9 citations · 28 across the 19 of their papers we have counts for
22 papers
A modular state-space model of human perception, cognition, and decision dynamics
Sven Schoonebeek, Carlo Cenedese, Anahita Jamshidnejad
Human-centered adaptive systems require behavioral models that are both psychologically interpretable and mathematically analyzable. Many existing predictors either operate as blac…
Split-as-a-Pro: behavioral control via operator splitting and alternating projections
Yu Tang, Carlo Cenedese, Alessio Rimoldi +3
The paper introduces Split-as-a-Pro, a control framework that integrates behavioral systems theory, operator splitting methods, and alternating projection algorithms. The framework…
Iterative Learning Control for Ramp Metering on Service Station On-ramps
Hongxi Xiang, Carlo Cenedese, Efe C. Balta +1
Congestion on highways has become a significant social problem due to the increasing number of vehicles, leading to considerable waste of time and pollution. Regulating the outflow…
A new control-oriented METANET model to encompass service stations on highways
Ayda Kamalifar, Carlo Cenedese, Michele Cucuzzella +1
In this paper, we propose the METANET with service station (METANET-s) model, a second-order macroscopic traffic model that, compared to the classical METANET, incorporates the dyn…
Urban traffic congestion control: a DeePC change
Alessio Rimoldi, Carlo Cenedese, Alberto Padoan +2
Urban traffic congestion remains a pressing challenge in our rapidly expanding cities, despite the abundance of available data and the efforts of policymakers. By leveraging behavi…
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm
Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato +3
We study the problem of optimally routing plug-in electric and conventional fuel vehicles on a city level. In our model, commuters selfishly aim to minimize a local cost that combi…