Skip to content
Tagus OrbitRequest a demo

APTA 2026Meet us at TRANSform & EXPO · Chicago · October 4–7

Tagus Orbit APC · Automatic Passenger Counting

Passenger counts, with the context to act on them.

Stationary and onboard APC in one software layer. Real-time counts, occupancy, sensor health, alerts and data quality for transit agencies and technology partners.

The challenge

The operational blind spot

Passenger demand changes by the hour. The numbers alone don’t say whether a quiet reading means quiet service or a disconnected sensor.

01

Where is the load building?

Station, track, train and time.

02

Which sensors need attention?

Connection, fault and tamper states.

03

Which readings need investigation?

Quality signals before anything is reported.

Counts say how many. Operations also need to know whether to trust them.

The platform

Stationary and onboard APC, one software layer

Stationary

Platform-mounted sensors with station and track context.

Onboard

Bus and train door sensors with vehicle and trip context.

Real-time counts

Train In and Train Out by station, track and train, with point-level inspection.

Occupancy & events

Boarding and alighting alongside train load and vehicle-event context.

Sensor health

Every sensor’s state and timestamp. The one that needs attention stands out.

Alert workflows

Detect, notify, investigate, verify recovery. Rules agreed per deployment.

Data quality

Transmission patterns, quality diagnostics and control charts before reporting.

Open integration

A REST API to agency systems and technology partners.

Case in point

The Chicago solution

Counts, sensor condition and data quality side by side, the way operators and analysts use them.

Directional counts: Train In and Train Out by station and track, 30-day window.
Directional countsTrain In and Train Out by station and track, 30-day window.
Sensor states: One sensor with No Connection among OK neighbours.
Sensor statesOne sensor with No Connection among OK neighbours.
Fault history: No Connection, Sabotaged and Fault by station, track and sensor.
Fault historyNo Connection, Sabotaged and Fault by station, track and sensor.
Occupancy: Boarding and alighting with train load. Historical example, 2023.
OccupancyBoarding and alighting with train load. Historical example, 2023.
Quality diagnostics: Z-score and control chart views for deeper investigation.
Quality diagnosticsZ-score and control chart views for deeper investigation.

Captured views from the Chicago solution dashboards, not a live feed. Metric definitions are confirmed during technical scoping.

Architecture

From sensor to agency systems

01

Sensor inputs

Stationary and onboard APC

02

Ingestion & processing

Counts, occupancy and quality context

03

Operations & history

Dashboards, alerts and stored events

04

REST API

Agency systems and technology partners

Cloud

A hosted environment with an agreed access and operations model.

On-premises

An agency-controlled environment with an agreed infrastructure and support model.

Conceptual architecture. Containerized services; protocols, schemas, authentication and latency are confirmed during integration design.

Next step

Start with a focused pilot

One operating area. Agreed acceptance criteria. Evidence you can review with operations and IT.

  1. 01

    Scope

    Choose a station, corridor or vehicle group, and the sensors and integrations in play.

  2. 02

    Measure

    Counts, data delivery and fault handling against a baseline agreed up front.

  3. 03

    Review

    Walk through the results together with operations and IT, then decide what’s next.

Let’s explore your station or fleet.

Request a Chicago solution walkthrough or a partner integration session.

contact@tagusorbit.com