3 papers
quant-ph2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis, Paolo Bonfini, Negin Alisoltani +6
Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and impro…
cs.NE2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment
Javier Del Ser, Ibai Lana, Eric L. Manibardo +5
In short-term traffic forecasting, the goal is to accurately predict future values of a traffic parameter of interest occurring shortly after the prediction is queried. The activit…
cs.AI2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
Ibai Lana, Javier J. Sanchez-Medina, Eleni I. Vlahogianni +1
Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that {are} data-driven. Nowadays, In…