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
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.
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
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
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
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
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.
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
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
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
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
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
Veröffentlichungen
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:
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:
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:
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
Suche nach OpenAIRE-Daten ...
Bei der Suche nach OpenAIRE-Daten ist ein Fehler aufgetreten
Es liegen keine Ergebnisse vor