Fonte: Ad Hoc Networks. Unidades: ICMC, FFCLRP
Assuntos: INTELIGÊNCIA ARTIFICIAL, CONGESTIONAMENTOS, SISTEMAS DE TRANSPORTES
ABNT
ROCHA FILHO, Geraldo Pereira et al. Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities. Ad Hoc Networks, v. 107, p. 1-30, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.adhoc.2020.102265. Acesso em: 16 nov. 2024.APA
Rocha Filho, G. P., Meneguette, R. I., Torres Neto, J. R., Valejo, A. D. B., Weigang, L., Ueyama, J., et al. (2020). Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities. Ad Hoc Networks, 107, 1-30. doi:10.1016/j.adhoc.2020.102265NLM
Rocha Filho GP, Meneguette RI, Torres Neto JR, Valejo ADB, Weigang L, Ueyama J, Pessin G, Villas LA. Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities [Internet]. Ad Hoc Networks. 2020 ; 107 1-30.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.adhoc.2020.102265Vancouver
Rocha Filho GP, Meneguette RI, Torres Neto JR, Valejo ADB, Weigang L, Ueyama J, Pessin G, Villas LA. Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities [Internet]. Ad Hoc Networks. 2020 ; 107 1-30.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.adhoc.2020.102265