MAVEN (automated vehicle management), CARTRE (automated road transport coordination), INFRAMIX (mixed automated/conventional traffic), and C-MobILE (cooperative ITS deployment) all address vehicle automation.
TOMTOM DEVELOPMENT GERMANY GMBH
TomTom's German R&D unit providing commercial mapping data, traffic intelligence, and location services to European automated driving and smart mobility projects.
Their core work
TomTom Development Germany is the Leipzig-based R&D arm of TomTom, the global navigation and digital mapping company. Within EU projects, they contribute high-definition map data, real-time traffic intelligence, and location-based services to transport and mobility research. Their work spans automated driving, multimodal route planning, electromobility infrastructure, and big data integration for smart transport systems. They serve as a commercial data and technology provider that grounds academic research in production-grade mapping and navigation capabilities.
What they specialise in
SLIPO (big POI data integration), QROWD (big data integration), and Transforming Transport all rely on TomTom's core mapping and geospatial data expertise.
MyCorridor (Mobility as a Service corridor), NeMo (electromobility network), and Transforming Transport focus on cross-modal journey planning and logistics.
MAVEN addresses adaptive traffic light control and platoon organization, while INFRAMIX tackles infrastructure adaptation for mixed traffic flows.
Transforming Transport applies predictive analytics and digitalization to logistics, while QROWD focuses on human-aided big data integration.
How they've shifted over time
In the early phase (2016), TomTom's projects centered on vehicle-level automation — adaptive traffic lights, platoon organization, negotiation algorithms, and trajectory planning (MAVEN, CARTRE). By 2017, the focus shifted toward system-level mobility intelligence: multimodal transport, MaaS platforms, CO2 reduction through logistics optimization, and big data-driven predictive analytics (Transforming Transport, MyCorridor). This reflects a move from enabling individual automated vehicles to optimizing entire transport networks through data.
TomTom is moving from vehicle-level automation support toward becoming a data platform for system-wide mobility optimization, making them increasingly relevant for smart city and MaaS initiatives.
How they like to work
TomTom participates exclusively as a consortium partner, never as coordinator — consistent with a large company contributing commercial data assets and technology to research-driven projects. With 186 unique partners across 21 countries in just 9 projects, they operate in large consortia and rarely repeat partnerships, suggesting they are sought after as a data provider rather than building tight bilateral research relationships. Working with them means accessing production-grade mapping and traffic data within a well-resourced industrial partner.
Extensive European network spanning 186 unique partners across 21 countries, reflecting TomTom's role as a go-to commercial mapping and data partner in large transport and digital consortia. Their reach is pan-European with no strong geographic concentration.
What sets them apart
TomTom brings something few research organizations can: production-grade, continuously updated map data and real-time traffic feeds covering all of Europe. This makes them uniquely valuable for any project that needs to move from simulation to real-world validation. For consortium builders, partnering with TomTom means your transport or mobility project gets access to commercial-quality geospatial infrastructure rather than relying on open-source alternatives.
Highlights from their portfolio
- NeMoLargest funding share (EUR 457,837) — focused on electromobility hyper-networks, indicating significant TomTom investment in EV routing and charging infrastructure mapping.
- TTTransforming Transport was a flagship big data project with the richest keyword set, covering predictive analytics, CO2 reduction, and multimodal logistics at scale.
- MAVENMost technically detailed project involving adaptive traffic lights, platoon negotiation algorithms, and trajectory planning for automated vehicles.