Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment

no code implementations • 17 Apr 2020 • Javier Del Ser, Ibai Lana, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni

Results from this comparison benchmark and the analysis of the statistical significance of the reported performance gaps are decisive: Deep Echo State Networks achieve more accurate traffic forecasts than the rest of considered modeling counterparts.

From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability

no code implementations • 6 Feb 2020 • Ibai Lana, Javier J. Sanchez-Medina, Eleni I. Vlahogianni, Javier Del Ser

Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that {are} data-driven.

Decision Making