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.

Until 2017, it is planned to setup 600 CCS rapid-charging stations which will load batteries up to 80 percent of their maximum capacity within less than thirty minutes.

Current radio systems are optimized with regard to capacity and range. However, certain applications of wireless systems require fast and reliable communication over short distances. The challenge of these systems is to manage with a minimum time delay (latency) while at the same time being very reliable and insensitive to interference.

PARallele Implementierungs-Strategien für das Hochautomatisierte Fahren

Piloting Automated Driving on European Roads

KONVOI focused on the topic platoons of heavy trucks, in which vehicles follow a lead truck fully automatically with small gaps to improve aerodynamics.

Intelligence for efficiently electrified and automated driving through sensor networking

The project aims at the development of a reliable and high-precise Galileo navigation receiver for railway applications. Application-specific problems, e. g. signal shadowing in railway specific receiving conditions, are analyzed, possible solutions are developed and implemented.

Current radio systems are optimized with regard to capacity and range. However, certain applications of wireless systems require fast and reliable communication over short distances. The challenge of these systems is to manage with a minimum time delay (latency) while at the same time being very reliable and insensitive to interference.

The objective of CiTi is to establish methods and infrastructure at RWTH Aachen University which allow to reliably assess the effectiveness of innovative technologies in the field of connected mobility. Thereby it forms the basis for searching solutions to complex, multi-faceted scientific problems.

Automated vehicles can contribute towards enhanced traffic safety by assisting drivers and minimising human errors. They are also expected to make traffic flow more efficiently, ensuring optimal driving conditions with minimal speed variations in the traffic flow.

Kooperative Mobilität im digitalen Testfeld Düsseldorf