Integrate ridership predictions into a MaaS app (@CITiO stand)

CITiO

How to predict the number of passengers on board vehicles and share this information with travelers in an efficient way?

The EGG Brussels

Informing public transport users about the load on board is a key issue, especially since the beginning of the Covid pandemic, which has caused a decrease in the attractiveness of public transport for citizens who fear closed and saturated spaces. The majority of transport networks have not managed to reach the pre-crisis level of ridership. But how do you provide this information? How do we ensure that it is reliable?In this demo session, we will explain how we are able to predict on-board ridership, thanks to big data and artificial intelligence, and how we can render this information in a MaaS application.

Integrate ridership predictions into a MaaS app (@CITiO stand)

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Integrate ridership predictions into a MaaS app (@CITiO stand)

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