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C. Pasquale

Also published under: Cecilia Pasquale

Publications
32
Citations
206
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (28)
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C. Pasquale

Also published under: Cecilia Pasquale

Affiliation

Department of Informatics
Bioengineering
Robotics and Systems Engineering, University of Genova, Genoa, Italy

Publication Topics

Biography

Cecilia Pasquale (Member, IEEE) received the bachelor's degree in civil engineering from the Polytechnic University of Torino, Turin, Italy, in 2009, the master’s degree in transports and logistics engineering, and the Ph.D. degree in monitoring of systems and environmental risk management from the University of Genova, Genoa, Italy, in 2012 and 2016, respectively. She is currently an Assistant Professor with the University of Genova. Her research interests include modelling, optimization, and control methods applied to the field of transportation systems. She is also an Associate Editor for Control Engineering Practice. She is the Chair of the Technical Committee on Planning and Control of Transportation Networks of the IEEE Intelligent Tr...
Publications
32
Citations
206
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (28)
Author's Published Works

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Freeway Traffic Modeling by Physics-Regularized Gaussian Processes

Kleona Binjaku;C. Pasquale;E. K. Meçe;S. Sacone

IEEE Open Journal of Intelligent Transportation Systems
Year: 2025 | Volume: 6 | Journal Article |
Effective traffic management and control are essential for mitigating congestion and minimizing environmental impacts on road transportation systems. In this paper, we propose a novel approach for traffic modeling that integrates physics-based dynamics with machine learning techniques. Our method leverages Gaussian Processes (GPs) and a multi-class second-order discrete traffic model known as META...Show More

Freeway Traffic Modeling by Physics-Regularized Gaussian Processes

Kleona Binjaku;C. Pasquale;E. K. Meçe;S. Sacone

Year: 2025 | Volume: 6 | Journal Article |

A Multi-Scale Control Framework for Electric and Automated Buses in Intercity Lines

S. Graffione;S. Bracco;C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2024 IEEE 63rd Conference on Decision and Control (CDC)
Year: 2024 | Conference Paper |
This paper proposes a multi-scale control scheme aimed at controlling speed, dwell time, and charging time of electric and automated buses performing the transport service on lines where there are no reserved lanes. The proposed control scheme has two layers characterized by different control objectives, level of detail and time scales. The high-level controller periodically solves a multi-objecti...Show More

A Multi-Scale Control Framework for Electric and Automated Buses in Intercity Lines

S. Graffione;S. Bracco;C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2024 | Conference Paper |

Neural Network-Based Prediction of Import Container Outflows via Trucks: A System-of-Systems Analysis in Port Terminals

R. Hoxha;A. Olmo;C. Pasquale;R. Sacile;S. Sacone;E. Zero

2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Year: 2024 | Conference Paper |
This paper proposes a methodology centered on the application of a feed-forward Artificial Neural Network (ANN), with the Jackknife cross validation to predict the curve of import containers leaving a port terminal via trucks. Viewing the terminal as a system of systems, we analyze the interactions among the quay, yard, and gate crucial for finalizing the import process. The performance of our pre...Show More

Neural Network-Based Prediction of Import Container Outflows via Trucks: A System-of-Systems Analysis in Port Terminals

R. Hoxha;A. Olmo;C. Pasquale;R. Sacile;S. Sacone;E. Zero

Year: 2024 | Conference Paper |

A Traffic Model Integrating Long Short-Term Memory Networks with Multi-class Macroscopic Equations

K. Binjaku;C. Pasquale;S. Sacone;E. K. Meçe

2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Year: 2024 | Conference Paper |
Accurate traffic state estimation is crucial for effective transportation management and urban planning. In recent years, deep learning techniques, particularly Long Short-Term Memory (LSTMs) networks, have shown promise in capturing the complex temporal dynamics of traffic systems. This paper proposes a novel approach by integrating LSTM networks with the multi-class METANET model, considering on...Show More

A Traffic Model Integrating Long Short-Term Memory Networks with Multi-class Macroscopic Equations

K. Binjaku;C. Pasquale;S. Sacone;E. K. Meçe

Year: 2024 | Conference Paper |

Pareto-Optimal Event-Based Scheme for Station and Inter-Station Control of Electric and Automated Buses

Cecilia Pasquale;Simona Sacone;Silvia Siri;Antonella Ferrara

IEEE Open Journal of Control Systems
Year: 2024 | Volume: 3 | Journal Article |
This paper considers electric and automated buses required to follow a given line and respect a given timetable in an inter-city road. The main goal of this work is to design a control scheme in order to optimally decide, in real time, the speed profile of the bus along the line, as well as the dwell and charging times at stops. This must be done by accounting for the traffic conditions encountere...Show More

Pareto-Optimal Event-Based Scheme for Station and Inter-Station Control of Electric and Automated Buses

Cecilia Pasquale;Simona Sacone;Silvia Siri;Antonella Ferrara

Year: 2024 | Volume: 3 | Journal Article |

Real-Time Planning of Platoons Coordination Decisions Based on Traffic Prediction

T. Chaanine;C. Pasquale;S. Siri;S. Sacone

2024 European Control Conference (ECC)
Year: 2024 | Conference Paper |
This paper deals with the optimal speed control of two platoons that share part of their freeway routes and need to perform merging and diverging procedures. The proposed control scheme has a centralized nature and is applied periodically by the platoons coordinator which receives in real time the state of the platoons and the traffic measurements on the network, based on which a traffic predictio...Show More

Real-Time Planning of Platoons Coordination Decisions Based on Traffic Prediction

T. Chaanine;C. Pasquale;S. Siri;S. Sacone

Year: 2024 | Conference Paper |

A Control-Oriented Highway Traffic Model with Multiple Clusters of CAVs

T. Chaanine;A. Ferrando;C. Pasquale;V. P. Pastore;M. Sadeghi Garjan;S. Siri

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
The presented work falls in the field of modelling the presence of multiple clusters of connected autonomous vehicles (CAVs), i.e., groups of CAVs in traffic flow that, if properly controlled, can positively influence traffic behavior by acting as actuators of specific control strategies. An extended version of the well-known Cell Transmission Model (CTM) is used as a traffic model, where the cell...Show More

A Control-Oriented Highway Traffic Model with Multiple Clusters of CAVs

T. Chaanine;A. Ferrando;C. Pasquale;V. P. Pastore;M. Sadeghi Garjan;S. Siri

Year: 2023 | Conference Paper |

Control Oriented Freeway Traffic Modelling by Physics-Regularized Machine Learning

K. Binjaku;E.K. Meçe;C. Pasquale;S. Sacone

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
A modelling framework for freeway traffic systems specifically oriented to the definition of suitable control schemes is developed in this paper. The traffic system includes different vehicle classes (passengers and freight vehicles) whose behaviour is explicitly modelled. Vehicles can enter the free-way arriving from the mainstream or through on-ramps on which traffic volumes may be regulated wit...Show More

Control Oriented Freeway Traffic Modelling by Physics-Regularized Machine Learning

K. Binjaku;E.K. Meçe;C. Pasquale;S. Sacone

Year: 2023 | Conference Paper |

Decentralized Control of Intercity Electric Automated Buses via Time-Varying Objective Prioritization

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2023 62nd IEEE Conference on Decision and Control (CDC)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper considers electric automated buses traveling in inter-urban roads and following a given route including stops, that must be reached according to a given timetable. Some of these stops are provided with a charging infrastructure allowing to charge the bus batteries. The paper proposes a decentralized control scheme for determining the optimal speed profiles, the dwell and charging times ...Show More

Decentralized Control of Intercity Electric Automated Buses via Time-Varying Objective Prioritization

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2023 | Conference Paper |

Multi-objective optimization of electric automated bus trajectories based on the ε-constraint method

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2023 31st Mediterranean Conference on Control and Automation (MED)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper deals with electric automated buses that have to follow a given route in inter-urban roads including stops, with a given timetable. Some stops are provided with a charging infrastructure allowing to charge the batteries while others are not. In order to control these buses, it is necessary to account for the traffic conditions along the road and to minimize two objectives, respectively ...Show More

Multi-objective optimization of electric automated bus trajectories based on the ε-constraint method

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2023 | Conference Paper |

New frontiers of freeway traffic control and estimation

M. L. Delle Monache;C. Pasquale;M. Barreau;R. Stern

2022 IEEE 61st Conference on Decision and Control (CDC)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
This article provides an overview of the classical and new techniques in traffic flow control and estimations. The overview begins with a description of the most used traffic flow models for estimation and control. Then, it shifts towards using those models for traffic flow estimation using physics-informed machine learning techniques. Lastly, it focuses on traffic flow control describing the most...Show More

New frontiers of freeway traffic control and estimation

M. L. Delle Monache;C. Pasquale;M. Barreau;R. Stern

Year: 2022 | Conference Paper |

Optimal charging and speed control of electric buses based on traffic flow predictions

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2022 IEEE Conference on Control Technology and Applications (CCTA)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
This paper deals with electric and autonomous buses that have to follow a given route in extra-urban roads, with a given timetable for reaching the stops. All the stops are provided with a charging infrastructure allowing to charge the batteries when buses are present at stops. We propose a real-time control algorithm which computes the optimal speed of buses along the route and the charging times...Show More

Optimal charging and speed control of electric buses based on traffic flow predictions

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2022 | Conference Paper |

A hierarchical control scheme to improve the travel performance of truck platoons in freeways

A. Bozzi;S. Graffione;C. Pasquale;R. Sacile;S. Sacone;S. Siri

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
This paper deals with the control of truck platoons traveling in freeways. In order to improve their travel performance, in terms of travelling times and comfort and to guarantee safety, a hierarchical control scheme is proposed for each platoon. At the high level, the reference speed is computed according to a PI-based control rule with the main aim of reducing the time spent by the platoon in th...Show More

A hierarchical control scheme to improve the travel performance of truck platoons in freeways

A. Bozzi;S. Graffione;C. Pasquale;R. Sacile;S. Sacone;S. Siri

Year: 2022 | Conference Paper |

Two-Stage Multiclass Modeling Approach for Intermodal Rail-Road Transport Networks

Cecilia Pasquale;Enrico Siri;Silvia Siri;Simona Sacone

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (1)
In this paper, a two-stage modeling framework is proposed to represent the route choices and dynamics of two classes of traffic flows, namely passengers and freight, in a large-scale intermodal transportation network. More in details, the transport modes considered in this model are road transport, represented through a highway network, and rail transport. The methodology adopted in this work reli...Show More

Two-Stage Multiclass Modeling Approach for Intermodal Rail-Road Transport Networks

Cecilia Pasquale;Enrico Siri;Silvia Siri;Simona Sacone

Year: 2022 | Volume: 10 | Journal Article |

Traffic-Prediction-Based Optimal Control of Electric and Autonomous Buses

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

IEEE Control Systems Letters
Year: 2022 | Volume: 6 | Journal Article |
Cited by: Papers (6)
This letter considers electric and autonomous buses which have to follow a given route, including fixed stops, in extra-urban roads with a given timetable. A charging infrastructure is present in each stop, allowing to charge the bus batteries. An optimal control scheme is proposed in this letter in order to regulate the optimal speed of buses along the route and the stopping/charging times at sto...Show More

Traffic-Prediction-Based Optimal Control of Electric and Autonomous Buses

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2022 | Volume: 6 | Journal Article |

Centralized and Decentralized Schemes for Platoon Control in Freeway Traffic Systems

S. Sacone;C. Pasquale;S. Siri;A. Ferrara

2021 60th IEEE Conference on Decision and Control (CDC)
Year: 2021 | Conference Paper |
Cited by: Papers (7)
This paper proposes two control architectures to regulate traffic in freeway networks by exploiting the presence of platoons of autonomous and connected vehicles. The idea is based on the assumption that each platoon can be considered as a moving bottleneck that affects the surrounding traffic conditions and then can be adopted as an actuator of traffic control strategies. In this work, the speed ...Show More

Centralized and Decentralized Schemes for Platoon Control in Freeway Traffic Systems

S. Sacone;C. Pasquale;S. Siri;A. Ferrara

Year: 2021 | Conference Paper |

A Modeling Framework for Passengers and Freight in Large-Scale Multi-Modal Transport Networks

C. Pasquale;E. Siri;S. Sacone;S. Siri

2021 29th Mediterranean Conference on Control and Automation (MED)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
In this paper, a modeling framework is proposed to represent the dynamic behavior of both passenger and freight flows in a large-scale multi-modal transportation network. It consists of a macroscopic model developed to support decision makers who intend to utilize the full mobility capacity of a geographical area by allocating the mobility demand on different modes (road and rail transport) or by ...Show More

A Modeling Framework for Passengers and Freight in Large-Scale Multi-Modal Transport Networks

C. Pasquale;E. Siri;S. Sacone;S. Siri

Year: 2021 | Conference Paper |

Hierarchical Centralized/Decentralized Event-Triggered Control of Multiclass Traffic Networks

Cecilia Pasquale;Simona Sacone;Silvia Siri;Antonella Ferrara

IEEE Transactions on Control Systems Technology
Year: 2021 | Volume: 29, Issue: 4 | Journal Article |
Cited by: Papers (14)
Two hierarchical control schemes for regulating traffic in freeway networks via ramp metering are developed in this article. Both schemes are characterized by a multiclass nature and aim to jointly improve the total time spent by the vehicles and their pollutant emissions in the freeway network. Moreover, these schemes have been designed to be “implementation-oriented,” i.e., they are characterize...Show More

Hierarchical Centralized/Decentralized Event-Triggered Control of Multiclass Traffic Networks

Cecilia Pasquale;Simona Sacone;Silvia Siri;Antonella Ferrara

Year: 2021 | Volume: 29, Issue: 4 | Journal Article |

Stabilizing piecewise linear state feedback controllers for freeway networks

C. Pasquale;S. Sacone;S. Siri

2020 European Control Conference (ECC)
Year: 2020 | Conference Paper |
This paper considers a freeway traffic system regulated via ramp metering. By adopting the Asymmetric Cell Transmission Model, a freeway stretch can be seen as a discrete-time piecewise affine system. A general state-space representation for this system is reported in the paper, for a generic number of cells composing the freeway stretch and a generic number of on-ramps. Piecewise linear full-stat...Show More

Stabilizing piecewise linear state feedback controllers for freeway networks

C. Pasquale;S. Sacone;S. Siri

Year: 2020 | Conference Paper |

Multiple Moving Bottlenecks for Traffic Control in Freeway Systems

G. Piacentini;C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2019 18th European Control Conference (ECC)
Year: 2019 | Conference Paper |
Cited by: Papers (16)
This paper introduces a new concept for traffic control in freeway systems by considering the presence of vehicle platoons as possible actuators to mitigate traffic congestion. It is known that the formation of platoons presents relevant advantages for the involved vehicles, first of all in terms of fuel consumption. Besides this, in this paper, the concept of platoon is further developed and it i...Show More

Multiple Moving Bottlenecks for Traffic Control in Freeway Systems

G. Piacentini;C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2019 | Conference Paper |

Closed-loop stability of freeway traffic systems with ramp metering control

C. Pasquale;S. Sacone;S. Siri

2018 IEEE Conference on Decision and Control (CDC)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
In this paper, a freeway traffic system regulated with feedback ramp metering controllers is studied. In particular, a switched controller including the proportional-integral feedback regulator PI-ALINEA and a simpler control law is considered. The Asymmetric Cell Transmission Model, properly rewritten as a piecewise-affine system switching among different sets of linear difference equations, is t...Show More

Closed-loop stability of freeway traffic systems with ramp metering control

C. Pasquale;S. Sacone;S. Siri

Year: 2018 | Conference Paper |

A new Micro-Macro METANET model for platoon control in freeway traffic networks

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Year: 2018 | Conference Paper |
Cited by: Papers (18)
This paper introduces a new hybrid traffic flow model in which the presence of truck platoons is explicitly taken into account. The coordination of fleets of trucks is a relevant issue in the field of freight transport thanks to the benefits that vehicles platooning yield in the reduction of fuel consumption. However, it is recognised that truck platoons behave as moving bottlenecks causing a detr...Show More

A new Micro-Macro METANET model for platoon control in freeway traffic networks

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2018 | Conference Paper |

Optimal Control for Reducing Congestion and Improving Safety in Freeway Systems

Cecilia Pasquale;Simona Sacone;Silvia Siri;Markos Papageorgiou

IEEE Transactions on Intelligent Transportation Systems
Year: 2018 | Volume: 19, Issue: 11 | Journal Article |
Cited by: Papers (17)
The efficiency of freeway systems is often hindered by recurrent and non-recurrent congestion. The occurrence of these events is due not only to the high number of vehicles trying to use a shared infrastructure, but also by phenomena that temporarily deteriorate the capacity of the infrastructure itself. Among them, road accidents are considered as one of the primary causes of non-recurrent conges...Show More

Optimal Control for Reducing Congestion and Improving Safety in Freeway Systems

Cecilia Pasquale;Simona Sacone;Silvia Siri;Markos Papageorgiou

Year: 2018 | Volume: 19, Issue: 11 | Journal Article |

Supervisory multi-class event-triggered control for congestion and emissions reduction in freeways

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2017 | Conference Paper |
Cited by: Papers (5)
The paper addresses the problem of regulating traffic in freeway networks via multi-class ramp metering with the objective of reducing both congestion and traffic emissions. The proposed control scheme includes a supervisor, acting at a higher level, which receives measurements from the network and periodically makes a prediction on the system evolution. At the lower level, local feedback controll...Show More

Supervisory multi-class event-triggered control for congestion and emissions reduction in freeways

C. Pasquale;S. Sacone;S. Siri;A. Ferrara

Year: 2017 | Conference Paper |

A nonlinear optimal control approach to reduce travel times and to improve safety in freeway traffic systems

C. Pasquale;S. Sacone;S. Siri;M. Papageorgiou

2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Year: 2017 | Conference Paper |
Cited by: Papers (5)
This work addresses the problem of controlling freeway traffic systems with coordinated ramp metering, by taking into account not only the reduction of travel times for the drivers but also the improvement of safety conditions. Specifically, a coordinated ramp metering control strategy is sought by defining and solving an optimal control problem in which the objective function to be minimized is a...Show More

A nonlinear optimal control approach to reduce travel times and to improve safety in freeway traffic systems

C. Pasquale;S. Sacone;S. Siri;M. Papageorgiou

Year: 2017 | Conference Paper |

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