A novel methodology to predict urban traffic congestion with ensemble learning
Crossref DOI link: https://doi.org/10.1007/s00500-016-2288-6
Published Online: 2016-08-03
Published Print: 2016-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Asencio-Cortés, G.
Florido, E.
Troncoso, A.
Martínez-Álvarez, F.
License valid from 2016-08-03