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Future Mobility Lab

User Behaviour

UR:BAN

Urban Space: User oriented assistance systems and network management

UR:BAN is a cooperative project within the 3rd Traffic Research Programme of the Federal Government of Germany and aims to increase safety in urban traffic by developing new driver assistance and traffic management systems. Additionally the deployment of intelligent infrastructure and its networking with intelligent vehicles is intended to optimize traffic efficiency while simultaneously reducing emissions.

The cooperative project is formed by the three pillars Cognitive Assistance, Networked Traffic Systems and Human Factors in Traffic. ika participates in Human Factors in Traffic, which focuses on the human individual as user of future driver assistance and information systems. Novel assistance functions provide the driver with supporting information in complex traffic situations, but benefits arise only if the information flow is intelligently filtered to avoid overloading the driver. To this end, support is adapted to the driver’s current state and activation by detection of overburdened or inattentive drivers. By incorporating adaptive support into the design of vehicle controls and displays, the driver receives information much earlier and is motivated to anticipate traffic situations rather than simply react to them. This anticipatory approach is the key to a safer, more efficient, and less taxing urban driving experience.

In the subprojects Urban Driving and Simulation of the Human Factors in Traffic column, ika addresses the experimental investigation of vehicle-pedestrian-interactions with the aim to generate an interaction model to be used in simulation and the controlled testfield. To that end a field test is carried out acquiring data for the model implementation. Based on the obtained findings a pedestrian dummy for hazardfree testing of interaction scenarios is built up.

The second research field of ika within UR:BAN is part of the subproject Controllability. Here the focus is on investigation of driver performance in events of system failures and use cases. By means of generation and implementation of a driver performance data base first controllability estimations of new system concepts in an early stage of development shall be assessed. In addition, the data base serves to identify existing research demands and to address these by specific experimental investigations in a controlled test field.

The UR:BAN project has a scheduled runtime of 48 months and started in April 2012. The total cost of the project sum up to approximately 80 million euro, of which 40 million are funded by the Federal Ministry of Economics and Technology.

30 partners from automotive and supplier industry, electronic, communication and software companies, universities as well as research institutes and cities participate in the project.

News

Contact

Dr.-Ing. Adrian Zlocki
Institut für Kraftfahrzeuge (ika)
+49 241 80 25616
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Project duration

04/2012 – 04/2016

Project partner

Adam Opel, AUDI, BMW, Bosch, Bundesanstalt für Straßenwesen, Continental, Daimler, Deutsches Zentrum für Luft- und Raumfahrt e.V., Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO, GEVAS, Hochschule für Technik und Wirtschaft des Saarlandes, ifak Magdeburg e.V., MAN, PTV Group, ika, Landeshauptstadt Düsseldorf, Stadt Kassel, TU Braunschweig, TU Chemnitz, TU München, TomTom Development Germany GmbH, TRANSVER GmbH, Universität der Bundeswehr München, die Universitäten Duisburg-Essen, Kassel und Würzburg und die Volkswagen AG

Project website

www.urban-online.org/de/urban

Supported by

[Logo: BMWI]