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A matching algorithm to study the evolution of logistics facilities extracted from GPS traces
University of Pretoria. (Centre for Transport Development)
University of Pretoria. (Centre for Transport Development)
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics. KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL.ORCID iD: 0000-0003-1164-8403
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0001-5269-4356
2020 (English)In: Transportation Research Procedia, E-ISSN 2352-1465, Vol. 46, no 2020, p. 237-244Article in journal (Refereed) Published
Abstract [en]

The ubiquity of anonymous GPS data has opened the door to a promising data source in the field of city logistics modelling. From this data the locations of logistics facilities can be extracted and their evolution studied over time. The minimum edge coverproblem, weighted by the Hausdorff distance, is used as a basis for a matching algorithm to study the location of facilities acrosslongitudinal datasets. The efficacy and validity of the algorithm is assessed through the visual inspection of results in three urbanareas across five time instances. Prevalent errors are unpacked and algorithm modifications suggested. This paper makes amethodological contribution to the handling of GPS data for the purpose of city logistics modelling.

Place, publisher, year, edition, pages
Elsevier BV , 2020. Vol. 46, no 2020, p. 237-244
Keywords [en]
GPS data; cluster evolution; logistics facilities; Hausdorff distance; minimum weight edge cover; concave hull clustering
National Category
Transport Systems and Logistics Computer Sciences
Research subject
Transport Science; Computer Science; Geodesy and Geoinformatics, Geoinformatics
Identifiers
URN: urn:nbn:se:kth:diva-272405DOI: 10.1016/j.trpro.2020.03.186Scopus ID: 2-s2.0-85084638589OAI: oai:DiVA.org:kth-272405DiVA, id: diva2:1425472
Conference
The 11th International Conference on City Logistics, Dubrovnik, Croatia, 12th - 14th June 2019
Note

QC 20200624

Available from: 2020-04-21 Created: 2020-04-21 Last updated: 2022-06-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopushttps://www.sciencedirect.com/science/article/pii/S2352146520303872

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Gidofalvi, GyözöKordnejad, Behzad

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf