| Full text | |
| Author(s): |
Domingues, Augusto C. S. A.
;
Silva, Fabricio A.
;
Pinto, Leticia
;
Loschi, Rosangela H.
;
Loureiro, Antonio A. F.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2024 32ND INTERNATIONAL CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, MASCOTS 2024; v. N/A, p. 8-pg., 2024-01-01. |
| Abstract | |
There is a shortage of mobility datasets - real or synthetic - available in the literature, limiting the development of new research. This generates demand for newer large-scale datasets, considering time, space, and population size. This work introduces a novel, two-step approach to generating large-scale mobility data considering the surrounding context, such as traffic. We validate our approach using two real mobility datasets, resulting in an enriched, large-scale dataset with more than 1 million origin-destination trips, which we share with the community to enable new research opportunities. (AU) | |
| FAPESP's process: | 23/00673-7 - Distributed intelligence in communications networks and in the internet of things |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |