Graph-based representation for identifying individual travel activities with spatiotemporal trajecto...
Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data
About this item
Full title
Author / Creator
Liu, Xinyi , Wu, Meiliu , Peng, Bo and Huang, Qunying
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes. However, labor-intensive engineering work is often required to extract effective features. Additionally, features and models are mostly calibrated fo...
Alternative Titles
Full title
Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f60446f49ee54dd7958c0e75df0ec086
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f60446f49ee54dd7958c0e75df0ec086
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-19441-9
