German ICMIF member HUK-COBURG and the German Initiative for Safe Roads (Initiative für sichere Straßen GmbH) have announced the signing of a cooperation agreement. From now on, HUK-COBURG will supply anonymised driving data from its telematics tariff to the Road Safety Initiative in Bonn. The aim is to use data analysis to identify potential danger spots on roads at an early stage and to warn road users in order to prevent accidents as far as possible.
Currently, more than 500,000 customers use HUK-COBURG’s telematics tariff. The recorded driving data is used to calculate a discount on the premium in car insurance. In aggregated and anonymised form, this data that is collected, for example on braking behaviour, also provides information on danger spots in traffic. From now on, these findings will be incorporated into a map that can be downloaded from the danger spots website www.gefahrenstellen.de which means road users can find out about places that are particularly prone to accidents.
“After two years of successful cooperation in the context of research projects, we are pleased to expand the cooperation,” says Dr Jörg Rheinländer, member of the board of HUK-COBURG. “This is where the benefits of big data become apparent: everyone who uses our telematics tariff can help to make traffic a little safer.”
In addition, the initiative seeks to inform the responsible authorities on the basis of these findings in order to take structural or other measures to eliminate hazards if necessary.
“The telematics data closes an important gap in the detection of danger spots, because it helps to detect problems at an early stage before people are harmed,” explains Arno Wolter, Managing Director of the Initiative for Safe Roads GmbH.
“Since our founding, we have been committed to greater safety on the road in order to get a step closer to Vision Zero,” says Wolter, explaining the company’s commitment. “The telematics data is transmitted anonymously in compliance with data protection regulations. It is therefore not possible to draw conclusions about individuals,” he concluded.
