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Angelo Coppola - IEEE Xplore Author Profile
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Angelo Coppola

Publications
19
Citations
119
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (27)
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Angelo Coppola

Affiliation

Department of Civil
Architectural and Environmental Engineering
University of Naples “Federico II”, Naples, Italy

Publication Topics

Biography

Angelo Coppola (Member, IEEE) was born in Mugnano (NA), Italy, in 1992. He received the M.Sc. degree in hydraulic and transportation engineering from the University of Naples Federico II, Italy, in 2018, and the Ph.D. degree from the Department of Electrical Engineering and Information Technologies, University of Naples Federico II in 2022, where he is currently a Research Fellow. His research interests include but are not limited to, the development and testing of connected and automated vehicles, advanced driving assistance systems, cooperative intelligent transportation systems, and the development of eco-driving applications and smart roads deployment.(Based on document published on 11 April 2023).
Publications
19
Citations
119
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (27)
Author's Published Works

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Context-aware Nonlinear MPC for Automated Vehicles Embedding Newell's Car-Following Model

Angelo Coppola;Roberta Di Pace;Facundo Storani;Stefano de Luca;Stefania Santini

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2024 | Conference Paper |
Automated Driving Systems equipping Connected and Automated Vehicles (CAVs) require a meticulous design to maximize the advantages of connectivity and automation. However, even the most widespread systems are not free from problems; for instance, the effectiveness of current Adaptive Cruise Control implementations in improving safety, traffic stability and energy consumption is questionable. There...Show More

Context-aware Nonlinear MPC for Automated Vehicles Embedding Newell's Car-Following Model

Angelo Coppola;Roberta Di Pace;Facundo Storani;Stefano de Luca;Stefania Santini

Year: 2024 | Conference Paper |

Co-Simulation Framework for Hardware-in-the-Loop Testing of Integrated CCAM Services

Andrea Marchetta;Angelo Coppola;Marcello Cinque;Gennaro Nicola Bifulco

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2024 | Conference Paper |
The Cooperative, Connected and Automated Mobility (CCAM) paradigm is leading towards a digitalized mobility. However, the implications of the integration of new technologies and services in a real mobility environment are still unclear, and a significant enhancement in the testing of such solutions is required. In this context, a crucial step is the development of co-simulation frameworks represen...Show More

Co-Simulation Framework for Hardware-in-the-Loop Testing of Integrated CCAM Services

Andrea Marchetta;Angelo Coppola;Marcello Cinque;Gennaro Nicola Bifulco

Year: 2024 | Conference Paper |

Comparative Energy Assessment of Automated Electric Vehicles Equipped With Acc Systems

Angelo Coppola;Luca Di Costanzo;Andrea Marchetta

2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Year: 2024 | Conference Paper |
This paper aims at conducting a comprehensive energy assessment of Automated Electric Vehicles equipped with two different type of ACC systems. By systematically comparing the energy performance of these two control strategies, insights about their respective efficiencies are provided under various driving conditions. The study involves rigorous testing and analysis, focusing on the energy consump...Show More

Comparative Energy Assessment of Automated Electric Vehicles Equipped With Acc Systems

Angelo Coppola;Luca Di Costanzo;Andrea Marchetta

Year: 2024 | Conference Paper |

Leveraging AI Techniques to Understand and Simulate Driving Behaviours

Angelo Coppola;Amir Reza Safari

2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)
Year: 2024 | Conference Paper |
Understanding and correctly analysing driving behaviours is pivotal for the advancement of autonomous vehicles and the impact assessment of intelligent transportation systems. Indeed, driving behaviour models derived from vehicle trajectories can be employed in several applications, including autonomous driving, traffic management and safety analysis. In this context, artificial intelligence techn...Show More

Leveraging AI Techniques to Understand and Simulate Driving Behaviours

Angelo Coppola;Amir Reza Safari

Year: 2024 | Conference Paper |

An Artificial Intelligence Approach for Automated Asset Management of Railway Systems

Luca Di Costanzo;Angelo Coppola;Stefano Marrone

2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)
Year: 2024 | Conference Paper |
Automated diagnostic and predictive asset manage-ment capabilities are of paramount importance in the era of connected and automated cooperative mobility. A diagnostic vehicle can scan the rail network and process sensor measurements to prevent incoming disruptions and ensure smooth operation of automated transportation services. This requires the development of reliable algorithms that enable ear...Show More

An Artificial Intelligence Approach for Automated Asset Management of Railway Systems

Luca Di Costanzo;Angelo Coppola;Stefano Marrone

Year: 2024 | Conference Paper |

Safety and Energy Assessment of Electric Vehicles Equipped with Adaptive Cruise Control System

Andrea Marchetta;Angelo Coppola

2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Year: 2024 | Conference Paper |
This work focuses on the assessment of safety and energy performance of an ACC-equipped electric vehicle under different driving conditions. Variability in vehicle dynamics and ACC settings introduces complexities in analysing the performance of the considered system. To address this challenge, an evaluation methodology that integrates stochastic simulation with the PAWN sensitivity technique is e...Show More

Safety and Energy Assessment of Electric Vehicles Equipped with Adaptive Cruise Control System

Andrea Marchetta;Angelo Coppola

Year: 2024 | Conference Paper |

CAVs Platoons Under Nonlinear Spacing Policy and Heterogeneous Communication Delays as a Formation Control Problem

Gennaro Nicola Bifulco;Angelo Coppola;Aniello Mungiello;Alberto Petrillo;Stefania Santini

2024 European Control Conference (ECC)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
This paper solves the platoon control of nonlinear connected autonomous vehicles under variable spacing policy as a formation problem. The main aim is to guarantee that each vehicle, despite wireless communication impairments, moves according to the imposed speed profile while following the desired spacing, adaptable to different traffic conditions. To this end, we first design a novel full-range ...Show More

CAVs Platoons Under Nonlinear Spacing Policy and Heterogeneous Communication Delays as a Formation Control Problem

Gennaro Nicola Bifulco;Angelo Coppola;Aniello Mungiello;Alberto Petrillo;Stefania Santini

Year: 2024 | Conference Paper |

An Eclipse MOSAIC-Based Hardware-in-Loop V2X Co-Simulation Framework for CCAM Services

Andrea Marchetta;Angelo Coppola;Marcello Cinque;Mario Fiorentino;Gennaro Nicola Bifulco

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
The Cooperative, Connected and Automated Mobility (CCAM) paradigm is heavily working towards a more digitalized mobility, increasing road safety while reducing traffic congestion and environmental footprint. However, a detailed analysis of the implications and benefits associated with the integration of CCAM solutions into mobility systems is lacking. Hence, to speed up the market deployment, sign...Show More

An Eclipse MOSAIC-Based Hardware-in-Loop V2X Co-Simulation Framework for CCAM Services

Andrea Marchetta;Angelo Coppola;Marcello Cinque;Mario Fiorentino;Gennaro Nicola Bifulco

Year: 2023 | Conference Paper |

EMER-GO: real-time grip enhanced speed advisory for emergency intelligent transportation systems

Vincenzo M. Arricale;Michele Caggiano;Marcello Cinque;Angelo Coppola;Flavio Farroni;Mario Fiorentino;Andrea Garofalo;Andrea Marchetta;Antimo Perfetto;Aleksandr Sakhnevych

2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
Year: 2023 | Conference Paper |
Green Light Optimal Speed Advisory (GLOSA) is a service that can be beneficial for emergency vehicles, such as ambulances or firetrucks, as it can help them to cross intersections in a short time. However, a wrong or late advice (e.g., due to bad road conditions or unexpected high load) can be hazardous in terms of safety. In this paper, we propose to integrate GLOSA with the road and tire grip ev...Show More

EMER-GO: real-time grip enhanced speed advisory for emergency intelligent transportation systems

Vincenzo M. Arricale;Michele Caggiano;Marcello Cinque;Angelo Coppola;Flavio Farroni;Mario Fiorentino;Andrea Garofalo;Andrea Marchetta;Antimo Perfetto;Aleksandr Sakhnevych

Year: 2023 | Conference Paper |

Fuzzy-Based Variable Speed Limits System Under Connected Vehicle Environment: A Simulation-Based Case Study in the City of Naples

Angelo Coppola;Luca Di Costanzo;Luigi Pariota;Gennaro Nicola Bifulco

IEEE Open Journal of Intelligent Transportation Systems
Year: 2023 | Volume: 4 | Journal Article |
Cited by: Papers (9)
This paper handles the problem of controlling speed limits on freeways in a connected traffic environment to reduce traffic congestion and improve both the operational and environmental performance of the road network. In order to achieve this objective, we present a Variable Speed Limit (VSL) system that utilizes fuzzy logic, which adjusts the speed limits that connected vehicles must comply with...Show More

Fuzzy-Based Variable Speed Limits System Under Connected Vehicle Environment: A Simulation-Based Case Study in the City of Naples

Angelo Coppola;Luca Di Costanzo;Luigi Pariota;Gennaro Nicola Bifulco

Year: 2023 | Volume: 4 | Journal Article |

Eco-Driving Control Architecture for Platoons of Uncertain Heterogeneous Nonlinear Connected Autonomous Electric Vehicles

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 12 | Journal Article |
Cited by: Papers (54)
The improvement of energy performance for platoons of autonomous connected vehicles is one of the major challenges the road transport sector is facing with. To this aim, this work addresses and solves the energy-consumption problem for uncertain heterogeneous electric nonlinear autonomous vehicles platoon via a novel Eco-Driving Control Architecture able to optimize its energy consumption performa...Show More

Eco-Driving Control Architecture for Platoons of Uncertain Heterogeneous Nonlinear Connected Autonomous Electric Vehicles

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2022 | Volume: 23, Issue: 12 | Journal Article |

Adaptive Cruise Control for Autonomous Electric Vehicles based on Q-learning algorithm

Angelo Coppola;Alberto Petrillo;Renato Rizzo;Stefania Santini

2021 AEIT International Annual Conference (AEIT)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
This work presents an ACC-like longitudinal controller for an autonomous electric vehicle, named Ego-Vehicle, based on a Deep Deterministic Reinforcement Learning algorithm. More specifically, the designed algorithm exploits the use of the Deep Deterministic Policy Gradient (DDPG) agent and the reward function explicitly takes into account both the speed and position error of the Ego-Vehicle w.r.t...Show More

Adaptive Cruise Control for Autonomous Electric Vehicles based on Q-learning algorithm

Angelo Coppola;Alberto Petrillo;Renato Rizzo;Stefania Santini

Year: 2021 | Conference Paper |

Route guidance systems based on the macroscopic fundamental diagram concept: a Simulation-Based Case Study in the city of Portici

Alessio Tesone;Angelo Coppola;Luca Di Costanzo;Luigi Pariota;Gennaro Nicola Bifulco

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Year: 2021 | Conference Paper |
Recently, traffic management strategies, leveraging the Macroscopic Fundamental Diagram (MFD) paradigm, have gained a lot of interest since they allow to enhance urban network performance in term of efficiency and energy saving. Within this framework, this paper proposes a route guidance control system that, on the basis of traffic condition of each region, suggests to vehicles the best admissible...Show More

Route guidance systems based on the macroscopic fundamental diagram concept: a Simulation-Based Case Study in the city of Portici

Alessio Tesone;Angelo Coppola;Luca Di Costanzo;Luigi Pariota;Gennaro Nicola Bifulco

Year: 2021 | Conference Paper |

Distributed Fixed-Time Leader-Tracking Control for Heterogeneous Uncertain Autonomous Connected Vehicles Platoons

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

2021 29th Mediterranean Conference on Control and Automation (MED)
Year: 2021 | Conference Paper |
Cited by: Papers (9)
Longitudinal control for platoons of connected autonomous vehicles is a hot research topic in the Cooperative Intelligent Transport Systems (C-ITSs) domain. Most of the existing results solve the platooning problem asymptotically, without ensuring that the consensus could be achieved in a finite settling time. To this aim, in this work we address the problem of guaranteeing the leader-tracking for...Show More

Distributed Fixed-Time Leader-Tracking Control for Heterogeneous Uncertain Autonomous Connected Vehicles Platoons

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2021 | Conference Paper |

Variable Speed Limits System: A Simulation-Based Case Study in the city of Naples

Luca Di Costanzo;Angelo Coppola;Luigi Pariota;Alberto Petrillo;Stefania Santini;Gennaro Nicola Bifulco

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Year: 2020 | Conference Paper |
Cited by: Papers (10)
The development of Intelligent Transportation Systems (ITS) aims to improve the performance of transport systems in terms of efficiency, safety and energy saving. Among these services, the Variable Speed Limit (VSL) systems are widely used to mitigate the problem of traffic congestion by changing the road speed limits in response to traffic, incidents, and/or weather conditions. This paper investi...Show More

Variable Speed Limits System: A Simulation-Based Case Study in the city of Naples

Luca Di Costanzo;Angelo Coppola;Luigi Pariota;Alberto Petrillo;Stefania Santini;Gennaro Nicola Bifulco

Year: 2020 | Conference Paper |

Intersection Crossing in Mixed Traffic Flow Environment leveraging V2X information

Gennaro Nicola Bifulco;Bianca Caiazzo;Angelo Coppola;Stefania Santini

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
The paper addresses the problem of safe crossing a non-signalized intersection in a mixed traffic scenario composed of both connected human-driven and autonomous vehicles. To solve this problem, we propose a control strategy that leverages information shared via V2X for extending the line-of-sight of the on-board ranging sensors. The control protocol augments the classical I-ADAS approach based on...Show More

Intersection Crossing in Mixed Traffic Flow Environment leveraging V2X information

Gennaro Nicola Bifulco;Bianca Caiazzo;Angelo Coppola;Stefania Santini

Year: 2019 | Conference Paper |

Motivating the need for an integrated software architecture for Connected and Automated Vehicles technologies development and testing

Luigi Pariota;Angelo Coppola;Luca Di Costanzo;Claudio D’Aniello;Gennaro Nicola Bifuclo

2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
With the spread of automation in driving, vehicles will have to interact more with the surrounding environment, and consequently the automotive development process will have to contemplate a realistic representation of these elements. This is a critical issue, since in the classic development process used in the automotive field, driver model and traffic environment are represented in a very simpl...Show More

Motivating the need for an integrated software architecture for Connected and Automated Vehicles technologies development and testing

Luigi Pariota;Angelo Coppola;Luca Di Costanzo;Claudio D’Aniello;Gennaro Nicola Bifuclo

Year: 2019 | Conference Paper |

Green Light Optimal Speed Advisory: a C-ITS to improve mobility and pollution

Luigi Pariota;Luca Di Costanzo;Angelo Coppola;Claudio D’Aniello;Gennaro Nicola Bifulco

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Year: 2019 | Conference Paper |
Cited by: Papers (8)
Intersections, and more traffic signals, introduce stops along trip increasing travel time, stress, fuel consumption and emissions. To confine the stop-and-go phenomenon due to traffic signals several researchers focused on the use of actuated traffic lights. In last years the digital transformation of cities give us lot of information could be used for several purposes, one of them is the impleme...Show More

Green Light Optimal Speed Advisory: a C-ITS to improve mobility and pollution

Luigi Pariota;Luca Di Costanzo;Angelo Coppola;Claudio D’Aniello;Gennaro Nicola Bifulco

Year: 2019 | Conference Paper |

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