Waypoint TelemetryWaypoint Telemetry
Solutions/Transportation & Mobility

Transportation & Mobility Analytics

Measure pedestrian and cyclist volumes, directionality, and crossing behavior on shared-use paths, bridges, and corridors — the observational data transportation planners need without staffing manual counts.

Questions We Answer

How many people walk and bike this corridor?

Is this pedestrian crossing safe and well-used?

What's the directional flow across this bridge?

How do volumes change by time of day and season?

How do commute and recreation peaks differ?

Can we support a grant or warrant analysis with this data?

What You Get

Mode breakdown

Separate pedestrians, cyclists, and other users automatically.

Directional flow

Crossing and corridor directionality for safety and planning analysis.

Time-of-day volumes

Continuous counts across days, weeks, and seasons.

Defensible methodology

Image-validated observations agencies and DOTs can stand behind.

Transportation & Safety Applications

Traffic & Safety Studies

Pedestrian and cyclist volumes, directionality, and behavior are the inputs safety and active-transportation studies depend on — collected continuously instead of from a single one-day manual count.

Measured continuously:

  • Crossing and corridor demand
  • Directional flow
  • Peak periods by time and season
  • User behavior and mode mix

Applications include:

  • Crossing upgrades
  • Signal warrant analysis
  • Traffic calming projects
  • School-access studies
  • Grant applications

Why Image-Based Monitoring

Traditional traffic studies often require field crews and short collection windows. Image-based monitoring extends the record and adds context a tube or beam can't.

Waypoint enables:

  • Longer, continuous collection periods
  • Seasonal and multi-month analysis
  • Remote monitoring without field staff
  • Image validation of every observation

Metrics We Capture

Every metric below is derived from image-validated detections — exportable and auditable, not modeled estimates.

Pedestrian counts
Cyclist counts
Mode split
Directionality
Peak periods
Group size
Helmet compliance
Seasonal trends

What the Data Looks Like

Vehicle classification, helmet compliance, and directional flow for a corridor.

Donut charts of vehicles by type, helmet compliance, and directionality