Vehicles and VRU Virtual eValuation of Road Safety

Informazioni relative al progetto

V4SAFETY

ID dell’accordo di sovvenzione: 101075068

DOI

10.3030/101075068

Progetto chiuso

Data della firma CE 12 Agosto 2022

Data di avvio 1 Ottobre 2022

Data di completamento 30 Settembre 2025

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 4 157 990,08

Contributo UE

€ 4 157 987,00

Coordinato da

NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO
Netherlands

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

Documents, reports (9)

D7.3 Final dissemination and exploitation strategy

Final dissemination and exploitation strategy to maximise acceptance and impact of the final results (task 7.1)

D1.2 Final data management plan

Final data management plan including revised data types, access and sharing, and preservation. Task 1.2

D3.1 Guidelines for the development, quality, and use of models of road-user behaviour and models for in-crash simulations in virtual safety assessment

Guidelines for the development, quality, and use of models of road-user behaviour and models for in-crash simulations in virtual safety assessment for use by future users to enable simulation with human models in a consistent, comparable and accurate way (Objective 2)•State-of-the-art literature reviews of the different model types•Descriptions of typical development and validation strategies for the different model types in T3.1 – T3.4•Guidelines describing the best-practice use and documentation of the different types of models for different types of benefit assessment methods, to facilitate transparency and generalisation

D7.2 Exploitation strategy, including periodic updates

Exploitation strategy, including periodic updates to maximise the societal, industrial and scientific impact of the results (T7.2).

D2.2 Prospective Safety Assessment Frame-work – Method

Prospective Safety Assessment Framework – Method - to reach wide acceptance and harmonisation (Objective 1)•Documentation of the prospective safety assessment framework (T2.1) including projection method (T2.2, Objective 6)•Documentation of the V&V process and its results (T2.4)

D1.1 Data management plan

Data management plan including including roles and responsibilities, data types, standards for data and metadata, access and sharing, and preservation. TASK 1.2

D7.1 Communication and dissemination strategy, including periodic updates

Communication and dissemination strategy, including periodic updates to reach acceptance of the proposed framework (T7.1, T7.3, Objective 7)

D4.1 Data Sources for Baseline Generation – Overview, Grading, and Recommendations

Data Sources for Baseline Generation – Overview, Grading, and Recommendations to allow future users to efficiently generate a baseline for comparison of results •Overview of the different types of data sources from T4.1, describing all properties relevant to their se-lection for different assessments•Methodology for selecting data sources, as well as practical approaches and schemas for grading data sources for different assessments

D2.1 Prospective Safety Assessment Frame-work – Instruction

Instructions from T2.3 for applying the method and tools in an easy-to-read form that allows future users to apply the Prospective Safety Assessment Framework

Other (1)

D5.2 Simulation models for safety performance assessment

Simulation models for safety performance assessment. •Compilation of models developed within V4SAFETY (T3.2, T3.3, T5.2, T5.3) developed within V4SAFETY (WP3, WP5) and links to already existing, publicly available models or simulation structures recommended by the V4SAFETY consortium to be used for performance assessment of road safety solutions.

Pubblicazioni

Other (10)

V4SAFETY Forward Collision Warning (FCW) Model

Autori: Beckmann, J., Jokhio, S., Zhao, M.
Pubblicato in: Open Virtual Testing platform, 2025
Editore: OpenVT

V4SAFETY Processor

Autori: Peter Wimmer, ...
Pubblicato in: 2025
Editore: V4SAFETY

V4SAFETY Infrastructure to Vehicle communication (I2V) Model

Autori: H.J.D van de Sluis, A.P. Teerhuis
Pubblicato in: 2025
Editore: OpenVT

Challenges and recommendations using surrogates for safety impact assessment: correcting misestimations.

Autori: Bärgman, J., Zhao, M., & Flannagan, C.
Pubblicato in: 2025
Editore: TechRxiv
DOI: 10.36227/TECHRXIV.175877817.75799249/V1

ISO/TS 21934-2:2024(en) Road vehicles — Prospective safety performance assessment of pre-crash technology by virtual simulation — Part 2: Guidelines and requirements for application

Autori: Major contributions to the TS came from the P.E.A.R.S. Consortium. All V4SAFETY partners are members of P.E.A.R.S.
Pubblicato in: ISO, 2024
Editore: ISO

Methodological challenges of scenario generation validation: a rear-end crash-causation model for virtual safety assessment

Autori: Bärgman, Jonas; Svärd, Malin; Lundell, Simon; Hartelius, Erik
Pubblicato in: 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2310.18492

Quantification of Quality and Efficiency of Human Gaze Strategies Using the Example of Interactions between Motorists and Vulnerable Road Users

Autori: Denk, Fröhling, Brunner, Huber, Margreiter, Bogenberger, Kates
Pubblicato in: SSRN, 2025
Editore: Transportation Research Part F: Traffic Psychology and Behaviour
DOI: 10.2139/SSRN.4772737

On human behavior models for virtual safety impact assessment: A scoping review

Autori: Bärgman, J., Jokhio, S., Svärd, M., Fries, A., Denk, F., Paliotto, A., de Oliveira, L. F. A., Beckmann, J. N. B., Adjenughwure, K., Davidse, R. J., de Zwart, R., Fahrenkrog, F., Hammouda, M., & Olleja, P.
Pubblicato in: 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.17253866

Practical Equivalence Testing and Its Application in Synthetic Pre-Crash Scenario Validation

Autori: Wu, J., Sander, U., Flannagan, C., Zhao, M., & Bärgman, J.
Pubblicato in: 2025
Editore: arXiv

V4SAFETY Automated Emergency Braking (AEB) Model

Autori: Hay, J., Fonseca Alexandre de Oliveira, L., Schories, L.,Dahringer, N.
Pubblicato in: Open Virtual Testing platform, 2025
Editore: OpenVT

Conference proceedings (4)

Integrating Data Sources into the Process of Human Driver Performance Model Development

Autori: J. Beckmann, F. Russ, P. Legran, L. Eckstein - Institute for Automative Engineering (ika) RWTH Aachen University
Pubblicato in: Driving Simulation Conference Europe 2024 VR, 2024
Editore: Driving Simulation Conference Europe 2024 VR

Causality-based Transfer of Driving Scenarios to Unseen Intersections

Autori: Glasmacher, C., Schuldes, M., El Masri, S., Eckstein, L.
Pubblicato in: 2024
Editore: arXiv

Comparison of Parametrization Approaches for Scenario-Based Testing.

Autori: Christoph Glasmacher, Marcel Sonntag, Lutz Eckstein
Pubblicato in: Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, 2025
Editore: VEHITS 2025

Development of a Motion Cueing Evaluation Metric Combining Objective Parameters and Subjective Assessment

Autori: Fabian Russ, Malte Steines, Julia Pelzer, Philipp Legran, Lutz Eckstein
Pubblicato in: Driving Simulation Proceedings journal, Numero Vol.10 - Driving Simulation Conference Europe 2025 XR, 2025
Editore: Driving Simulation Conference Europe XR 2025