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CORDIS - Forschungsergebnisse der EU
CORDIS

Vehicles and VRU Virtual eValuation of Road Safety

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

D7.3 Final dissemination and exploitation strategy (öffnet in neuem Fenster)

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

D1.2 Final data management plan (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

D5.2 Simulation models for safety performance assessment (öffnet in neuem Fenster)

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.

Veröffentlichungen

V4SAFETY Forward Collision Warning (FCW) Model

Autoren: Beckmann, J., Jokhio, S., Zhao, M.
Veröffentlicht in: Open Virtual Testing platform, 2025
Herausgeber: OpenVT

V4SAFETY Processor

Autoren: Peter Wimmer, ...
Veröffentlicht in: 2025
Herausgeber: V4SAFETY

V4SAFETY Infrastructure to Vehicle communication (I2V) Model

Autoren: H.J.D van de Sluis, A.P. Teerhuis
Veröffentlicht in: 2025
Herausgeber: OpenVT

Challenges and recommendations using surrogates for safety impact assessment: correcting misestimations. (öffnet in neuem Fenster)

Autoren: Bärgman, J., Zhao, M., & Flannagan, C.
Veröffentlicht in: 2025
Herausgeber: 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

Autoren: 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.
Veröffentlicht in: ISO, 2024
Herausgeber: ISO

Methodological challenges of scenario generation validation: a rear-end crash-causation model for virtual safety assessment (öffnet in neuem Fenster)

Autoren: Bärgman, Jonas; Svärd, Malin; Lundell, Simon; Hartelius, Erik
Veröffentlicht in: 2023
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Denk, Fröhling, Brunner, Huber, Margreiter, Bogenberger, Kates
Veröffentlicht in: SSRN, 2025
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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.
Veröffentlicht in: 2025
Herausgeber: Zenodo
DOI: 10.5281/ZENODO.17253866

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

Autoren: Wu, J., Sander, U., Flannagan, C., Zhao, M., & Bärgman, J.
Veröffentlicht in: 2025
Herausgeber: arXiv

V4SAFETY Automated Emergency Braking (AEB) Model

Autoren: Hay, J., Fonseca Alexandre de Oliveira, L., Schories, L.,Dahringer, N.
Veröffentlicht in: Open Virtual Testing platform, 2025
Herausgeber: OpenVT

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

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

Causality-based Transfer of Driving Scenarios to Unseen Intersections

Autoren: Glasmacher, C., Schuldes, M., El Masri, S., Eckstein, L.
Veröffentlicht in: 2024
Herausgeber: arXiv

Comparison of Parametrization Approaches for Scenario-Based Testing.

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

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

Autoren: Fabian Russ, Malte Steines, Julia Pelzer, Philipp Legran, Lutz Eckstein
Veröffentlicht in: Driving Simulation Proceedings journal, Ausgabe Vol.10 - Driving Simulation Conference Europe 2025 XR, 2025
Herausgeber: Driving Simulation Conference Europe XR 2025

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