The importance of public transportation services is rising all over the globe. Passengers expect punctual information and frequent updates throughout their journey. How can transit companies work on meeting these expectations and making the commuting experience better? The answer lies in optimizing the present data and applying new techniques to make accurate real-time information available to the consumer.
Artificial intelligence (AI) & machine learning (ML) are currently the most promising clusters of applied methods to excel in making accurate predictions based on data. For public transit services, T-Systems has created an exemplary machine learning solution called the forecasting machine (“Prognoseautomat”) to accurately predict train arrivals and departures in real time. The white paper takes a look at this advanced solution and its goal of delivering an exceptional rail experience.
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