DAMbvMobility Intelligence Platform

Intelligent Mobility. Measured in the Real World.

One platform for autonomous vehicle operations, infrastructure validation and aerial traffic-behaviour intelligence.

Network overview Shuttles 3 online Drone studies 3 Demo data
Swept-path study Overtaking study Shoulder study
Shuttle route Drone observation zone Illustration

One platform. Two systems. One picture of the road network.

Autonomous vehicles and drones both measure what happens on real roads. The platform brings their data together in one map, so engineers and operators decide on evidence.

System 1

Autonomous Mobility

Plan, monitor, validate and analyse autonomous shuttle operations.

  • Live vehicle telemetry
  • Route and stop management
  • Scenario validation
  • Geofences and speed zones
Talk to us about autonomous mobility
System 2

Drone Intelligence

Transform aerial observations into vehicle trajectories, behavioural statistics and infrastructure insights.

  • AI detection and tracking
  • Trajectories on the map
  • Behaviour statistics
  • Before / after comparison
See the road-authority studies
Both systems feed GIS and data Safety analytics Decision support

From flight to finding

Every drone study follows the same traceable chain, so each number in a report can be followed back to the footage.

  1. 1Mission
  2. 2Video
  3. 3AI detection
  4. 4Tracking
  5. 5Georeferencing
  6. 6Trajectories
  7. 7Behaviour analysis
  8. 8GIS
  9. 9Report

Questions road authorities ask

Three studies we are preparing with Dutch road data. Each one compares how the road was designed with how it is really used.

Heavy-vehicle swept paths

Do trucks and agricultural vehicles drive roundabouts as designed? Real trajectories against the engineering swept path, with kerb-contact zones and a heatmap.

Overtaking prohibitions

How often is a no-overtaking zone ignored, by which vehicle types, and where? Centre-line crossings and overtaking events on a map.

Reinforced shoulders

How much traffic actually drives on the paved shoulder, how far and when? Events, vehicle classes and a shoulder-use heatmap.

Before and after

Measure before a road is changed and again afterwards, side by side on the map, to show whether a measure really works.

Designed for the European public sector

Privacy by design

GDPR-aware handling, anonymised trajectories, raw video kept separate with configurable retention.

Your maps, your data

Works with Dutch base maps and existing asset data. Results export to your own GIS.

Vendor independent

Video from any drone or fixed roadside camera; vehicles connect through an open interface.

Measured versus inferred

Every result is labelled as measured or AI-inferred, so nobody mistakes a model for a measurement.