SciTransfer
Organization

MAP TRAFFIC MANAGEMENT BV

Dutch SME specializing in traffic management systems for connected and automated vehicles, from adaptive signals to mobility data analytics.

Technology SMEtransportNLSMENo active H2020 projects
H2020 projects
5
As coordinator
0
Total EC funding
€1.0M
Unique partners
68
What they do

Their core work

MAP Traffic Management is a Dutch SME specializing in intelligent traffic management systems and connected vehicle technologies. They develop solutions for managing automated vehicles within existing traffic networks, including adaptive traffic light control, vehicle platooning, and cooperative ITS (C-ITS) deployment. Their work bridges the gap between autonomous driving technology and real-world road infrastructure, ensuring that connected and automated vehicles integrate smoothly into urban and corridor traffic flows.

Core expertise

What they specialise in

Connected and automated vehicle traffic managementprimary
3 projects

MAVEN, TransAID, and C-MobILE all focus on managing automated vehicles and cooperative ITS within existing traffic infrastructure.

New mobility data analytics and toolkitsemerging
1 project

nuMIDAS (2021-2022) developed methods, tools, and data solutions for understanding new mobility trends.

Transition zone management for mixed automation levelssecondary
1 project

TransAID (their largest funded project at EUR 316K) specifically addressed infrastructure-assisted driving in transition areas where automation levels change.

Evolution & trajectory

How they've shifted over time

Early focus
Automated vehicle control systems
Recent focus
Mobility data and analytics

In their early H2020 work (2016-2019), MAPTM focused heavily on the technical mechanics of vehicle automation — adaptive traffic lights, platoon organization, negotiation algorithms, and trajectory planning. By 2021, their focus shifted toward data-driven mobility analysis: understanding trends, building toolkits, and developing broader solution frameworks. This suggests a maturation from building specific automation components to analyzing and managing the wider mobility ecosystem those components create.

MAPTM is moving from hands-on vehicle-infrastructure automation toward data intelligence and decision-support tools for the broader mobility transition — making them increasingly relevant for smart city and transport policy projects.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European12 countries collaborated

MAPTM has always participated as a partner, never coordinating — they contribute specialist expertise to larger consortia rather than leading them. With 68 unique partners across 12 countries in just 5 projects, they operate in large European consortia (averaging ~14 partners per project). This pattern suggests they are a trusted technical contributor that larger coordinators bring in for traffic management expertise.

With 68 unique consortium partners across 12 countries from just 5 projects, MAPTM has built a wide European network in the connected mobility space. Their Netherlands base and transport focus likely connects them strongly to Western European automotive and infrastructure research clusters.

Why partner with them

What sets them apart

MAPTM sits at a specific intersection that few SMEs occupy: the traffic management layer between autonomous vehicles and city infrastructure. While many companies work on either the vehicle side or the city planning side, MAPTM specializes in making the two talk to each other. Their combination of hands-on automation experience (platooning, adaptive signals) with newer data analytics capability makes them a practical partner for any project dealing with the real-world deployment of connected mobility.

Notable projects

Highlights from their portfolio

  • TransAID
    Largest funded project (EUR 316K) tackling the critical unsolved problem of transition areas where vehicles shift between manual and automated driving.
  • MAVEN
    Their earliest project and most technically specific — directly developing adaptive traffic lights and platoon negotiation algorithms for automated vehicles.
  • nuMIDAS
    Most recent project (2021-2022) marking their pivot toward mobility data analytics and toolkit development, signaling their future direction.
Cross-sector capabilities
Smart city infrastructure and urban planningAutomotive and autonomous driving systemsData analytics and decision-support toolsEnvironmental impact of transport (emissions reduction through traffic optimization)
Analysis note: Profile based on 5 projects with moderate keyword data. Several projects (MyCorridor, C-MobILE, TransAID) lack specific keywords, so expertise mapping relies partly on project titles and descriptions. No website available for verification of current commercial activities.