UR:BAN

Urbaner Raum: Benutzergerechte Assistenzsysteme und Netzmanagement

• Regionales Netz RN (Regional Network): Expansion of traffic management systems to include environmental aspects and to consider different vehicle propulsion concepts (e.g. diesel, hybrid and electric powered vehicles) both in the development of urban policies and the route selection of vehicles.
   
• Urbane Straße US (Urban Street): Basic components for the provision of comprehensive data and information from the infrastructure to the vehicle are developed. The focus is on providing forecasts for the traffic light changing times for traffic lights that are located in urban environments.
   
• Smarte Kreuzung SK (Smart Intersections): The focus of this sub-project is to develop innovative vehicle and traffic control technologies that will facilitate efficient and environmentally traffic at urban intersections. The cooperative exchange of information at local traffic signals by vehicles, public transportation and emergency vehicles as well as by bicyclists and pedestrians to support a traffic and energy optimized transport system is the main focus of this sub-project.

Mensch im Verkehr (Human Being in Transport)

• Urbanes Fahren (UF): This sub-project acts as a common platform between the sub-projects within MV and the UR:BAN project pillars KA and VV. The purpose of UF is to standardize and specify the assistance scenarios as well as internal project data standards.

Kognitive Assistenz KA (Cognitive Assistance)

In this project pillar, assistance systems for the urban environment are developed. Four key aspects will be considered in the following sub-projects: Umgebungserfassung und Umfeldmodellierung UEM (Surrounding Detection and Environmental Modelling), Schutz von schwächeren Verkehrsteilnehmern SVT (Protection of Vulnerable Road Users), Kollisionsvermeidung durch Ausweichen und Bremsen KAB (Collisions Prevention by Evasion and Braking) and Sichere Quer- und Längsführung in der Stadt SQL (Safe Lateral and Longitudinal Guidance in the City).

Tasks of the Chair

• Data collection, analysis and modeling of the movement of bicyclists as well as the interaction between vehicle drivers, bicyclists and other vulnerable road users.
   
• Centralized optimization of traffic signal control with consideration of heavy duty vehicle (truck) platoons. The research is carried out within the framework of green wave optimization.
   
• Assessment of the effectiveness of the developed systems/applications concerning traffic efficiency and environmental impact. Calculation is based on a given location (Dusseldorf) and is calculated using a simulation based extrapolation. 
   
• System architecture for cooperative systems in urban environements with consideration of ITS framework architechture and data format.