Fujitsu Begins Field Trial for AI-Based Train Delay Prediction in Japan

Fujitsu_train delay time predictionFujitsu today announced that it has collaborated with Jorudan to add a train delay time prediction function, using AI machine learning technology, to Jorudan’s Norikae Annai, a service that provides public transportation route-planning information. It is also carrying out a field trial of this service in support of public transportation users in their choice of routes across 138 train lines in the Kanto region, starting today until September.

SPATIOWLThis functionality is provided as the cloud service FUJITSU Intelligent Society Solution SPATIOWL, which embeds a delay time prediction engine – jointly developed with SRI International one of the world’s pre-eminent research organizations – into the Fujitsu AI technology, Human Centric AI Zinrai. Delay time predictions with enhanced accuracy are provided by having the service learn from data, such as that from railway operations and from past data about railway operations submitted by users to Jorudan’s Norikae Annai service. This enables users of the Norikae Annai app to have more accurate and timely predictions about train delay times than before, making it useful for them to choose a route

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