Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Study

AuthID
P-00Y-J2Z
4
Author(s)
Leal, D
·
Albuquerque, V
·
Dias, MS
·
1
Editor(es)
Martins Ferreira Tokkozhina Kocian,ALJCUA
Tipo de Documento
Proceedings Paper
Year published
2023
Publicado
in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-8211
Volume: 486 LNICST, Páginas: 40-54
Conference
6Th Eai International Conference on Intelligent Transport Systems, Intsys 2022, Date: 15 December 2022 through 16 December 2022
Indexing
Publication Identifiers
SCOPUS: 2-s2.0-85161597239
Source Identifiers
ISSN: 1867-8211
Export Publication Metadata
Info
At this moment we don't have any links to full text documens.