@CITY - Automated vehicles and intelligent traffic in the city
@CITY generates a new, automated driving experience for safe, stress-free, efficient and comfortable driving in the city. Automated vehicles and intelligent traffic are the key elements of urban transport of the future. Automated vehicles offer the driver the highest possible level of support in all situations. The interaction between the vehicle and the driver, but also between the vehicle and pedestrians or cyclists, e.g. at intersections and roundabouts contributes to improved understanding. @CITY automates driving in the city and thus generates added value not only for the driver, but for other road users.
The project @CITY aims for powerful and robust algorithms for understanding situations, for the design of automation as well as for the optimal involvement of the driver. Based on this, new automated driving functions are designed for the city, which offer the driver the highest possible level of support even in the complex urban environment with its high information density and very short reaction times - also in cooperation with the surrounding road users. The presentation of these automated driving functions is done in pilot applications, e.g. at dynamic bottlenecks caused by buses at bus stops or by turning bicyclists.
Tasks of the Chair
Within @CITY, the Chair of Traffic Engineering and Control at the Technical University of Munich focus on the analysis of interactions between autonomous vehicles and bicyclists. For this purpose, a bicycle simulator is designed, used and further developed. Based on the outcomes of the bicycle simulator studies, new models are developed for the representation and prediction of bicyclists' behavior, as the various turning maneuvers at road intersections in connection with the maneuvers of other traffic participants. Another application of the bicycle simulator is testing the functions, which are developed within the project, in interconnected car and bicycle simulators.
|Keywords||Automated vehicles, interaction to vulnerable road users, driving behavior, bicycle simulator studies|
|Funding||Federal Ministry of Economoc Affairs and Energy|
Continental Safety Engineering International GmbH
Continental Teves AG & Co. oHG
Delphi Deutschland GmbH
Robert Bosch GmbH
Technische Universität München
TRW Automotive GmbH
Valeo Schalter und Sensoren GmbH
3D Mapping Solutions GmbH
|Duration||September 2017 to August 2021|
|Contact||Dr.rer.nat. Andreas Keler, Dr.-Ing. Matthias Spangler, Dr.-Ing. Heather Kaths|