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How a Ride on the S-Bahn Becomes Smart: HPI Helps Customers with the Immediate Analysis of Twitter Entries

Every day millions of people use public transportation. They resent when sudden disturbances arise, disrupting the course of their travel plans. In the future, the "S-Bahn Analyzer" from Hasso Plattner Institute will help customers with the lightning-fast analysis of multiple entries in the short message service Twitter. With this solution, presented by HPI at CeBIT, customers are better able to adjust to irregularities in public transport travel.

The "S-Bahn Analyzer" from HPI will help customers with the analysis of multiple entries in the short message service Twitter. (Source: HPI)

Aided by technology for high-speed databases—in-memory data management—HPI scientists analyze Twitter entries about the S-Bahn lines and train stations, link them and calculate a prognosis. In live statistics, the S-Bahn Analyzer can also indicate at any time the most common types of incident and what times of the day which events are reported and with what frequency for specific lines. As a result, passengers will better be able to choose the route and means of transport best suited to the situation at hand.