Improving safety and efficiency on the road with UR:BAN

Research initiative presents new traffic technologies for cities

The partners in the UR:BAN research initiative set out to make driving in tomorrow’s cities safer and more efficient. At the initiative’s upcoming final presentation, demonstration vehicles will show how intelligent and cooperative systems could help make driving in the city even safer, more economical and environmentally more sustainable.

Drivers have to be ready to react quickly to the unexpected, especially in busy traffic. For Fraunhofer IAO project manager Frederik Diederichs, the same principle applies to driver assistance systems: “In the future, assistance systems will have to be aware of what drivers are about to do before they actually do it. To help us develop more intuitive systems, we expanded Fraunhofer IAO’s Vehicle Interaction Lab especially for UR:BAN. We also developed an algorithm for recognizing intentions,” says Diederichs. This new algorithm was installed in a BMW research vehicle and will also be on display when the initiative presents its project results.

Event motto: Making driving through the city of the future safe, efficient and stress-free

As four years of research activities draw to a close, the results will be showcased as part of an official final presentation to be held in Düsseldorf on October 7 and 8, 2015. This event will give some 300 guests the chance to spend two days getting acquainted with the latest technologies and ingenious systems and to speak directly with the experts. In addition to talks and exhibitions, the event will offer a wide range of driving demonstrations to showcase the new technologies. Researchers from each of UR:BAN’s three project areas will present a vast array of exhibits as well as some 50 vehicle demonstrators.

Members of the Cognitive Assistance project team will host live demonstrations of new systems designed to help in everyday city traffic situations, such as oncoming traffic at bottlenecks, changing lanes in tight spaces, and using emergency measures to avoid collisions with pedestrians and cyclists. The complexity of city driving calls for reliable recognition of all surrounding road users. And for the first time, this also includes recognition of likely pedestrian behavior.

One of the highlights of the Networked Traffic System project presentation will be the traffic light assistance function for use under real traffic conditions. Here, crossing an intersection becomes either a partly automated process or one in which the driver is given recommendations for how best to cross. Numerous test vehicles will bring the various functions to life – from the intersection pilot to the phased traffic lights assistant and the delay assistant.

Work in the Human Factors in Traffic project area focused on the various ways people interact with city traffic. New methods and systems were developed to research this aspect of human behavior. Based on drivers’ head movements, for instance, a system can detect early on what they are likely to do next, thereby helping them master the challenges of city driving.

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