Helping operators and city councils
understand public transport passengers behavior

PEOPLE COUNTING BASED ON 3D IMAGE
PASSENGERS PER EXPEDITION AND MONITORING IN REAL-TIME
ORIGIN AND DESTINATION MATRIX BASED ON PEOPLE COUNTERS AND WIFi TRACKING
EASY INTEGRATION WITH OTHER INFORMATION SYSTEMS
INTUITIVE DASHBOARD

USE CASE

HOW COUNTEREST HELPS YOU

OPERATIONS

RESOURCES OPTIMIZATION

Align routes to real origin-destination matrix and adjust fleets according to real fluctuation of passengers

DYNAMIC SERVICE

Align scheduling to real-time demand

SELF-PLANNING

Provide real time occupancy data to your users and help them to avoid crowds

CROWD SAFETY

AGGLOMERATIONS CONTROL

Identify overcrowded zones and enhance safety wherever is needed

FRAUD MEASUREMENT AND DETECTION

Detects fraudulent behavior on access points

CHANGE OF ROUTES SIMULATION

Predict the usage of a new stop, route and line

MOVE TO DATA-DRIVEN DECISIONS

These are some of the functionalities you will have access to:

Footfall data visualization in real time
Passenger flow variation along time and dependence on external data: weather, big city events,...
Alarm notification to smartphone
Sabotage detection
System integration via API

USE CASE

Counterest works together with the Cambridge University to build a model for predicting people flow in the London Underground in order to better match supply and demand and, eventually, go into dynamic scheduling.