Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors

Saved in:
Bibliographic Details
Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030191489122309
collection WordPress RSS
FRELIP Feed Integration
container_title PLOS ONE
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:10071
institution FRELIP
journal_source_facet PLOS ONE
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
title_auth IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
title_full IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
title_fullStr IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
title_full_unstemmed IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
title_short IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
title_sort irn2vec: a representation learning model for road network intersections by integrating geospatial attributes and travel behaviors
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344448