Vehicle Connectivity

Cars as Road Scouts

Mercedes turns car data into road infrastructure insight

2 min
Black Mercedes-Benz sedan driving through a tunnel with blue illuminated rings on the road.
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 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.