CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Second update of the research data management plan. Linked to task 8.4
Integrated LC with social interactions and HF models – verification and calibration (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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. (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Final update of the research data management plan. Linked to task 8.4
Project Quality Handbook update (s’ouvre dans une nouvelle fenêtre)Updated project quality handbook. Linked to task 8.3
White paper (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Final update of the dissemination and exploitation plan. Linked to task 7.1
Project glossary (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Updated project glossary. Linked to task 8.2
Dissemination and exploitation plan (including communication activities) (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Project website and social networks profiles designed and published online. Linked to task 7.2
Software for automatically increasing the criticality of scenarios (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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
Publications
Auteurs:
Florian Finkeldei, Christoph Thees, Jan-Niklas Weghorn, Matthias Althoff
Publié dans:
Automotive Innovation, Numéro 8, 2025, ISSN 2096-4250
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/S42154-025-00360-0
Auteurs:
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
Publié dans:
Environmental Science & Policy, Numéro 142, 2025, ISSN 1462-9011
Éditeur:
Elsevier BV
DOI:
10.1016/J.ENVSCI.2023.02.005
Auteurs:
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.
Publié dans:
Elsevier, in Environmental Modelling & Software 174, Numéro Elsevier, in Environmental Modelling & Software 174, 2024, ISSN 1873-6726
Éditeur:
Elsevier
DOI:
10.1016/j.envsoft.2024.105977
Auteurs:
Ahlström, C., Kircher, K., Johansson, F., Andersson, A. Olstam, J.
Publié dans:
Elsevier (Accident Analysis & Prevention), 2025, ISSN 0001-4575
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/J.AAP.2025.108276
Auteurs:
Andrea Saltelli
Publié dans:
Environmental Modelling & Software, Numéro 188, 2025, ISSN 1364-8152
Éditeur:
Elsevier BV
DOI:
10.1016/J.ENVSOFT.2025.106430
Auteurs:
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
Publié dans:
WIREs Climate Change, Numéro 15, 2024, ISSN 1757-7780
Éditeur:
Wiley
DOI:
10.1002/WCC.915
Auteurs:
Saltelli, A.
Publié dans:
Springer, in Foundations of Science Journal, 2024, ISSN 1572-8471
Éditeur:
Springer
DOI:
10.1007/s10699-023-09932-x
Auteurs:
Lo Piano, S., Lőrincz, M. J., Puy, A., Pye, S., Saltelli, A., Smith, S. T., & van der Sluijs, J. P.
Publié dans:
Wiley Periodicals LLC on behalf of Society for Risk Analysis, 2023, ISSN 1539-6924
Éditeur:
Wiley Periodicals LLC on behalf of Society for Risk Analysis
DOI:
10.1111/risa.14248
Auteurs:
Maya Sekeran, Tanja Niels, Johannes Lindner, Klaus Bogenberger
Publié dans:
Transportation Research Procedia, Numéro 95, 2026, ISSN 2352-1465
Éditeur:
Elsevier BV
DOI:
10.1016/J.TRPRO.2026.02.107
Auteurs:
Andrea Saltelli
Publié dans:
Foundations of Science, Numéro 29, 2024, ISSN 1233-1821
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/S10699-023-09932-X
Auteurs:
Di Fiore, M., Kuc-Czarnecka, M., Lo Piano, S., Puy, A. and Saltelli, A.
Publié dans:
Minerva, 2023, ISSN 1573-1871
Éditeur:
Minerva
DOI:
10.1007/s11024-022-09481-w
Auteurs:
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.
Publié dans:
Elsevier - environmental science & policy, Numéro Elsevier, in journal of Environmental Science & Policy, 142, pp.99-111, 2023, ISSN 1873-6416
Éditeur:
Elsevier
DOI:
10.1016/j.envsci.2023.02.005
Auteurs:
Stefano Tarantola, Federico Ferretti, Samuele Lo Piano, Mariia Kozlova, Alessio Lachi, Rossana Rosati, Arnald Puy, Pamphile Roy, Giulia Vannucci, Marta Kuc-Czarnecka, Andrea Saltelli
Publié dans:
Environmental Modelling & Software, Numéro 174, 2024, ISSN 1364-8152
Éditeur:
Elsevier BV
DOI:
10.1016/J.ENVSOFT.2024.105977
Auteurs:
Andrea Saltelli, Arnald Puy, Monica Di Fiore
Publié dans:
International Review of Applied Economics, Numéro 39, 2025, ISSN 0269-2171
Éditeur:
Informa UK Limited
DOI:
10.1080/02692171.2024.2365727
Auteurs:
Puy, Arnald; Roy, Pamphile T.; Saltelli, Andrea
Publié dans:
Technometrics, 2024, ISSN 0040-1706
Éditeur:
American Statistical Association
DOI:
10.48550/arxiv.2206.13470
Auteurs:
Jamal Raiyn; Galia Weidl
Publié dans:
MDPI - Smart Cities journal, Numéro MDPI, in Smart Cities journal, 7(1), 460-474, 2024, ISSN 2624-6511
Éditeur:
MDPI
DOI:
10.3390/SMARTCITIES7010018
Auteurs:
Samuele Lo Piano, Andrea Saltelli
Publié dans:
Energy Research & Social Science, Numéro 127, 2026, ISSN 2214-6296
Éditeur:
Elsevier BV
DOI:
10.1016/J.ERSS.2025.104296
Auteurs:
Monica Di Fiore, Marta Kuc-Czarnecka, Samuele Lo Piano, Arnald Puy, Andrea Saltelli
Publié dans:
Minerva, Numéro 61, 2023, ISSN 0026-4695
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/S11024-022-09481-W
Auteurs:
Samuele Lo Piano, Máté János Lőrincz, Arnald Puy, Steve Pye, Andrea Saltelli, Stefán Thor Smith, Jeroen van der Sluijs
Publié dans:
Risk Analysis, Numéro 44, 2024, ISSN 0272-4332
Éditeur:
Wiley
DOI:
10.1111/RISA.14248
Auteurs:
Andrea Saltelli, Lieke A. Melsen, Arnald Puy
Publié dans:
Minerva, 2025, ISSN 0026-4695
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/S11024-025-09581-3
Auteurs:
Jamal Raiyn, Galia Weidl
Publié dans:
Smart Cities, Numéro 7, 2025, ISSN 2624-6511
Éditeur:
MDPI AG
DOI:
10.3390/SMARTCITIES7010018
Auteurs:
Andrea Saltelli, Arnald Puy
Publié dans:
SSRN Electronic Journal, 2022, ISSN 1556-5068
Éditeur:
Elsevier BV
DOI:
10.2139/SSRN.4212453
Auteurs:
Arnald Puy, Pamphile T. Roy, Andrea Saltelli
Publié dans:
Technometrics, Numéro 66, 2024, ISSN 0040-1706
Éditeur:
Informa UK Limited
DOI:
10.1080/00401706.2024.2304341
Auteurs:
Ahlström, C., Kircher, K., Olstam, J., Johansson, F., & Andersson, A.
Publié dans:
Transportforum, 2025
Éditeur:
VTI
Auteurs:
Gerald Würsching, Tobias Mascetta, Sammy Breen, Matthias Althoff
Publié dans:
2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 2026
Éditeur:
IEEE
DOI:
10.1109/ITSC60802.2025.11423226
Auteurs:
Tianyu Tang, Tobias Zillmann, Johan Olstam, Christer Ahlström, Fredrik Johansson, Wouter Schakel, Klaus Bengler
Publié dans:
AHFE International, Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies, Numéro 200, 2026
Éditeur:
AHFE International
DOI:
10.54941/AHFE1007130
Auteurs:
Kranthi Kumar Talluri, Anders L. Madsen, Galia Weidl
Publié dans:
2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Éditeur:
IEEE
DOI:
10.1109/IV64158.2025.11097350
Auteurs:
Jamal Raiyn, Galia Weidl
Publié dans:
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Éditeur:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0011839600003479
Auteurs:
Tobias Mascetta, Edmond Irani Liu, Matthias Althoff
Publié dans:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Éditeur:
IEEE
DOI:
10.1109/IV55156.2024.10588548
Auteurs:
Chaar, Mohamad Mofeed, Galia Weidl, and Jamal Raiyn
Publié dans:
9th International Symposium on Transportation Data & Modelling (ISTDM2023), 2023
Éditeur:
ResearchGate
Auteurs:
Gerald Würsching, Tobias Mascetta, Yuanfei Lin, Matthias Althoff
Publié dans:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Éditeur:
IEEE
DOI:
10.1109/IV55156.2024.10588748
Auteurs:
Florian Finkeldei, Michael Wolf, Jan-Niklas Weghorn, Alexander Pretschner, Matthias Althoff
Publié dans:
2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 2026
Éditeur:
IEEE
DOI:
10.1109/ITSC60802.2025.11423597
Auteurs:
Jamal Raiyn, Galia Weidl
Publié dans:
2023 IEEE International Smart Cities Conference (ISC2), 2023
Éditeur:
IEEE
DOI:
10.1109/ISC257844.2023.10293463
Auteurs:
Tobias Mascetta, Kilian Northoff, Matthias Althoff
Publié dans:
2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Éditeur:
IEEE
DOI:
10.1109/IV64158.2025.11097682
Auteurs:
Müller, M. and Finkeldei, F. and Krasowski, H. and Althoff, M.
Éditeur:
arXive
Auteurs:
Christopher Stang, Julian Hay, Klaus Bogenberger, Galia Weidl
Publié dans:
2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Éditeur:
IEEE
DOI:
10.1109/IV64158.2025.11097453
Auteurs:
Weidl, G., Berres, S. and Raiyn, J.,
Publié dans:
International Symposium on Transportation Data & Modelling (ISTDM2023), 2023
Éditeur:
ResearchGate
Auteurs:
Ahlström, C., Kircher, K., Johansson, F., Andersson, A., & Olstam, J
Publié dans:
Road Safety on Five Continents – RS5C , 2025
Éditeur:
VTI
Auteurs:
Kircher, K., Ahlström, C., Andersson, A., Johansson, F., & Olstam, J. (2025
Publié dans:
Road Safety on Five Continents – RS5C , 2025
Éditeur:
VTI
Auteurs:
Florian Finkeldei, Matthias Althoff
Publié dans:
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024
Éditeur:
IEEE
DOI:
10.1109/ITSC57777.2023.10422092
Auteurs:
Wouter Schakel, Victor Knoop, Mehdi Keyvan-Ekbatani, Hans van Lint
Publié dans:
2023, ISSN 2662-9992
Éditeur:
MDPI AG
DOI:
10.20944/PREPRINTS202305.0193.V1
Auteurs:
Papadoulis, A.
Publié dans:
2023
Éditeur:
Aimsum
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