GEVAS software is a partner in the research project UR:BAN by German Federal Ministry of Economics and Technology. UR:BAN is about linking urban infrastructure and “intelligent” vehicles. This means: the traffic infrastructure provides information that allows an efficient and eco-friendly manner of driving. Vice versa, municipal traffic operators can use the return data flow from the vehicles to the traffic management center for quality control, like for monitoring green waves.
Being experts in intelligent urban traffic management, we are project managers for the project area Cooperative Infrastructure. So we explore the question of how a traffic management system can look like so that a city’s traffic center and the vehicles can communicate so that all traffic participants will benefit. Therefore we will focus on the preconditions of such a communication flow and create a guideline.
Düsseldorf and its traffic management system by GEVAS software is the test field for all functionalities that will be developed in UR:BAN. Further test facilities will be in the cities of Kassel and Braunschweig. The in-car functionalities that are based on the cooperative infrastructure can be divided into three different sub-projects: Regional Network, Urban Roads and Smart Intersection. GEVAS software participates in the first two sub-projects.
In the Regional Network, a routing system will be developed under the direction of Daimler that considers the power engine of the vehicles. The routes provided in the navigation systems will be different for cars with a combustion engine or an electric motor, depending on the most efficient manner of driving for each case.
GEVAS software extends the strategy management in Düsseldorf so that it will work as a multi-criterial strategy management with environmentally sensitive traffic control. This new system will use environmental protection aspects – like a reduction of air pollution – as criteria for the traffic control strategies.
Urban Roads, lead by BMW, is about foresighted driving over shorter distances. The infrastructure will provide a traffic signal preview for the driver assistance systems, so that the drivers know how to approach a signalized intersection in an efficient way. An up-to-date forecast of signalization will integrate factors such as tailbacks and public transport prioritization. The data flow back from the vehicles will be the basis for quality assurance of urban signal control.
Research Period: 2012 – 2015
Project partners: BMW, Continental, Daimler, Deutsches Zentrum für Luft- und Raumfahrt, GEVAS software, Hochschule für Technik und Wirtschaft des Saarlandes, ifak Magdeburg, Landeshauptstadt Düsseldorf, MAN, Opel, PTV, Stadt Kassel, Technische Universität München, Technische Universität Braunschweig, TomTom, TRANSVER, Universität Duisburg Essen, Universität Kassel, Volkswagen
Supported by Federal Ministry of Economics and Technology