Leveraging Mobility Simulations with Realistic Origin-Destination Trajectory Filling

Autor(es)

Domingues, Augusto C. S. A. ; Silva, Fabricio A. ; Pinto, Leticia ; Loschi, Rosangela H. ; Loureiro, Antonio A. F.

• Tipo de documento: Artigo Científico
• Fonte: 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.

Resumo

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)

• Processo FAPESP: 23/00673-7 - Inteligência distribuída em redes de comunicação e internet das coisas
• Beneficiário: Nelson Luis Saldanha da Fonseca
• Modalidade de apoio: Auxílio à Pesquisa - Temático