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CORDIS - Risultati della ricerca dell’UE
CORDIS

Ai-aided deCision tool for seamless mUltiModal nEtwork and traffic managemeNt

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Digital Twin general platform version 1 (si apre in una nuova finestra)

This deliverable will include the Generic platform Digital Twin. It refers to the interim reporting period. It will be produced in Task 5.4.

ACUMEN tools integration version 1 (si apre in una nuova finestra)

Deliverable 5.2 will present the integration of ACUMEN AI-based management and decision tools. This deliverable refers to the interim reporting period. It will be produced as part of Task 5.2.

DT Reference Architecture (si apre in una nuova finestra)

Deliverable 5.1 will include the Digital Twin design guidelines and Reference Architecture Framework. The framework will evolve throughout the project, by design. This deliverable will be developed in the frame of Task 5.1.

Pilot reports and synthesis version 1 (si apre in una nuova finestra)

Deliverable 6.3 refers to the general overview and synthesis of pilot results from Tasks 6.2-6.5. Success and steps for further improvements will be incorporated. Lessons learnt will feed WP7. This deliverable refers to the interim reporting period and will be produced in Task 6.6.

Dissemination and communcation strategy version 2 (si apre in una nuova finestra)

This deliverable is the update of deliverable 7.1. It refers to the interim reporting period. It will be developed as part of Task 7.1.

Dissemination and communication strategy version 1 (si apre in una nuova finestra)

This deliverable includes the dissemination and communication plan of the project. This version refers to the early stages of the project. The plan will be updated during the project. It is developed as part of Task 7.1. It will include an initial framework for exploitation to be detailed in the D7.6 and D7.7.

ACUMEN website (si apre in una nuova finestra)

This deliverable refers to the project website. This website will serve as the main hub for offering information about the project activities and demonstrating outputs. This deliverable will be developed in Task 7.2.

Data Management Plan version 2 (si apre in una nuova finestra)

This deliverable will include the content of the first update of D1.1. It will be produced in Task 1.2.

Data Management Plan version 1 (si apre in una nuova finestra)

The Data Management Plan will be developed to allow the enforcement of data management policy and ensure the proper present data management and future data processing. This deliverable will be produced in Task 1.2.

Pubblicazioni

Scaling methods for estimating macroscopic fundamental diagrams in urban networks with sparse stationary sensor coverage (si apre in una nuova finestra)

Autori: Maiti, Nandan, Seppecher, Manon, Leclercq, Ludovic
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 178, 2025, ISSN 0968-090X
Editore: Elsevier
DOI: 10.1016/J.TRC.2025.105213

Assessing how ride-hailing rebalancing strategies improve the resilience of multi-modal transportation systems (si apre in una nuova finestra)

Autori: Euntak Lee, Rim Slama, Ludovic Leclercq
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 179, 2025, ISSN 0968-090X
Editore: Elsevier BV
DOI: 10.48550/ARXIV.2412.00276

Electric integrated demand-responsive transport services with capacitated charging stations, multiple depots, and customer rejections (si apre in una nuova finestra)

Autori: Yumeng Fang, Tai-Yu Ma, Francesco Viti
Pubblicato in: Multimodal Transportation, Numero 5/3, 2026, ISSN 2772-5863
Editore: Elsevier
DOI: 10.1016/J.MULTRA.2026.100312

A New Perspective on Urban Mobility Through Large-Scale Drone Experiments for Smarter, Sustainable Cities (si apre in una nuova finestra)

Autori: Manos Barmpounakis, Jasso Espadaler-Clapés, Dimitrios Tsitsokas, Taylor Mordan, Nikolas Geroliminis
Pubblicato in: Drones, Numero 9/9, 2025, ISSN 2504-446X
Editore: MDPI
DOI: 10.3390/DRONES9090637

Contemporary development directions for urban digital twins (si apre in una nuova finestra)

Autori: J.-P. Virtanen; J.-P. Virtanen; J. Alander; H. Ponto; V. Santala; R. Martijnse-Hartikka; A. Andra; T. Sillander
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero XLVIII-4/W10-2024, 2024, ISSN 1682-1750
Editore: Copernicus Publications
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-4-W10-2024-177-2024

European Transport Research Review (si apre in una nuova finestra)

Autori: Nandan Maiti, Manon Seppecher, Ludovic Leclercq
Pubblicato in: European Transport Research Review, Numero 17, 2025, ISSN 1867-0717
Editore: Springer Verlag
DOI: 10.1186/S12544-025-00750-9

A traffic-flow-dependent macroscopic model of electric vehicle energy consumption (si apre in una nuova finestra)

Autori: Marcello Montanino, Ilaria Natale, Chiara Fiori, Vincenzo Punzo
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 178, 2025, ISSN 0968-090X
Editore: Elsevier
DOI: 10.1016/J.TRC.2025.105220

Year-on-year analysis of multi-modal digital travel diaries: Temporal, spatial and modal traveler profiles (si apre in una nuova finestra)

Autori: Charalampos Sipetas, Nejc Geržinič, Zhiren Huang, Oded Cats, Miloš N. Mladenović
Pubblicato in: Transportation Research Part A: Policy and Practice, Numero 203, 2026, ISSN 0965-8564
Editore: Elsevier
DOI: 10.1016/J.TRA.2025.104734

Estimating Spatial Mean Speeds from Local Sensors: A Machine-Learning Approach (si apre in una nuova finestra)

Autori: Maiti, Nandan, Leclercq, Ludovic
Pubblicato in: Data Science for Transportation, Numero 7, 2025, ISSN 2948-135X
Editore: Springer Nature
DOI: 10.1007/S42421-025-00120-W

CV-MP: Max-pressure control in heterogeneously distributed and partially connected vehicle environments (si apre in una nuova finestra)

Autori: Chaopeng Tan, Dingshan Sun, Hao Liu, Marco Rinaldi, Hans van Lint
Pubblicato in: Transportation Research Part B: Methodological, Numero 204, 2026, ISSN 0191-2615
Editore: Elsevier
DOI: 10.1016/J.TRB.2025.103387

Real-time on-board passenger comfort estimation in complex public transport networks with intersecting lines (si apre in una nuova finestra)

Autori: Charalampos Sipetas, Claudio Roncoli, Ektoras Chandakas, Ioannis Kaparias
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 186, 2026, ISSN 0968-090X
Editore: Elsevier
DOI: 10.1016/J.TRC.2026.105607

Beyond links: The power of path incentives in alleviating congestion and emissions in urban networks

Autori: Niroumand, R., Vosough, S., Rinaldi, M., Connors, R., and Roncoli, C.
Pubblicato in: Symposium of the European Association for Research in Transportation (hEART)

Real-time on-board crowding estimation in public transport networks with multiple lines using non-exhaustive automatic passenger counting data

Autori: Sipetas, C., Roncoli, C., Chandakas, E., Kaparias, I.
Pubblicato in: Transportation Research Board (TRB), 2024

Defining Seamless Multimodal Transportation through Four Key Principles: A Systematic Approach

Autori: Euntak Lee, Serio Agriesti, Shaghayegh Vosough, Charalampos Sipetas, Claudio Roncoli, Marco Rinaldi, Ludovic Leclerq
Pubblicato in: hEART 2025: 13th Symposium of the European Association for Research in Transportation, 2025
Editore: hEART

A Machine Learning framework for public transport ridership estimation using multi-source data fusion with low-cost Bluetooth data

Autori: Chris Yung, Charalampos Sipetas, Claudio Roncoli
Pubblicato in: CASPT2025 (16th International Conference on Advanced Systems in Public Transport), 2025
Editore: Aalto University

A Causal, Theory-Informed Framework for Traffic Flow Forecasting

Autori: Panagiotis Fafoutellis and Eleni Vlahogianni
Pubblicato in: Conference in Emerging Technologies in Transportation Systems (TRC-30)

Estimating on-board crowding in complex public transport networks from incomplete automatic passenger counts (si apre in una nuova finestra)

Autori: Sipetas, C., Roncoli, C., Chandakas, E., Kaparias, I.
Pubblicato in: Conference in Emerging Technologies in Transportation Systems (TRC-30), 2024
Editore: EPFL
DOI: 10.1016/j.trc.2022.103963

Generating activity-specific multimodal trips from aggregated data source

Autori: Scheffer, A., Connors, R., Nakao,H., and Viti, F.
Pubblicato in: Symposium of the European Association for Research in Transportation (hEART)

Ride-Hailing Vehicle Rebalancing Strategies Under Disruptions: A Case Study in Athens (si apre in una nuova finestra)

Autori: Lee, Euntak; Slama, Rim; Geroliminis, Nikolas; Leclercq, Ludovic
Pubblicato in: 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2025
Editore: IEEE
DOI: 10.1109/MT-ITS68460.2025.11223610

Dynamic Incentives for Efficient Traffic Management: A Reinforcement Learning Approach

Autori: Germán Pardo-González, Shaghayegh Vosough, Katerina Papadaki, Claudio Roncoli
Pubblicato in: hEART 2025: 13th Symposium of the European Association for Research in Transportation, 2025
Editore: hEART

Assessing the Resilience of Rebalancing Strategies for Ride-hailing Services in Multi-modal Transportation System

Autori: Euntak Lee, Rim Slama, Ludovic Leclercq
Pubblicato in: 12th Triennial Symposium on Transportation Analysis (TRISTAN XII), 2025
Editore: TRISTAN

Evaluating link and path incentives: Which is the most effective strategy for mitigating traffic congestion?

Autori: Ramin Niroumand, Shaghayegh Vosough, Claudio Roncoli, Marco Rinaldi, Richard Connors
Pubblicato in: 104th Annual Meeting of the Transportation Research Board (TRB), 2025
Editore: TU Delft

Efficient Real-Time CAV Trajectory Optimization at Signal-Free Intersections Using a Greedy-Based Heuristic Approach

Autori: Niroumand, R., Kafashan, F., Hajibabai, L., Hajbabaie, A., and Roncoli, C.
Pubblicato in: Conference in Emerging Technologies in Transportation Systems (TRC-30)

Unveiling Challenges in Empirical Estimation of Multimodal Network Macroscopic Fundamental Diagrams: A Data Fusion Perspective

Autori: Maiti, Nandan, Seppecher, Manon, and Leclercq, Ludovic
Pubblicato in: 104th Transportation Research Board Annual Meeting (TRB 2025), 2025
Editore: Transportation Research Board

Balancing congestion and emissions in urban networks via path-based incentives

Autori: Ramin Niroumand, Shaghayegh Vosough, Claudio Roncoli, Marco Rinaldi, Richard Connors
Pubblicato in: 5th Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS), 2024
Editore: TU Delft

Investigating the Resilience of Ride-hailing Fleet Management Strategies for Seamless Multi-modal Transportation Systems

Autori: Euntak Lee, Ludovic Leclercq
Pubblicato in: Transportation Research Board 104th Annual Meeting, 2025
Editore: TRB

Multimodal Traffic Management: Roadmap for 2023 and beyond (si apre in una nuova finestra)

Autori: Multimodal Traffic Management Cluster (MTMC)
Pubblicato in: EU Open Research Repository
Editore: Zenodo
DOI: 10.5281/ZENODO.14620148

Navigating Data in the Field of Traffic Management (si apre in una nuova finestra)

Autori: Torres, P., Cervera, R., Van Katwijk; R., Babio, L., Comerio, M., Scrocca, M., Natvig, M., Sorasen, R., and Benmayor, A.
Pubblicato in: EU Open Research Repository
Editore: Zenodo
DOI: 10.5281/ZENODO.14619828

A machine learning framework for public transport ridership estimation using multi-source data fusion with low-cost bluetooth data

Autori: Chris Yung, Supervisor: Claudio Roncoli, Advisor: Charalampos Sipetas
Pubblicato in: 2024
Editore: Aalto University

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