Mercedes turns car data into road infrastructure insight
Anonymised sensor data from connected Mercedes-Benz vehicles could help public authorities gain a more up-to-date view of road conditions, traffic signs and infrastructure risks.
Mercedes-Benz
Mercedes-Benz is turning connected cars into mobile infrastructure sensors. Anonymised vehicle data from southern Germany and the Netherlands could help authorities detect road damage, update traffic sign records, identify hazards sooner and plan maintenance more precisely.
Mercedes-Benz is making anonymised vehicle
data available for infrastructure projects in order to digitally record
road conditions and traffic signs. Two current initiatives in
Baden-Württemberg, the south-western German state that is home to
Mercedes-Benz, Porsche and a dense automotive supplier network, and in the
Netherlands show how vehicle data can help authorities identify damage earlier
and plan measures more precisely.
Millions of road users encounter potholes, damaged surfaces
and inconsistent signage every day. Mercedes-Benz is using sensor data from
connected vehicles to address this issue. According to the company, the
information is processed exclusively in anonymised and aggregated form, so no
conclusions can be drawn about individual vehicles or drivers.
Modern vehicles already collect a
wide range of information about their surroundings and the condition of the
road. This data can be used to provide a more up-to-date view of
transport infrastructure and make potential problem areas visible earlier. In
this context, connected vehicles increasingly become
mobile sensor platforms.
How is Mercedes’ home region using the data?
One specific example is the digital traffic sign register in
Baden-Württemberg. The state’s Ministry of Transport uses anonymised vehicle
data from Mercedes-Benz to build a digital baseline for recording and managing
traffic signs.
The aim is to create a standardised process for
systematically recording, maintaining and evaluating official traffic signs
across different road categories. By using vehicle data, the state wants to
reduce time-consuming site visits and manual recording work.
The traffic sign register is being made available as an
open-source solution with standardised interfaces. This should also make it
usable for research projects, mobility services and applications in intelligent
traffic management. The database could also support software-enabled assistance
systems that depend on reliable road information.
Why is the Netherlands continuing the cooperation?
The technology is also being used in the Netherlands. As
part of the Road Monitor programme, known as ROMO, Mercedes-Benz Connectivity
Services has been selected as an innovation partner for the next project phase
from 2026 to 2029.
Together with the Dutch Ministry of Infrastructure and Water
Management and the National Road Traffic Data Portal, NDW, the project aims to
identify infrastructure damage, accident hotspots and critical road surfaces.
The findings will feed into maintenance planning and winter service operations.
The road network covered comprises around 130,000 kilometres.
In this type of application, vehicle and weather data can
help authorities detect risks earlier and prioritise measures more accurately.
How does Mercedes use anonymised vehicle signals?
For Mercedes-Benz, the projects are an example of how
vehicle data can be used beyond the individual vehicle. “The projects show
impressively how anonymised vehicle signals can make a concrete contribution to
road safety. In exchange with public institutions and in international
programmes such as Road Monitor, we are creating an important building block
for planning and operating road infrastructure more intelligently, safely and
efficiently,” says Michael Drzymala, CEO of Mercedes-Benz Connectivity Services.
The examples from Germany and the Netherlands show how
connected vehicles are increasingly becoming data sources for infrastructure
planning. For authorities, this could create an additional basis for
prioritising maintenance work based on data and using resources more
effectively.
At the same time, such projects show why real-world data can support safer mobility only if
privacy, aggregation and data governance are clearly defined.