Mungiello, Aniello (2026) Cooperative, Connected and Automated Mobility: Methodologies and Applications. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Cooperative, Connected and Automated Mobility: Methodologies and Applications |
| Autori: | Autore Email Mungiello, Aniello aniello.mungiello@unina.it |
| Data: | 2026 |
| Numero di pagine: | 230 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 38 |
| Coordinatore del Corso di dottorato: | nome email Russo, Stefano stefano.russo@unina.it |
| Tutor: | nome email Stefania, Santini [non definito] |
| Data: | 2026 |
| Numero di pagine: | 230 |
| Parole chiave: | CCAM, C-ITS, Autonomous racing, Robust Control, explainable artificial intelligence, Vehicle-in-the-Loop. |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica |
| Informazioni aggiuntive: | 38esimo Ciclo mungiellonello@gmail.com |
| Depositato il: | 04 Feb 2026 16:46 |
| Ultima modifica: | 12 Ago 2026 05:37 |
| URI: | https://www.fedoa.unina.it/id/eprint/16200 |
Abstract
Cooperative, Connected, and Autonomous Mobility (CCAM) represents a cornerstone in the development of Intelligent Transportation Systems (ITS),\\ aimed at deploying services that enhance road safety and optimize traffic performance. In this context, this dissertation contributes by introducing novel control methodologies for autonomous vehicle platoons and by proposing an advanced co-simulation platform for the validation of such systems. The first part of the work focuses on the design of robust control architectures for connected vehicles, explicitly accounting for the main impairments typical of Vehicle-to-Everything (V2X) communications, including delays and DoS attacks, as well as faults occurring in the vehicle actuation systems. Furthermore, a new spacing policy is proposed, for which a comprehensive stability analysis is provided. The impact of this spacing policy on traffic performance is then quantified through simulations, highlighting how it affects traffic flow capacity and stability. The second part of the dissertation addresses another fundamental requirement of the CCAM paradigm: the validation of connected and automated driving functionalities. A Vehicle-in-the-Loop (ViL) platform is therefore presented, designed to provide a realistic, synchronized, and reproducible representation of test scenarios. The platform integrates a complete autonomous driving stack coupled with a high-fidelity digital twin that replicates the dynamics, sensors, and behavior of the real vehicle within the virtual environment. The validation results obtained on selected ADAS functionalities demonstrate the capability of the platform. The final chapter reports the experimental tests conducted on proving grounds, which confirm the effectiveness of the proposed methodologies and the realism of the ViL framework. Overall, the work provides significant contributions in both the control and validation domains, strengthening the foundations for the deployment of future CCAM services within next-generation ITS ecosystems.
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