Analysis of cross-border traffic for large cities using multiple data sources and new technologies
Within metropolitan regions planning agencies show vital interest to receive information on commuting traffic between city centers and suburbs. To collect this data traditionally expensive surveys had to be carried out which are quickly outdated. The authors developed an analysis framework which uses multiple, passively created and continuously available data sources to receive travel information with less effort to allow a cost-effective annual monitoring of trips passing the city boundaries. Therefore, the authors synthesized floating phone data (FPD) and origin-destination (OD) matrices with traffic and passenger counts. The method presented in this paper shows reasonable results for mobility indicators at the city border. The analysis also indicates some shortcomings of the method but the total effort of data collection and data analysis can be reduced receiving valuable mobility information.
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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:
- Lammer, Florian
- Cik, Michael
- Fellendorf, Martin
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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 3703-3710
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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: Commuting; Data collection; Data quality; Intercity transportation; Monitoring; Suburbs; Traffic data
- Subject Areas: Data and Information Technology; Highways; Public Transportation;
Filing Info
- Accession Number: 01912533
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 20 2024 10:11AM