Background The i4Driving project aims to extend current state-of-the-art microscopic traffic simulation tools to enable assessment of traffic safety by adding a cognitive layer on top of the traditional behavioural models. Added cognitive layers require calibration and furthermore, since the added cognitive layer and the added mechanisms are mainly based on human factors theories, they …
A Turing-inspired test of the i4Driving driver models in driving simulators The i4Driving project has built a modular simulation library that captures the complexity of road traffic and the uncertainties of human behaviour and driving scenarios. The aim is to help stakeholders develop, test and validate automated driving systems that can operate safely in mixed …
INNO8 – Turing inspired test of the i4Driving models using driving simulators Read More »
By Tobias Mascetta, Florian Finkeldei, Matthias Althoff i4Driving Project Overview i4Driving (Integrated 4D driver modelling under uncertainty) is an EU-funded project within the EU-horizon funding program for research and innovation in the European Union. One of the horizon missions is finding key innovations for the topic cluster of climate, energy, and mobility. Within this cluster, one …
🚘 i4Driving is a EU Horizon Europe funded project coordinated by Panteia, which started in 2022. The overarching objective is to deliver a new library of credible models of heterogeneous human driver behaviors which provides a human road safety baseline for CCAM virtual assessment. Now, the project is reaching its final phase. Instead of a single closing event, there …
Join us for i4Driving lunch webinars each Friday in February and March! Read More »
We are delighted to present the i4Driving Summer School, the 6th edition in the prestigious MULTITUDE series, organized by the Digital Mobility Lab of the University of Naples Federico II.. From June 30 to July 2, 2025, University of Naples Federico II’s Villa Orlandi in Capri will be the setting for a unique learning experience—where academic and …
The i4Driving project aims to create a modular simulation library that captures the complexity of road traffic, managing uncertainties in human behaviours and driving scenarios. This approach will support stakeholders in developing, testing, and validating automated driving systems, ensuring safety in mixed traffic with Automated Vehicles (AVs). The i4Driving methodology paves the way for more robust and resilient CCAM systems, offering a proposition for AV licensing in the future.
To do so, it is necessary to develop a methodology for identifying users, use cases, and scenarios for the i4Driving project. The process involves interviews with relevant partners, representing various user groups such as Academia, Insurers, Test Centres, Regulators, Tier 1 suppliers, and more.
The development of Connected and Autonomous Vehicles (CAV) and Advanced Driver Assistance Systems (ADAS) is rapidly progressing. As these technologies become more prevalent on our roads, guaranteeing their safety becomes of critical importance. The complex and dynamic nature of CAVs and ADAS demands rigorous safety assessments to address potential risks and hazards. These assessments involve comprehensive testing, simulation and validation processes to evaluate their reliability, functionality and ability to interact with other road users and infrastructure seamlessly. i4Driving’s second innovation is to augment available models with a 4D cognitive layer, to make the most of unveiled patterns and existing behavioural and psychological theories, which is the focus of this blog post.
i4Driving’s first innovation, and the focus of this blog, is to develop state-of-the-art data mining techniques to unveil patterns and formulate plausible hypotheses from Naturalistic Driving Studies (NDS) and Driving Simulation Experiments (DSE) datarelated to human (and external) factors and driving behaviours, which will be used identify model requirements.
The i4Driving project, with Swiss Re among 17 partners, aims to set an industry standard for assessing autonomous vehicle safety over the next three years. Swiss Re’s involvement highlights the need for a new risk assessment paradigm, contributing to an insurance framework for public protection in AV accidents and paving the way for a tangible future with autonomous vehicles
Last week, the i4Driving team met in Naples for their second in-person meeting to discuss what scenarios need to be tested and modelled in the project.
