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Alexander Roocroft

Biographic Data

ID8886759
NAMEAlexander Roocroft
GIVEN NAMESAlexander
FAMILY NAMERoocroft
SIGNATUREROOCROFT A
AFFILIATIONSAgency for Science, Technology and Research
ORCID0000-0002-6551-1800
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Flow count data-driven static traffic assignment models through network modularity partitioning

    Open Access•Alexander Roocroft, Giuliano Punzo et al.•ARTICLE•Transportation•2025

    Accurate static traffic assignment models are important tools for the assessment of strategic transportation policies. In this article we present a novel approach to partition road networks through network modularity to produce data-driven static traffic assignment models from loop detector data on large road systems. The use of partitioning allows the estimation of the key model input of Origin–Destination demand matrices from flow counts alone.…

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  • Flow count data-driven static traffic assignment models through network modularity partitioning

    Open Access•Alexander Roocroft, Giuliano Punzo et al.•ARTICLE•Transportation•2025

    Accurate static traffic assignment models are important tools for the assessment of strategic transportation policies. In this article we present a novel approach to partition road networks through network modularity to produce data-driven static traffic assignment models from loop detector data on large road systems. The use of partitioning allows the estimation of the key model input of Origin–Destination demand matrices from flow counts alone.…

Algorithm (1 work) · Computation (1 work) · Computer Science (1 work) · Data mining (1 work) · Flow network (1 work) · Mathematical optimization (1 work) · Mathematics (1 work) · Modularity (biology) (1 work) · Network model (1 work) · Partition (number theory) (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae