Predictive models: a boon to the passenger experience
From industry to financial services, predictive models are emerging in many different sectors. Transport operators have adopted them to improve urban mobility by anticipating the number of passengers and peak traffic times. As a tool for regulating urban traffic, predictive models make it possible to optimize vehicle supply and distribution over a specific area. Passengers have everything to gain: reduced waiting times and optimized vehicle capacity to ensure greater onboard comfort.
Artificial intelligence is at the heart of these predictive models, which draw on passenger and ticketing data as well as other information such as weather and event data.
