CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Final dissemination and exploitation strategy to maximise acceptance and impact of the final results (task 7.1)
D1.2 Final data management plan (opens in new window)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 (opens in new window)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 (opens in new window)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 (opens in new window)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)
D6.1 Performance assessment of safety solutions and countermeasures in chosen use cases (opens in new window)Performance assessment of safety solutions and countermeasures in chosen use cases to demonstrate the framework (Objective 5)The document will specify the use cases selected, provide the characteristic values for settings and solutions (e.g., Field of View, Operational Design Domain), and list the safety performance results from T6.1).
D4.2 Generating Baseline Scenarios for Predictive Safety Assessment (opens in new window)Generating Baseline Scenarios for Predictive Safety Assessment to allow future users to use baselines in a consistent, comparable and accurate way (Objective 3) •Overview and description of methods for baseline generation from T4.2, dependent on baseline approach•Methods for representing future traffic scenarios from T4.3:oPotentially relevant factors and developments in future traffic scenariosoMethods to address these factors in the baseline generation
D1.1 Data management plan (opens in new window)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 (opens in new window)Communication and dissemination strategy, including periodic updates to reach acceptance of the proposed framework (T7.1, T7.3, Objective 7)
D6.2 Extrapolation of performance assessment of safety solutions and countermeasures over time and at EU level (opens in new window)Extrapolation of performance assessment of safety solutions and countermeasures over time and at EU level (Objective 6).The document will consist of three parts: a description of the data used to scale up results to the EU level (T6.3) , a description of the hypotheses and data used to assess the safety performance extrapolated over time (T6.2) , and a list of the projected performance results.
D4.1 Data Sources for Baseline Generation – Overview, Grading, and Recommendations (opens in new window)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
D5.1 Simulation structure guidelines (opens in new window)Simulation structure guidelines to properly assess safety solutions (Objective 4)•Guidelines from T5.1 for setting up simulation structures and interfaces (T5.4) between models for pro-spective effectiveness assessment.•Interface definitions using existing interface templates to couple the models in the safety assessment simulation structure.
D2.1 Prospective Safety Assessment Frame-work – Instruction (opens in new window)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
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.
Publications
Author(s):
Beckmann, J., Jokhio, S., Zhao, M.
Published in:
Open Virtual Testing platform, 2025
Publisher:
OpenVT
Author(s):
Peter Wimmer, ...
Published in:
2025
Publisher:
V4SAFETY
Author(s):
H.J.D van de Sluis, A.P. Teerhuis
Published in:
2025
Publisher:
OpenVT
Author(s):
Bärgman, J., Zhao, M., & Flannagan, C.
Published in:
2025
Publisher:
TechRxiv
DOI:
10.36227/TECHRXIV.175877817.75799249/V1
Author(s):
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.
Published in:
ISO, 2024
Publisher:
ISO
Author(s):
Bärgman, Jonas; Svärd, Malin; Lundell, Simon; Hartelius, Erik
Published in:
2023
Publisher:
Arxiv
DOI:
10.48550/arxiv.2310.18492
Author(s):
Denk, Fröhling, Brunner, Huber, Margreiter, Bogenberger, Kates
Published in:
SSRN, 2025
Publisher:
Transportation Research Part F: Traffic Psychology and Behaviour
DOI:
10.2139/SSRN.4772737
Author(s):
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.
Published in:
2025
Publisher:
Zenodo
DOI:
10.5281/ZENODO.17253866
Author(s):
Wu, J., Sander, U., Flannagan, C., Zhao, M., & Bärgman, J.
Published in:
2025
Publisher:
arXiv
Author(s):
Hay, J., Fonseca Alexandre de Oliveira, L., Schories, L.,Dahringer, N.
Published in:
Open Virtual Testing platform, 2025
Publisher:
OpenVT
Author(s):
J. Beckmann, F. Russ, P. Legran, L. Eckstein - Institute for Automative Engineering (ika) RWTH Aachen University
Published in:
Driving Simulation Conference Europe 2024 VR, 2024
Publisher:
Driving Simulation Conference Europe 2024 VR
Author(s):
Glasmacher, C., Schuldes, M., El Masri, S., Eckstein, L.
Published in:
2024
Publisher:
arXiv
Author(s):
Christoph Glasmacher, Marcel Sonntag, Lutz Eckstein
Published in:
Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, 2025
Publisher:
VEHITS 2025
Author(s):
Fabian Russ, Malte Steines, Julia Pelzer, Philipp Legran, Lutz Eckstein
Published in:
Driving Simulation Proceedings journal, Issue Vol.10 - Driving Simulation Conference Europe 2025 XR, 2025
Publisher:
Driving Simulation Conference Europe XR 2025
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