Sebastien Fraysse, Vice President & Head of Sales EMEA bei Mobilisights

Anonymous but effective: What anonymized mobility data can do for road safety

A guest article by Sebastien Fraysse, Vice President & Head of Sales EMEA at Mobilisights (translated from English), in the current issue of eMove360° Magazine in german language. Fraysee is a speaker at the eMove360° Europe 2025 – 9th International Conference & Exhibition for Electric & Autonomous Mobility.

Mobilisights, a business unit of the Stellantis Group, does not build vehicles, unlike the group’s well-known car brands. The company is focused on expanding its “Data as a Service” (DaaS) business and developing B2B products and services based on vehicle data that are designed to help make the mobility of the future safer, more efficient, and more sustainable.

Mobilisights currently has exclusive access to embedded telematics data from 14 iconic automotive brands and over 14 million connected vehicles by 2025.

Even today, important insights can be gained from this native telematics data, which are used in fleet management, for example. Mobilisights offers fleet owners and managers cloud-to-cloud access to vehicle data – without any retrofitting or physical installation in the respective vehicles. Mobilisights transfers the raw data to customers, who can then evaluate or further process it using their own analytics systems or through their partners. This enables fleet operators to monitor the condition of their vehicles (e.g., kilometers driven, maintenance requirements, or fuel consumption) in near real time. This reduces complexity in fleet management, lowers operating costs, and increases fleet efficiency.

Mobilisights plans to expand the use of telematics data in the near future. The focus is on anonymized datasets that enable deeper insights into traffic conditions and traffic infrastructure. Data can help further increase road safety, make traffic flow more efficient, and improve infrastructure planning for municipal, state, and federal roads in the long term.

To achieve this, Mobilisights uses data anonymization, which allows insights to be gained without sharing information about a specific person or vehicle. The protection of individual privacy is thus guaranteed at all times – even with large amounts of data.

What does data anonymization mean specifically?

The process aims to process information in such a way that no individual source can be identified. The data is anonymized in several steps: For example, the start and end of each trip, as well as the vehicle identification number (VIN), are removed. The remaining data is divided into short segments, each with randomly generated, untraceable identifiers, and processed only in aggregate form. Data can no longer be assigned to a vehicle owner or vehicle. The anonymization requirements here are particularly stringent and aim to make it impossible to trace data back to an individual; this is also referred to as “reverse engineering.” For Mobilisights, this means that privacy is guaranteed even when processing large amounts of data.

How anonymized vehicle data is revolutionizing mobility planning

Anonymized vehicle data offers new opportunities for transport authorities, urban planners, and engineering firms. They enable data-driven decisions that can improve infrastructure, sustainability, and safety in public spaces. Initial applications are already being developed in collaboration with cities and road authorities.

By analyzing near-real-time data, for example, congestion hotspots can be identified early on. This allows traffic flows to be optimized and predictive analyses to be created for forward-looking urban planning. Vehicle data analysis also provides valuable information in the area of ​​maintenance – for example, when the activation of stability control indicates slippery roads or sensors detect potholes. This information can automatically activate maintenance teams or road gritting services, helping to repair hazardous areas more quickly. In the long term, it is conceivable that such insights could be fed directly back into the vehicle – as an early warning system for drivers, alerting them to potential risks before they become apparent.

Read this and other articles on the topic of electromobility and autonomous driving in the current issue of eMove360° Magazine in german language. Download the free PDF or order the print version in our shop.