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Your search keyword '"Cervellera, Cristiano"' showing total 12 results
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12 results on '"Cervellera, Cristiano"'

1. Model-Predictive Control of Traffic Emissions in Port-City Environments

Author

Cervellera, Cristiano, Macciò, Danilo, Vigo, Daniele, Editor-in-Chief, Agnetis, Alessandro, Series Editor, Amaldi, Edoardo, Series Editor, Guerriero, Francesca, Series Editor, Lucidi, Stefano, Series Editor, Messina, Enza, Series Editor, Sforza, Antonio, Series Editor, Bruglieri, Maurizio, editor, Festa, Paola, editor, Macrina, Giusy, editor, and Pisacane, Ornella, editor

Published
2024
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2. Ensemble Aggregation Approaches for Functional Optimization

Author

Cervellera, Cristiano, Macciò, Danilo, Sanguineti, Marcello, Vigo, Daniele, Editor-in-Chief, Agnetis, Alessandro, Series Editor, Amaldi, Edoardo, Series Editor, Guerriero, Francesca, Series Editor, Lucidi, Stefano, Series Editor, Messina, Enza, Series Editor, Sforza, Antonio, Series Editor, Bruglieri, Maurizio, editor, Festa, Paola, editor, Macrina, Giusy, editor, and Pisacane, Ornella, editor

Published
2024
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3. Receding-Horizon Dynamic Optimization of Port-City Traffic Interactions Over Shared Urban Infrastructure

Author

Cervellera, Cristiano, Macciò, Danilo, Rebora, Francesco, Vigo, Daniele, Editor-in-Chief, Agnetis, Alessandro, Series Editor, Amaldi, Edoardo, Series Editor, Guerriero, Francesca, Series Editor, Lucidi, Stefano, Series Editor, Messina, Enza, Series Editor, Sforza, Antonio, Series Editor, Cappanera, Paola, editor, Lapucci, Matteo, editor, Schoen, Fabio, editor, Sciandrone, Marco, editor, Tardella, Fabio, editor, and Visintin, Filippo, editor

Published
2023
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4. Voronoi Recursive Binary Trees for the Optimization of Nonlinear Functionals

Author

Cervellera, Cristiano, Macciò, Danilo, Rebora, Francesco, Vigo, Daniele, Editor-in-Chief, Agnetis, Alessandro, Series Editor, Amaldi, Edoardo, Series Editor, Guerriero, Francesca, Series Editor, Lucidi, Stefano, Series Editor, Messina, Enza, Series Editor, Sforza, Antonio, Series Editor, Cappanera, Paola, editor, Lapucci, Matteo, editor, Schoen, Fabio, editor, Sciandrone, Marco, editor, Tardella, Fabio, editor, and Visintin, Filippo, editor

Published
2023
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8. Model Predictive Control of Port–City Traffic Interactions Over Shared Urban Infrastructure

Author

Cervellera, Cristiano, Maccio, Danilo, and Rebora, Francesco

Abstract

We propose a model predictive control (MPC) scheme for the real-time optimization of interactions between logistic traffic and urban mobility, in contexts where a port is located within a city center. The aim is to mitigate negative phenomena related to traffic sharing the same urban space, through the efficient operation of existing infrastructure at a tactical/operational level. To this purpose, we first define an integrated model of the port/city interactions, focusing on the import and export chains in proximity of the port where trucks and general mobility vehicles interact. Then, we implement an MPC approach in order to optimize an objective function reflecting the interests of the different involved stakeholders. An important feature of the presented model is that it allows the analysis of different levels of cooperation between the city and the port, highlighting possible advantages of increased coordination at the operational level. To evaluate the effect of the proposed control scheme, we present a case study based on the port of Genova in north-west Italy.

Published
2024
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12. Improving the variability of urban traffic microsimulation through the calibration of generative parameter models.

Author

Cervellera, Cristiano, Macciò, Danilo, and Rebora, Francesco

Subjects
*DISTRIBUTION (Probability theory), *MAXIMUM entropy method, *CITY traffic, *CALIBRATION, *CROSS-entropy method, *UNIFORM spaces
Abstract

The calibration of urban traffic microsimulation models is addressed in this paper, focusing on the multivariate distribution of traffic features. This allows to take into account day-to-day variability and possibly complex statistical dependencies, enabling robust validation and the computation of more accurate statistics. Variability in traffic models can be obtained, in principle, by suitably tuning origin-destination demand flows, but this becomes problematic for microsimulation models when complex multivariate distributions are considered, due to excessive dimensionality and nonlinearity. Thus, here we investigate how complex multivariate behavior can be achieved by suitably varying only a subset of the parameters ruling the microsimulation dynamics, without imposing any distribution on the demand flows. To this purpose, rather than looking for fixed values of the parameters, we exploit distribution models having the structure of mixtures of uniforms, through which the simulator parameter values can be randomly sampled, thus replacing the simulator inner randomization mechanism. We formalize the optimization of the mixture parameters through a maximum mean discrepancy principle involving the simulator dynamics, which leads to a large-dimensional non-differentiable problem that we solve through a method based on cross-entropy. Preliminary experiments concerning the application of the proposed methodology to the SUMO simulator show how it is possible to capture quite complex multivariate distributions of target flows varying only four parameters. [ABSTRACT FROM AUTHOR]

Published
2022
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