analyzed how autonomous on-demand vehicles can be used in suburbs like Bergedorf to improve the connection of such suburban areas to the existing public transport system. The aim of the research was to find out what quality of service can be achieved with on-demand transport (DRT) in Bergedorf and how it can be optimized in terms of users. The paper will present the results of the simulation and the analysis of the results.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- David, Evnika
- Kurt, Filiz
- Scheier, Benedikt
- Mittag, Saskia
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Conference:
- Transport Research Arena Conference (TRA Lisbon 2022)
- Location: Lisbon , Portugal
- Date: 2022-11-14 to 2022-11-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 3972-3978
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Serial:
- Transportation Research Procedia
- Volume: 72
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Demand responsive transportation; Microscopic traffic flow; Quality of service; Simulation; Urban areas
- Geographic Terms: Germany; Hamburg (Germany)
- Subject Areas: Operations and Traffic Management; Public Transportation; Safety and Human Factors;
Filing Info
- Accession Number: 01906247
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 29 2024 9:16AM