Autonomous Mobility
Plan, monitor, validate and analyse autonomous shuttle operations.
- Live vehicle telemetry
- Route and stop management
- Scenario validation
- Geofences and speed zones
One platform for autonomous vehicle operations, infrastructure validation and aerial traffic-behaviour intelligence.
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.
Plan, monitor, validate and analyse autonomous shuttle operations.
Transform aerial observations into vehicle trajectories, behavioural statistics and infrastructure insights.
Every drone study follows the same traceable chain, so each number in a report can be followed back to the footage.
Three studies we are preparing with Dutch road data. Each one compares how the road was designed with how it is really used.
Do trucks and agricultural vehicles drive roundabouts as designed? Real trajectories against the engineering swept path, with kerb-contact zones and a heatmap.
How often is a no-overtaking zone ignored, by which vehicle types, and where? Centre-line crossings and overtaking events on a map.
How much traffic actually drives on the paved shoulder, how far and when? Events, vehicle classes and a shoulder-use heatmap.
Measure before a road is changed and again afterwards, side by side on the map, to show whether a measure really works.
GDPR-aware handling, anonymised trajectories, raw video kept separate with configurable retention.
Works with Dutch base maps and existing asset data. Results export to your own GIS.
Video from any drone or fixed roadside camera; vehicles connect through an open interface.
Every result is labelled as measured or AI-inferred, so nobody mistakes a model for a measurement.