Powered by OpenAIRE graph
Found an issue? Give us feedback

VERKEHRSUNFALLFORSCHUNG AN DER TU DRESDEN GMBH

Country: Germany

VERKEHRSUNFALLFORSCHUNG AN DER TU DRESDEN GMBH

3 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101006687
    Overall Budget: 2,203,940 EURFunder Contribution: 1,923,660 EUR

    The objectives of LEONARDO are: 1) to develop a new microvehicle based on the smart fusion of the concepts of monowheel and scooter. The monowheel and the scooter have the best characteristics to be used as a means of daily transport and to fully exploit the intermodality. The new microvehicle will take the best features of these two vehicles and eliminate the disadvantages, obtaining a silent, clean, energy efficient and safe vehicle, as well as attractive and affordable to the public so that the barriers for adopting it are minimized. The development includes a) the consolidation of already outlined conpects, through analysis of functionality and comparison with existing vehicles, on the basis of an extensive analysis of user's needs and safety and regulamentary aspects b) structural and electrical / electronic design c) in-house testing 2) to do an extensive demonstration and re-design activity. The vehicle will be tested in a real environment in 5 European cities: Rome, Palermo, Eilat and 2 others that will be identified with a tender. In these demonstration tests, a fleet of vehicle will be tested for free by hundreds of users, on a rotating basis. Each vehicle can be used in stand alone mode or in battery sharing mode, through a system already developed by UNIFI, made available for the project. Operating data will be automatically collected through a platform and users will be asked to give feedback weekly. The pilot in Rome and Palermo will start with 50 vehicles and will be used for a revision and re-design process, to arrive up to a TRL 7. Afterwards, the other pilots will start, in sequence, for 3 months in each city, in which 100 vehicles will be tested. These tests will be used to refine the vehicle up to the TRL8-9 and to do a physical demonstration of the technical and economic feasibility. During the pilots, pre-orders will be accepted. A detailed exploitation strategy and a draft business plan for the vehicle will be draft with the data collected.

    more_vert
  • Funder: European Commission Project Code: 723430
    Overall Budget: 7,136,980 EURFunder Contribution: 7,136,980 EUR

    Navigating traffic is mostly habitual; Our behaviour neither requires a lot of elaborate conscious decision-making, nor is it purely automatic/reflexive. However, most current measures intended to get traffic users to behave safer appeal to our deliberate self (awareness campaigns, speed signs), act autonomously on our behalf (autonomous braking, traffic lights), or seek to “assist” us by presenting feedback/information (Forward Collision Warning, roadside speed displays). However, the latter category of measures is often not effective as users either switch them off or do not act on the information provided. MeBeSafe is looking to directly change our habitual traffic behaviour using “nudging”. This concept from behavioural economics relates to subconsciously stimulating us to make a desired choice, without forcing us if we want to go a different way. Nudging measures are less invasive, give the user choice (but predispose him to make a desired choice) and can be provided earlier in the chain of events leading to a critical situation. We plan to implement nudging feedback both for in-vehicle Advanced Driver Assistance Systems (ADAS, existing or close-to-market), and through roadside infrastructure (e.g. measures directed at cyclists). Currently no roadside equivalent of ADAS exists, and we will prototype and demonstrate one version. We will prospectively analyse the effectiveness of suggested nudging measures first by modelling, followed by controlled experiments. We will furthermore conduct a field trial to evaluate the long-term learning effect for one proposed nudging measure. Our consortium includes automotive OEMs and suppliers, road infrastructure and fleet owners, SME’s involved in traffic data analysis, and leading organisations in traffic safety research and modelling.

    more_vert
  • Funder: European Commission Project Code: 101146542
    Overall Budget: 18,833,200 EURFunder Contribution: 18,636,700 EUR

    SYNERGIES confronts pivotal challenges within the CCAM community, such as the absence of interoperable scenario databases, time-consuming and expensive development cycles, and regulatory ambiguities. It achieves this by implementing the Safety Assurance Framework developed in HEADSTART and SUNRISE. SYNERGIES furnishes stakeholders with interoperable, federated scenario databases, incorporating data from Safety Pool Scenario Database™, ADScene, StreetWise, VV Methods, L3Pilot, Hi-Drive, and more. This facilitates standardized processes, streamlines development cycles, and ensures regulatory compliance. To accomplish this, SYNERGIES will culminate in a European platform designed to enhance the development, training, virtual testing, and validation of CCAM systems. The SYNERGIES Platform comprises a Scenario Dataspace, aligned with Europe's approach to data sharing and competitiveness, and a Marketplace, ensuring continual updates and Dataspace scalability. Furthermore, SYNERGIES encourages the inclusion of new initiatives into the scenario dataspace by offering the requisite tools and guidance, from data processing and scenario identification to scenario database governance. This presents a unique opportunity to amplify investments in research and development, consolidating Europe's leadership in CCAM development, all while prioritizing safety and data protection.

    more_vert

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

Content report
No reports available
Funder report
No option selected
arrow_drop_down

Do you wish to download a CSV file? Note that this process may take a while.

There was an error in csv downloading. Please try again later.