Breaking New Grounds in Passenger Flow and Counting

 

Non-gated public transport systems all have the challenge of detecting when and where passengers leave the vehicles. Also, new forms of ticketing means that passengers might not even be registered on vehicle entry. Dedicated hardware like cameras and IR beams to do passenger counting is costly. Such systems also need a lot of installation work, which is time-consuming and prohibitively expensive. However, achieving effective public transport system planning is very difficult without reliable statistics on the flow of passengers.

Passenger Flow Analysis

Now, a revolutionary solution is available - one that is inexpensive and easy to install. Meet FourC’s patent pending «Cities in Motion» Passenger Flow Analysis – the big data analysis solution that anonymously monitors and calculated the flow of passengers within a transport system by passively listening to electronic signals from the passengers’ mobile devices.

 

Data quality can be improved by incorporating events from other sources like APC systems and by adding door status for each stop to the cloud-based analytic engine.

 

Using state of the art big data techniques, the analytic engine generates passenger flow statistics to be presented on APIs, on rich maps or by using graphs or tables. The graphs and maps are even clickable, showing passengers entering and leaving on every stop and where they go after leaving.

 

The software utilizes artificial intelligence methods to learn passenger behaviour patterns and thereby builds a complete overview of the flow of all passengers for the full transport system - on every stop, on every route, at every time.

 

The solution is installed as a service on any standard computer device, including all «Cities in Motion» Open Service Platform-tested devices. 

 

An OEM solution is being made available for 3rd party integrators of the sensor software. Typical use cases are routers, ticket machines and other computing devices which might be available in the vehicles already.

 

 

What next ?

 

 

 

Presentation at UITP in Stockholm, June 2019

 

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