UR:BAN - Urban Area: User-Friendly Assistent Systems and Transport Network Management

The main aim of “UR:BAN” is to optimize the efficiency of traffic in urban areas while reducing the emissions. This aim will be achieved through the development of intelligent infrastructure and its networking with intelligent vehicles with special consideration of new propulsion concepts. In addition, applications for intelligent guidance of traffic taking into account both, current and predicted demand and ecological optimization potentials are developed during the project. Particular attention is put on a standardized production-oriented design of system architecture with online data supply to ensure appropriate direct options for transition into productive operation after the project.

The major tasks of the Institute of Traffic Engineering and Logistics are:

  • Prediction of switching time points of traffic actuated signal systems
  • Development of  a quality management for coordinated traffic lights
  • Development of smartphoneapplications (green wave assistent)

Duration: 01.01.2012 - 31.12.2015
Supported by: Federal Ministry of Economics and Technology
Project Number: 19 P 11007 R
Partners: Bayerische Motorenwerke AG; Continental Automotiv GmbH; Daimler AG; Deutsche Zentrum für Luft- und Raumfahrt e.V.; GEVAS software GmbH; Hochschule für Technik und Wirtschaft des Saarlandes - Forschungsgruppe Verkehrstelematik; ifak e. V. Magdeburg; MAN Nutzfahrzeuge AG; Adam Opel AG; PTV AG; Stadtverwaltung Düsseldorf, Amt für Verkehrsmanagement; Stadt Kassel, Strassenverkehrs- u. Tiefbauamt; TomTom Development Germany GmbH; TRANSVER GmbH; Technische Universität Braunschweig - Institut für Verkehr und Stadtbauwesen; Technische Universität München - Lehrstuhl für Verkehrstechnik; Universität Duisburg-Essen - Arbeitsgruppe Physik von Transport und Verkehr; Volkswagen AG
Hompage: www.urban-online.org