Traffic data processing

Use Miovision for all your traffic studies

Miovision traffic data is 95%+ accurate on 7 traffic study types, with a 72-hour turnaround time or faster. Whether you’re collecting counts at intersections, in roadways, through roundabouts or along pathways, Miovison provides full classification (and custom classification types upon request), including vehicles, bikes, e-Scooters and people.

Bicyclist riding down a designated bike path.

Pedestrian & bicycle pathway count

Count of pedestrians, e-Scooter and bicycle volumes on sidewalks, paths, or intersecting paths.


Intersection count

Tally of vehicular, bicycle, and pedestrian movements.

roundabout with overpass nearby.

Roundabout count

Total sum of turning movements from origin to destination.

Commuter traffic during evening rush hour.

Road volume data

Count of vehicle, bicycle and e-Scooter volumes on a road segment.

Escooter rider pushing on a pathway with benches in background.

Custom classification

Custom classifications are available for roadway, crosswalk, and pedestrian junction/pathway studies.

city driving

Travel time

Measure of time for traveling between two or more locations.

Expand traffic data capabilities with advanced options

Blueline icon of a car.

Vehicle classifications

Miovision provides full vehicle classification and can provide custom classifications on request.

Blueline icon of a clock.

Data by the Minute

Selectable bin sizes of 1, 5, 10, 15, 30, or 60 minutes provide the granularity needed for any study.

Blueline icon of a crosswalk.

Multi-modal Classifications

Miovision offers multimodal classification such as pedestrians, cyclists, and e-scooters as a custom class.

Custom classification

Understand how custom classifications fit into your traffic network with this custom classification for roadway, crosswalk, and pedestrian junction/pathway studies.

Industry validated traffic data accuracy

96.4% vehicle volume accuracy

Accuracy comparison of non-intrusive, automated traffic volume counting equipment

99.5% vehicle volume accuracy

Evaluation of non-intrusive technologies for traffic detection

99% intersection count accuracy

Comparison of Turning Movement Count data collection methods for a signal optimization study

97.5% intersection count accuracy

AlburyCity comparison of traffic data collection methods