Enhancing Integration and Interoperability of CCAM eco-system (IN2CCAM)

Informations projet

IN2CCAM

N° de convention de subvention: 101076791

DOI

10.3030/101076791

Projet clôturé

Date de signature de la CE 4 Août 2022

Date de début 1 Novembre 2022

Date de fin 31 Octobre 2025

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 5 576 481,25

Contribution de l’UE

€ 4 979 626,00

Coordonné par

POLITECNICO DI BARI
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (19)

Quality management plan

Quality management plan M03 LIST This deliverable will present the project quality control strategy and a peer review system that will be followed towards all project deliverables and procedures

Existing mobility needs, road infrastructure and governance models

Existing mobility needs road infrastructure and governance models M06 ICCS It is the output of T21 T22 and T23 review the existing literature and projects about mobility needs concerns and expectations of European citizens and vulnerable user groups reviews the needs and requirements of relevant and important stakeholders eg policy makers authorities fleet and traffic operators etc towards the integration of CCAM solutions analyses the road infrastructure traffic rules and governance models for traffic management in relation with CCAM technologies and services

Study questions and KPIs of CCAM ecosystem

Study questions impact areas and KPIs of CCAM ecosystem M8 ICCS It is the output of T24 and will present the study questions and the KPIs to be used in the analyses of WP5

CCAM advanced simulation models and digital twin designs

CCAM advanced simulation models and digital twin designs. M21 [OKAN] – The document will provide advanced simulation models and digital twins for each related LL (output of T3.5).

Mobility network load balancing solutions

Mobility network load balancing solutions. M21 [GLS] – The document defines the architecture, algorithms, methods, APIs necessary for the integration of mobility network load balancing systems with traffic management solutions for each LL (output of T3.3).

Impact assessment methodology

Impact assessment methodology. M21 [OKAN] This deliverable is the output of T5.1 and will report the methodology and framework to evaluate the impact of the CCAM solutions all the LLs.

Use cases definition

Use cases definition M08 GLS It is the output of T25 and will present the use cases to be deployed in the LLs The defined use cases will be compared between LLs in order to find overlaps and propose an interoperability framework based on open standards best suited for the use cases and features defined in WP2

Project management plan - First update

Project management plan M06 POLIBA This deliverable will include a first schedule per task responsible partner related subtasks related deliverables and dependencies on other tasks a Gantt chart and a Work Breakdown Structure

Exploitation plans - First update

Exploitation plans. M18 - [TTS]. The document will include the project exploitation strategy and provide concrete Exploitation Plans. It will include, for each result with the highest market potential: stakeholders involved, resources needed, potential risks and barriers and actions required to exploit them beyond the project lifetime.

Liaison plan

Liaison plan M8 ERTICO Gathers a list of organisations initiatives and projects concluded and ongoing which would represent a benefit in the project successful implementation Specific methodologies and timing on how and when they will be involved will be included in a timeline The timeline will be based on the milestones and progresses of the project It is an output of T71

Data Management Plan - Second update

Data Management Plan – M18 [UBI] This deliverable will present the updated procedures and strategy to be followed in IN2CCAM for data handing and to ensure that its research data is findable, accessible, interoperable and reusable. It will include the principles for data processing, the security measures to be implemented and the informed consent procedures in regards to data processing, especially as regards tracking. This deliverable is an update of D1.4.

IN2CCAM public engagement strategy

IN2CCAM public engagement strategy M08 TTS It will provide the Public Engagement Strategy of IN2CCAM including objectives key target groups existing concerns knowledge and awareness level of CCAM messages that will be communicated channels and tools for engagement timeline and roles of partners

Project management plan - Second update

Project management plan – M18 [POLIBA] This deliverable will include a second schedule per task, responsible partner related subtasks, related deliverables, and dependencies on other tasks, a Gantt chart and a Work Breakdown Structure. This deliverable is an update of D1.1.

CCAM services architecture description

CCAM services architecture description. M21 [AKKA] - The document defines the elements of the CCAM services architecture, providing the basis for the technical innovations and developments of WP3 and the reference for the integrations of the LLs (output of T3.1).

Optimization of multimodal mobility services and goods management and delivery systems

Optimization of multimodal mobility services and goods management and delivery systems. M21 [VTT] – The document will provide descriptions of the individual and integrated mobility service offering and means and results of the service optimization at LLs (output of T3.2 and T3.4).

Data Management Plan - First update

Data Management Plan M06 UBI This deliverable will present the procedures and strategy to be followed in IN2CCAM for data handing and to ensure that its research data is findable accessible interoperable and reusable It will include the principles for data processing the security measures to be implemented and the informed consent procedures in regards to data processing especially as regards tracking

Innovation management plan

Innovation management plan M06 POLIBA It will present the IN2CCAM innovation results and will detail the innovations technical coherence and implementation opportunities with respect to the planned progress It will include an assessment of possible technical risks and means of preventing them It will describe the exploitation activities needed to exploit the project results

Dissemination and Communication plan - First update

Dissemination and Communication plan M4 ERTICO A living document which describes the overall dissemination and communication strategy All dissemination and communications efforts will be reported in the periodic reports

Dissemination and Communication plan - Second update

Dissemination and Communication plan. M18 - [ERTICO]. A living document, which describes the overall dissemination and communication strategy. All dissemination and communications efforts will be reported in the periodic reports. This deliverable is an update od D7.1

Publications

Peer reviewed articles (10)

Object and Pedestrian Detection on Road in Foggy Weather Conditions by Hyperparameterized YOLOv8 Model

Auteurs: Esmaeil Abbasi, Ahmad; Mangini, Agostino Marcello; Fanti, Maria Pia
Publié dans: Electronics, 2024, ISSN 2079-9292
Éditeur: MDPI
DOI: 10.3390/ELECTRONICS13183661

Vehicle Connectivity and Dynamic Traffic Response to Unplanned Urban Events

Auteurs: Javad, Sadeghi; Cristiana, Botta; Brunella, Caroleo; Maurizio, Arnone
Publié dans: Urban Science, 2025, ISSN 2413-8851
Éditeur: MDPI
DOI: 10.3390/URBANSCI9100409

Synthesis of Optimal Stealthy Attacks against Diagnosability in Labeled Petri Nets

Auteurs: Ruotian Liu, Agostino Marcello Mangini, Maria Pia Fanti
Publié dans: IEEE/CAA Journal of Automatica Sinica, Numéro 12, 2025, ISSN 2329-9266
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JAS.2025.125156

Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques

Auteurs: Wasim A. Ali, Michele Roccotelli, Gennaro Boggia, Maria Pia Fanti
Publié dans: Information Security Journal: A Global Perspective, Numéro 33, 2024, ISSN 1939-3555
Éditeur: Informa UK Limited
DOI: 10.1080/19393555.2024.2307638

Managing Innovation in European Research Projects

Auteurs: Maria del Cacho Estil-les, Maria Pia Fanti, Walter Ukovich
Publié dans: International Journal of Business Management and Finance Research, Numéro 8, 2025, ISSN 2641-5313
Éditeur: Academia Publishing Group
DOI: 10.53935/26415313.V8I2.358

Towards sustainable 6G: A collaborative call to action for addressing environmental challenges in (and thanks to) future mobile networks

Auteurs: Regis Decorme; Sébastien Faye; Monique Calisti; Simon Pryor; Indrakshi Dey; Maria Pia Fanti; Francesco Malandrino; Chiara Lombardo
Publié dans: Open Research Europe, 2024, ISSN 2732-5121
Éditeur: European Commission
DOI: 10.12688/OPENRESEUROPE.18767.1

A Cooperative DRL Approach for Autonomous Traffic Prioritization in Mixed Vehicles Scenarios

Auteurs: Volpe, Gaetano; Mangini, Agostino Marcello; Fanti, Maria Pia
Publié dans: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023, ISSN 2161-8089
Éditeur: IEEE
DOI: 10.1109/CASE56687.2023.10260615

Electric Vehicle Routing Optimization for Postal Delivery and Waste Collection in Smart Cities

Auteurs: Maria Asuncion del Cacho Estil-Les, Agostino Marcello Mangini, Michele Roccotelli, Maria Pia Fanti
Publié dans: IEEE Transactions on Intelligent Transportation Systems, Numéro 26, 2025, ISSN 1524-9050
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TITS.2025.3529181

Edit Mechanism Synthesis for Opacity Enforcement Under Uncertain Observations

Auteurs: Wei Duan, Ruotian Liu, Maria Pia Fanti, Christoforos N. Hadjicostis, Zhiwu Li
Publié dans: IEEE Control Systems Letters, Numéro 7, 2023, ISSN 2475-1456
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/LCSYS.2023.3284340

Application of Traffic Load-Balancing Algorithm—Case of Vigo

Auteurs: Selim Dündar, Sina Alp, İrem Merve Ulu, Onur Dursun
Publié dans: Sustainability, Numéro 17, 2025, ISSN 2071-1050
Éditeur: MDPI AG
DOI: 10.3390/SU17198948

Conference proceedings (16)

Prediction of Short Term Traffic Speeds Using Deep Learning Models

Auteurs: Sina Alp, Selim Dündar
Publié dans: 2024 Innovations in Intelligent Systems and Applications Conference (ASYU), 2025
Éditeur: IEEE
DOI: 10.1109/ASYU62119.2024.10757118

Mixed trucks and robots delivery approach: a simulation study

Auteurs: A. Krendeleva, G. Rotunno, W. Ukovich, M. P. Fanti
Publié dans: 2023, ISSN 2305-2023
Éditeur: EMSS 2023
DOI: 10.46354/I3M.2023.EMSS.025

A Co-Simulation Framework for Autonomous Mobility in Urban Mixed Traffic Context^*

Auteurs: Michele Roccotelli, Gaetano Volpe, Maria Pia Fanti, Agostino Marcello Mangini
Publié dans: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024
Éditeur: IEEE
DOI: 10.1109/CASE59546.2024.10711495

Digital Twin for Advanced Network Planning: Tackling Interference

Auteurs: Juan C. Estrada-Jiménez, Valdemar R. Farré-Guijarro, Diana C. Alvarez-Paredes, Marie-Laure Watrinet
Publié dans: 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2025
Éditeur: IEEE
DOI: 10.1109/PIMRC59610.2024.10817462

A Solution Based on Hub Selection and Robot Routing Optimization for Last-mile Delivery

Auteurs: Maria A. del Cacho Estil-les, Wasim A. Ali, Maria Pia Fanti, Mario Binetti, Agostino M. Mangini
Publié dans: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024
Éditeur: IEEE
DOI: 10.1109/CASE59546.2024.10711407

A Deep Reinforcement Learning Approach for Route Planning of Autonomous Vehicles^*

Auteurs: Francesco Paparella, Giuseppe Olivieri, Gaetano Volpe, Agostino Marcello Mangini, Maria Pia Fanti
Publié dans: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2025
Éditeur: IEEE
DOI: 10.1109/SMC54092.2024.10831232

A Co-Simulation Approach of Blockchain Connected Last-Mile Delivery Using Autonomous Robots

Auteurs: Oussema Gharsallaoui, Damien Nicolas, Marie-Laure Watrinet, Ion Turcanu
Publié dans: 2024 6th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 2024
Éditeur: IEEE
DOI: 10.1109/BRAINS63024.2024.10732466

An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic

Auteurs: Antonio Salcuni, Gaetano Volpe, Agostino Marcello Mangini, Maria Pia Fanti
Publié dans: 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE), 2025
Éditeur: IEEE
DOI: 10.1109/CASE58245.2025.11164075

Mixed trucks and robots delivery approach: a simulation study

Publié dans: Proceedings of the 35th European Modeling & Simulation Symposium, EMSS, 2023
DOI: 10.46354/I3M.2023.EMSS.025

Collision Avoidance Strategy for Autonomous Intersection Management by a Central Optimizer Algorithm

Auteurs: F. Paparella, G. Volpe, A. M. Mangini and M. P. Fanti
Publié dans: 2023, ISBN 979-8-3503-3702-0
Éditeur: IEEE
DOI: 10.5281/zenodo.12623416

Collision Avoidance Strategy for Autonomous Intersection Management by a Central Optimizer Algorithm

Auteurs: Paparella F.; Volpe G.; Mangini A. M.; Fanti M. P.
Publié dans: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
DOI: 10.1109/SMC53992.2023.10394341

Enhancing Intersection Identification for Autonomous Vehicles: A Hash-Based Approach

Auteurs: Giuseppe Olivieri, Gaetano Volpe, Agostino Marcello Mangini, Maria Pia Fanti
Publié dans: 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 2024
Éditeur: IEEE
DOI: 10.1109/CODIT62066.2024.10708500

Autonomous Vehicles in last mile delivery: sustainable approaches in urban area

Auteurs: Silvestri, Bartolomeo; Ranieri, Luigi; Fanti, Maria Pia; Mangini, Agostino Marcello; Krendeleva, Angelina
Publié dans: 2025
Éditeur: AIDI

Tram Warning for Automated Shuttle

Auteurs: Tarkiainen, Mikko; Kauvo, Kimmo; Aittoniemi, Elina
Publié dans: IEEE 20th International Conference on Automation Science and Engineering, Bari, Italy., 2024
Éditeur: IEEE RAS

Electric Vehicles Routing Simulation and Optimization under Smart Charging Strategies

Publié dans: Proceedings of the 35th European Modeling & Simulation Symposium, EMSS, 2023
Éditeur: CAL-TEK srl
DOI: 10.46354/I3M.2023.EMSS.021

A Cooperative DRL Approach for Autonomous Traffic Prioritization in Mixed Vehicles Scenarios

Auteurs: G. Volpe, A. M. Mangini and M. P. Fanti
Publié dans: 2023, ISBN 979-8-3503-2069-5
Éditeur: IEEE CASE
DOI: 10.5281/zenodo.12544068