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D51.1 - Safety and sustainability D51.1 - Safety and sustainability

This deliverable formulates measures to improve road safety based on the UDRIVE findings while keeping in mind that they cannot be generalised to all car drivers or all European countries. Rec-ommendations are clustered in regulation and enforcement measures, vehicle safety, awareness campaigns and training and road infrastructure design. Recommendations are made in the areas of seat belt use, speeding, reduction of critical situations, vulnerable road user safety, eco-driving promotion and secondary task reduction. The recommendations should be completed after new analyses on the UDRIVE data, which was not analysed completely. The workshops discussions at the end of the project highlighted several stakeholders' needs that could be addressed by new analyses.

D52.1 - The potential of naturalistic driving studies with simple Data Acquisition Systems (DAS) for monitoring driver behaviour D52.1 - The potential of naturalistic driving studies with simple Data Acquisition Systems (DAS) for monitoring driver behaviour

This deliverable concerns questions regarding the potential of simple and low-cost technologies for future Naturalistic Driving data collection in relation to the complex, tailor-made and expensive data acquisition devices that have been used in recent large scale naturalistic studies. A major strength of the elaborated DAS used in UDRIVE is its extensiveness and hence, its ability to address many research questions and provide a comprehensive view of the driving environment and circumstances. Although there is no real substitute to a car equipped with 7 cameras and ample data loggers and sensors, all integrated into a workable platform, given the rapid advancement of technology, a vast amount of interesting and relevant research questions can be addressed with much less sophisticated and costly systems.

D53.1 - Driver models and risk functions on safety and sustainability D53.1 - Driver models and risk functions on safety and sustainability

This deliverable investigates how Naturalistic Driving Data (NDD) can be used to improve existing driver models, particularly those related to safety and sustainability. The analysis builds on the specific case of driving in horizontal curves on rural and motorways roads. Single-vehicle crashes, often occurring on curves, account for approximately one-third of fatalities across Europe and the speed choice on curve approach has significant environmental implications. The results show that problematic steering by the UDRIVE participants could be related to curve radius: the tighter the curve, the higher was the incidence of high-amplitude steering input. There is a far higher risk for small-radius curves. The insight obtained can not only enhance driver-vehicle simulation models, but also suggests the development of new countermeasures to stimulate greater safety margins in curve driving. Suggested further work would be to investigate the correlation between the safety and eco-related.

D54.1 - Feasibility of commercial applications D54.1 - Feasibility of commercial applications

This deliverable addresses how NDD can be used for the development of driver support functions and driver coaching. It also outlines business models for continued and open access to UDRIVE data after the project. For function development, NDD can be used in combination with statistical crash data. NDD can also be used to provide the relevant data to develop, test and validate the behaviour models. For coaching programs, it is necessary to track reliable NDD to provide timely and effective feedback to the driver. For data access, survey respondents favour a one-stop European approach, sharing many different data sets. The main challenges for this are the costs to host the data, the financial model for access and privacy barriers.

D63.2 - Project identifiers, leaflet and website D63.2 - Project identifiers, leaflet and website

This deliverable compiles project identifiers, which aim at disseminating general information about UDRIVE through the use of a recognisable brand/visual identity and disseminating intermediate and final findings and results to stakeholders and scientific community. The activities are led by ERTICO, working closely with SWOV, and include: visual identity (logo, PowerPoint template, etc.), website, poster, leaflet and boilerplate PowerPoint presentation.