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
Open-access GitHub repository containing data that have been measured in field experiments and have informed the development of the model. With the data, various hypotheses and assumptions are tested before they are integrated into the model. Linked to task 5.2
Experimental data relevant to model validation (öffnet in neuem Fenster)After the model development, field experiments are performed to test the models in specific situations and compare i4Driving model predictions with measured driving behaviours. An Open-access GitHub repository will include data that are measured in field experiments and passed to the validation framework. Linked to task 5.3
Harmonized, annotated, and processed data in usable format (öffnet in neuem Fenster)Open-access GitHub repository containing converted data from various sources, available in the OpenSCENARIO and the CommonRoad format. Linked to task 1.1.
The document published in an open access GitHub repository includes two aspects: (i) the quality of the 4D human driver model is evaluated and compared to current models available to simulate human driver behaviors, (ii) the newly developed 4D human driver model is applied for safety and efficiency evaluation (in a mixed traffic environment). In this respect, travel time and energy consumption are comparison criteria, among other things. Linked to task 6.6
Specification of the scenario description language, and conversion tool (öffnet in neuem Fenster)This deliverable contains: 1) a documentation of a scenario description language specification, specifying the language concept, the language grammar, and the conversion approach to the ASAM OpenX format, 2) a documentation detailing the conversion toolchain development for converting the scenarios described in the scenario description language in point 1 to the ASAM OpenX standards. Linked to task 6.2
Human driver models as baseline for consumer testing campaigns of ADS (öffnet in neuem Fenster)A document published in an open access GitHub repository will describe:a) the execution of concrete scenarios using, as ego vehicle, either the ADS and the human driver models in order to compare their behaviours. b) the execution of a set of scenarios using an integrated human driver model + ADS/ADAS unit as ego vehicle to demonstrate that the human driver models can be used for ADS/ADAS testing (not fully automated functions). Linked to task 6.4
Integrated LC with social interactions and HF models – theory and principles (öffnet in neuem Fenster)Paper / report, published on an open access GitHub repository, on new simulation models for integrated lane changing (LC) and car following (CF) that include additional Human Factors which are expected to increase the predictive power of human driver models. These HFs include social interactions (tailgating, getting/staying out-of-the-way) and effects of perception errors (e.g. underestimating gaps) and response adaptation (e.g. reducing desired speed). Linked to task 2.3
Dissemination and exploitation plan update (öffnet in neuem Fenster)Update/revised dissemination and exploitation plan, including communication activities). Linked to task 7.1
Critical review of state-of-the-art techniques to model drivers’ heterogeneity (öffnet in neuem Fenster)A report published on an open access GitHub repository will detail the state-of-the-art techniques applied in Traffic Flow Theory and Human Factors literatures to model inter- and intra-driver heterogeneity. Linked to task 4.1
Research Data Management Plan 2 (öffnet in neuem Fenster)Second update of the research data management plan. Linked to task 8.4
Integrated LC with social interactions and HF models – verification and calibration (öffnet in neuem Fenster)A report uploaded on an open access GitHub repository detailing the scrutinized competing approaches, assumptions, model formulations and parameter structures, and the results of model verification and calibration. Linked to task 2.4
Experimental setup for the driving simulator experiments (öffnet in neuem Fenster)A report published on open access GitHub repository, describing the experimental design of the driving simulator experiments. This includes description of which use cases will be studied, in which driving simulator, and descriptions of the driving simulator scenarios. Linked to task 3.1
Methods to harmonize data on human driving performance from different datasets (öffnet in neuem Fenster)A report uploaded on an open access GitHub repository detailing developed methods to translate data into different formats (for instance, map information of traffic scenes is stored in different formats, such as OpenDRIVE or lanelets). Converters will be able to convert all data into a single format for a streamlines evaluation. This is linked to task 1.1.
Project Quality Handbook (öffnet in neuem Fenster)Develop a Project Quality Handbook (including risk assessment plan, ethics and GDPR) and annual quality reviews. This will be developed in M1, revised and updated in M36. Linked to task 8.3
Research Data Management Plan 1 (öffnet in neuem Fenster)Develop the Data Management Plan by M6 and revise in M18 and M36, which follows the FAIR data principles making project data/research outputs findable, accessible, interoperable and reusable. Linked to task 8.4
Report on dissemination activities, including cooperation with other projects (öffnet in neuem Fenster)This report summarises the dissemination activities, stating the details of individual items, partners’ contribution, impact, and how they compare with the original plan. Linked to task 7.2, 7.3, and 7.4
Map of the heterogeneity of human/external factors into driving behaviour perform. (öffnet in neuem Fenster)A report published on an open access GitHub repository describing the analysis of the results from the driving simulator experiments. This includes mapping the results and findings with respect to the heterogeneity of human/external factors. Linked to task 3.2
Research Data Management Plan 3 (öffnet in neuem Fenster)Final update of the research data management plan. Linked to task 8.4
Project Quality Handbook update (öffnet in neuem Fenster)Updated project quality handbook. Linked to task 8.3
White paper (öffnet in neuem Fenster)A documentation describes the project development process within the project, and provides guidelines on how the work can be used in ADS development and policy making. Linked to task 7.5
Final booklet (öffnet in neuem Fenster)Develop the final booklet summarising the main project results, outputs and tools in an easy-to-read and concise format. Linked to task 7.5
Causal relationships between human/external factors and human driving behaviors: modelling requirements & framework of testable hypotheses (öffnet in neuem Fenster)A report published on an open-source GitHub repository detailing key requirements and testable hypotheses for the modelling framework developed in WP2 geared towards credible and plausible modelling outcomes from an HF perspective. Major categories of testable hypotheses examined are awareness, cognitive workload and tactical driving strategies. Linked to task 1.3
Dissemination and exploitation plan update final (öffnet in neuem Fenster)Final update of the dissemination and exploitation plan. Linked to task 7.1
Project glossary (öffnet in neuem Fenster)Develop a project glossary which contains a summary of all main acronyms, terms and definitions relevant for the project. This will be developed in M1, reviewed and updated in M24. Linked to task 8.2
i4Driving Framework design & modeling and coding design principles (öffnet in neuem Fenster)A document and/or reference published on an open access GitHub repository that describes the conceptual and mathematical principles of the microsimulation software (OTS/Aimsun) used in the project in terms of scope and behavioral principles (key assumptions, abstractions and simplifications); numerical solutions (approximation/solution methods, vehicle & infra/graph representation, time/event-queue handling, etc.) and software design principles (naming and coding conventions, data/project management, version management, etc.). Linked to task 2.1
Methods to extract statistically significant relationships between human/external factors and driver behavioral mechanisms, in uncritical and critical situations (öffnet in neuem Fenster)A report uploaded on an open access GitHub repository detailing the selection and use of specific machine learning techniques for identifying the statistically significant relationships between factors and behaviours. Linked to task 1.2.
Exploitation plans for each partner (öffnet in neuem Fenster)An exploitation plan details of the i4Driving outcome for CCAM stakeholders (ADS developers, regulators, certification bodies, consumers etc). It will liaise with various international standardisation and regulatory bodies. This is linked to task 7.6
Implementation framework of the scenario-based evaluation workflow (öffnet in neuem Fenster)This deliverable is the documentation of the development of the scenario based evaluation framework, including all the sub-elements of the framework, and how the framework can be implemented and executed in simulation environment. This is linked to task 6.1.
Project Management Handbook (öffnet in neuem Fenster)Develop an internal handbook to establish and define clear rules/ procedures for communication, contractual, financial and administrative management aspects. Linked to taska 8.1 and 8.2
Methodology and results: relevant use cases and safety-critical scenarios (öffnet in neuem Fenster)This deliverable is to identify the relevant use cases and safety critical scenarios for evaluating the human driver model and the target applications. Using an hazard based testing approach, this deliverable will generate scenarios and identify scenario parameter ranges. They will be in the form of documentation of the scenario generation methodology, and the actual generated scenarios uploaded to the Safety PoolTM scenario database. Linked to task 1.4
Sensitivity Auditing (öffnet in neuem Fenster)A technical self-sustaining report uploaded in an open access GitHub repository will describe the principles of sensitivity auditing, how these have been applied to the modelling activities of i4Driving, and relevant findings. Linked to task 2.5
Evaluation criteria and detailed description of field experiments (öffnet in neuem Fenster)A document published in an open access GitHub repository describing field experiments, including the definition of key driving performance indicators and how they are measured in the field experiments, the characterization of scenarios, necessary equipment, how many participants are needed to realistically replicate the scenarios, and how many experiments are needed to generate statistically valid results. Linked to task 5.1
Human driver models as baseline for PEARS (öffnet in neuem Fenster)Documentation on how the evaluation framework is used for the human driver model (from integrating with the model, to obtaining the scenarios, to establishing the evaluation criteria and executing the scenarios), it also contains the details of the evaluation results. This is linked to task 6.3
Project glossary update (öffnet in neuem Fenster)Updated project glossary. Linked to task 8.2
Dissemination and exploitation plan (including communication activities) (öffnet in neuem Fenster)This deliverable contains a detailed plan stating the dissemination and exploitation roadmap for the i4Driving project. It includes the responsibilities of each partner, the dissemination channels intend to use, together with a dissemination monitor/tracker. Dissemination and exploitation roadmap will include publications, presentations, inputs to standards and regulations. This will be done by M6 and revised in M18 and M36. Linked to task 7.1
The library of validated probabilistic human driver behavioural models will be published open source on a GitHub repository. Linked to tasks 4.3 and 4.4.
Open-source library of techniques to encode drivers’ heterogeneity into models (öffnet in neuem Fenster)The software employed to estimate distributions and correlation structures of i4Driving model parameters will be published open-source on a GitHub repository. Linked to task 4.2
Validated ethics assessment plans and approval from Ethics committee (öffnet in neuem Fenster)A document published in an open access GitHub repository describing the ethics considerations for the driving simulator and real worlds test from the different test facilities. It also includes the approvals from the different national ethic committees. Linked to task 3.1
Website and social networks profiles (öffnet in neuem Fenster)Project website and social networks profiles designed and published online. Linked to task 7.2
Software for automatically increasing the criticality of scenarios (öffnet in neuem Fenster)Open-source GitHub repository containing a software that will alter the states of vehicles (by using optimization techniques), such that the solution space of the ego vehicle is reduced, thus creating a more critical scenario for that vehicle. The input to the software will be a traffic scene in the CommonRoad format. Linked to task 3.1
Open-source library of data mining techniques (öffnet in neuem Fenster)The software employed and adapted for the data mining research will be published on an open-source GitHub repository. Linked to task 1.2
Incremental versions of i4Driving / software library (öffnet in neuem Fenster)Open-source GitHub repository containing software versions. A version represents a major new release of the simulation software (e.g. version 1.0 or 2.1) including release notes, and e.g. updated examples, demo’s, documentation and unit tests. Linked to task 2.2
Open-source GitHub evaluation software toolchain (öffnet in neuem Fenster)OOpen source the language and conversion toolchain (including identifying the correct license) on Github, the deliverable will be a repository with required documentation. This is linked to task 6.1
Suite of unit tests for model development (öffnet in neuem Fenster)A (growing!) catalog / library of annotated testcases (code snippets) designed to identify, locate, and reproduce semantic errors, published in an open-source GitHub repository. This library is a safeguard in preventing re-occuring (resolved) bugs and errors and in making sure new releases/versions are backward compatible. Linked to task 2.1
Validated ethics assessment plan and approval from Ethics committee (öffnet in neuem Fenster)A document published in an open access GitHub repository describing the process of unification and validation of the ethics assessment plans from each partner executing experimental work in closed field tests. The document will also describe the comprehensive programme on Research Ethics at TUM (LfE), and the training possibly provided to the partners to support and ensure the familiarization process with conducting the type of experimental work required for this project. Linked to task 5.1
Documentation on how the evaluation framework is used for different target applications (from integrating with the models, to obtaining the scenarios, to establishing the evaluation criteria and executing the scenarios), it also contains the details of the evaluation results and the thresholds/metrics used for each of the five target applications. This is linked to task 6.2
Veröffentlichungen
Autoren:
Florian Finkeldei, Christoph Thees, Jan-Niklas Weghorn, Matthias Althoff
Veröffentlicht in:
Automotive Innovation, Ausgabe 8, 2025, ISSN 2096-4250
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1007/S42154-025-00360-0
Autoren:
Andrea Saltelli, Marta Kuc-Czarnecka, Samuele Lo Piano, Máté János Lőrincz, Magdalena Olczyk, Arnald Puy, Erik Reinert, Stefán Thor Smith, Jeroen P. van der Sluijs
Veröffentlicht in:
Environmental Science & Policy, Ausgabe 142, 2025, ISSN 1462-9011
Herausgeber:
Elsevier BV
DOI:
10.1016/J.ENVSCI.2023.02.005
Autoren:
arantola S., F. Ferretti, S. Lo Piano, M. Kozlova, A. Lachi, R. Rosati, A. Puy, P. Roy, G. Vannucci, M. Kuc-Czarnecka and Saltelli, A.
Veröffentlicht in:
Elsevier, in Environmental Modelling & Software 174, Ausgabe Elsevier, in Environmental Modelling & Software 174, 2024, ISSN 1873-6726
Herausgeber:
Elsevier
DOI:
10.1016/j.envsoft.2024.105977
Autoren:
Ahlström, C., Kircher, K., Johansson, F., Andersson, A. Olstam, J.
Veröffentlicht in:
Elsevier (Accident Analysis & Prevention), 2025, ISSN 0001-4575
Herausgeber:
Pergamon Press Ltd.
DOI:
10.1016/J.AAP.2025.108276
Autoren:
Andrea Saltelli
Veröffentlicht in:
Environmental Modelling & Software, Ausgabe 188, 2025, ISSN 1364-8152
Herausgeber:
Elsevier BV
DOI:
10.1016/J.ENVSOFT.2025.106430
Autoren:
Andrea Saltelli, Gerd Gigerenzer, Mike Hulme, Konstantinos V. Katsikopoulos, Lieke A. Melsen, Glen P. Peters, Roger Pielke, Simon Robertson, Andy Stirling, Massimo Tavoni, Arnald Puy
Veröffentlicht in:
WIREs Climate Change, Ausgabe 15, 2024, ISSN 1757-7780
Herausgeber:
Wiley
DOI:
10.1002/WCC.915
Autoren:
Saltelli, A.
Veröffentlicht in:
Springer, in Foundations of Science Journal, 2024, ISSN 1572-8471
Herausgeber:
Springer
DOI:
10.1007/s10699-023-09932-x
Autoren:
Lo Piano, S., Lőrincz, M. J., Puy, A., Pye, S., Saltelli, A., Smith, S. T., & van der Sluijs, J. P.
Veröffentlicht in:
Wiley Periodicals LLC on behalf of Society for Risk Analysis, 2023, ISSN 1539-6924
Herausgeber:
Wiley Periodicals LLC on behalf of Society for Risk Analysis
DOI:
10.1111/risa.14248
Autoren:
Maya Sekeran, Tanja Niels, Johannes Lindner, Klaus Bogenberger
Veröffentlicht in:
Transportation Research Procedia, Ausgabe 95, 2026, ISSN 2352-1465
Herausgeber:
Elsevier BV
DOI:
10.1016/J.TRPRO.2026.02.107
Autoren:
Andrea Saltelli
Veröffentlicht in:
Foundations of Science, Ausgabe 29, 2024, ISSN 1233-1821
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1007/S10699-023-09932-X
Autoren:
Di Fiore, M., Kuc-Czarnecka, M., Lo Piano, S., Puy, A. and Saltelli, A.
Veröffentlicht in:
Minerva, 2023, ISSN 1573-1871
Herausgeber:
Minerva
DOI:
10.1007/s11024-022-09481-w
Autoren:
Saltelli, A., Kuc-Czarnecka, M., Piano, S.L., Lőrincz, M.J., Olczyk, M., Puy, A., Reinert, E., Smith, S.T. and van Der Sluijs, J.P.
Veröffentlicht in:
Elsevier - environmental science & policy, Ausgabe Elsevier, in journal of Environmental Science & Policy, 142, pp.99-111, 2023, ISSN 1873-6416
Herausgeber:
Elsevier
DOI:
10.1016/j.envsci.2023.02.005
Autoren:
Stefano Tarantola, Federico Ferretti, Samuele Lo Piano, Mariia Kozlova, Alessio Lachi, Rossana Rosati, Arnald Puy, Pamphile Roy, Giulia Vannucci, Marta Kuc-Czarnecka, Andrea Saltelli
Veröffentlicht in:
Environmental Modelling & Software, Ausgabe 174, 2024, ISSN 1364-8152
Herausgeber:
Elsevier BV
DOI:
10.1016/J.ENVSOFT.2024.105977
Autoren:
Andrea Saltelli, Arnald Puy, Monica Di Fiore
Veröffentlicht in:
International Review of Applied Economics, Ausgabe 39, 2025, ISSN 0269-2171
Herausgeber:
Informa UK Limited
DOI:
10.1080/02692171.2024.2365727
Autoren:
Puy, Arnald; Roy, Pamphile T.; Saltelli, Andrea
Veröffentlicht in:
Technometrics, 2024, ISSN 0040-1706
Herausgeber:
American Statistical Association
DOI:
10.48550/arxiv.2206.13470
Autoren:
Jamal Raiyn; Galia Weidl
Veröffentlicht in:
MDPI - Smart Cities journal, Ausgabe MDPI, in Smart Cities journal, 7(1), 460-474, 2024, ISSN 2624-6511
Herausgeber:
MDPI
DOI:
10.3390/SMARTCITIES7010018
Autoren:
Samuele Lo Piano, Andrea Saltelli
Veröffentlicht in:
Energy Research & Social Science, Ausgabe 127, 2026, ISSN 2214-6296
Herausgeber:
Elsevier BV
DOI:
10.1016/J.ERSS.2025.104296
Autoren:
Monica Di Fiore, Marta Kuc-Czarnecka, Samuele Lo Piano, Arnald Puy, Andrea Saltelli
Veröffentlicht in:
Minerva, Ausgabe 61, 2023, ISSN 0026-4695
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1007/S11024-022-09481-W
Autoren:
Samuele Lo Piano, Máté János Lőrincz, Arnald Puy, Steve Pye, Andrea Saltelli, Stefán Thor Smith, Jeroen van der Sluijs
Veröffentlicht in:
Risk Analysis, Ausgabe 44, 2024, ISSN 0272-4332
Herausgeber:
Wiley
DOI:
10.1111/RISA.14248
Autoren:
Andrea Saltelli, Lieke A. Melsen, Arnald Puy
Veröffentlicht in:
Minerva, 2025, ISSN 0026-4695
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1007/S11024-025-09581-3
Autoren:
Jamal Raiyn, Galia Weidl
Veröffentlicht in:
Smart Cities, Ausgabe 7, 2025, ISSN 2624-6511
Herausgeber:
MDPI AG
DOI:
10.3390/SMARTCITIES7010018
Autoren:
Andrea Saltelli, Arnald Puy
Veröffentlicht in:
SSRN Electronic Journal, 2022, ISSN 1556-5068
Herausgeber:
Elsevier BV
DOI:
10.2139/SSRN.4212453
Autoren:
Arnald Puy, Pamphile T. Roy, Andrea Saltelli
Veröffentlicht in:
Technometrics, Ausgabe 66, 2024, ISSN 0040-1706
Herausgeber:
Informa UK Limited
DOI:
10.1080/00401706.2024.2304341
Autoren:
Ahlström, C., Kircher, K., Olstam, J., Johansson, F., & Andersson, A.
Veröffentlicht in:
Transportforum, 2025
Herausgeber:
VTI
Autoren:
Gerald Würsching, Tobias Mascetta, Sammy Breen, Matthias Althoff
Veröffentlicht in:
2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 2026
Herausgeber:
IEEE
DOI:
10.1109/ITSC60802.2025.11423226
Autoren:
Tianyu Tang, Tobias Zillmann, Johan Olstam, Christer Ahlström, Fredrik Johansson, Wouter Schakel, Klaus Bengler
Veröffentlicht in:
AHFE International, Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies, Ausgabe 200, 2026
Herausgeber:
AHFE International
DOI:
10.54941/AHFE1007130
Autoren:
Kranthi Kumar Talluri, Anders L. Madsen, Galia Weidl
Veröffentlicht in:
2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Herausgeber:
IEEE
DOI:
10.1109/IV64158.2025.11097350
Autoren:
Jamal Raiyn, Galia Weidl
Veröffentlicht in:
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Herausgeber:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0011839600003479
Autoren:
Tobias Mascetta, Edmond Irani Liu, Matthias Althoff
Veröffentlicht in:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Herausgeber:
IEEE
DOI:
10.1109/IV55156.2024.10588548
Autoren:
Chaar, Mohamad Mofeed, Galia Weidl, and Jamal Raiyn
Veröffentlicht in:
9th International Symposium on Transportation Data & Modelling (ISTDM2023), 2023
Herausgeber:
ResearchGate
Autoren:
Gerald Würsching, Tobias Mascetta, Yuanfei Lin, Matthias Althoff
Veröffentlicht in:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Herausgeber:
IEEE
DOI:
10.1109/IV55156.2024.10588748
Autoren:
Florian Finkeldei, Michael Wolf, Jan-Niklas Weghorn, Alexander Pretschner, Matthias Althoff
Veröffentlicht in:
2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 2026
Herausgeber:
IEEE
DOI:
10.1109/ITSC60802.2025.11423597
Autoren:
Jamal Raiyn, Galia Weidl
Veröffentlicht in:
2023 IEEE International Smart Cities Conference (ISC2), 2023
Herausgeber:
IEEE
DOI:
10.1109/ISC257844.2023.10293463
Autoren:
Tobias Mascetta, Kilian Northoff, Matthias Althoff
Veröffentlicht in:
2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Herausgeber:
IEEE
DOI:
10.1109/IV64158.2025.11097682
Autoren:
Müller, M. and Finkeldei, F. and Krasowski, H. and Althoff, M.
Herausgeber:
arXive
Autoren:
Christopher Stang, Julian Hay, Klaus Bogenberger, Galia Weidl
Veröffentlicht in:
2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Herausgeber:
IEEE
DOI:
10.1109/IV64158.2025.11097453
Autoren:
Weidl, G., Berres, S. and Raiyn, J.,
Veröffentlicht in:
International Symposium on Transportation Data & Modelling (ISTDM2023), 2023
Herausgeber:
ResearchGate
Autoren:
Ahlström, C., Kircher, K., Johansson, F., Andersson, A., & Olstam, J
Veröffentlicht in:
Road Safety on Five Continents – RS5C , 2025
Herausgeber:
VTI
Autoren:
Kircher, K., Ahlström, C., Andersson, A., Johansson, F., & Olstam, J. (2025
Veröffentlicht in:
Road Safety on Five Continents – RS5C , 2025
Herausgeber:
VTI
Autoren:
Florian Finkeldei, Matthias Althoff
Veröffentlicht in:
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024
Herausgeber:
IEEE
DOI:
10.1109/ITSC57777.2023.10422092
Autoren:
Wouter Schakel, Victor Knoop, Mehdi Keyvan-Ekbatani, Hans van Lint
Veröffentlicht in:
2023, ISSN 2662-9992
Herausgeber:
MDPI AG
DOI:
10.20944/PREPRINTS202305.0193.V1
Autoren:
Papadoulis, A.
Veröffentlicht in:
2023
Herausgeber:
Aimsum
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