Deliverables
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 updateUpdate/revised dissemination and exploitation plan, including communication activities). Linked to task 7.1
Critical review of state-of-the-art techniques to model drivers’ heterogeneityA 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 2Second update of the research data management plan. Linked to task 8.4
Experimental setup for the driving simulator experimentsA 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 datasetsA 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 11
Project Quality HandbookDevelop 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 83
Research Data Management Plan 1Develop the Data Management Plan by M6 and revise in M18 and M36 which follows the FAIR data principles making project dataresearch outputs findable accessible interoperable and reusable Linked to task 84
Causal relationships between human/external factors and human driving behaviors: modelling requirements & framework of testable hypothesesA 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 glossaryDevelop 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 82
i4Driving Framework design & modeling and coding design principlesA 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 situationsA 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 12
Implementation framework of the scenario-based evaluation workflowThis 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 HandbookDevelop an internal handbook to establish and define clear rules procedures for communication contractual financial and administrative management aspects Linked to taska 81 and 82
Methodology and results: relevant use cases and safety-critical scenariosThis 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 experimentsA 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
Dissemination and exploitation plan (including communication activities)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 monitortracker 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 71
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 31
Website and social networks profilesProject website and social networks profiles designed and published online Linked to task 72
Software for automatically increasing the criticality of scenariosOpen-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 techniquesThe software employed and adapted for the data mining research will be published on an open-source GitHub repository. Linked to task 1.2
Validated ethics assessment plan and approval from Ethics committeeA 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 51
Publications
Author(s):
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.
Published in:
Elsevier, in Environmental Modelling & Software 174, Issue Elsevier, in Environmental Modelling & Software 174, 2024, ISSN 1873-6726
Publisher:
Elsevier
DOI:
10.1016/j.envsoft.2024.105977
Author(s):
Saltelli, A. and Puy, A.
Published in:
Humanities and Social Sciences Communications, Issue Elsevier, in journal of Humanities and Social Sciences Communications, 10(1), pp.1-8., 2023, ISSN 2662-9992
Publisher:
Elsevier
DOI:
10.2139/ssrn.4212453
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