Fujitsu collaborated with Japan’s Jorudan Company to give public information about train delays.
In Japan’s urban rail system, trains are commonly delayed by sudden accidents or disasters.
When this happens, alternative or replacement transportation is offered through other public transport methods, such as other train lines or buses.
At the same time, this creates a problem for users when they need to think about how to most effectively reach their destination.
Fujitsu will 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.
Jorudan’s Norikae Annai service is used by about 10 million people per month in Japan to find routes, fares and estimated travel times for modes of public transportation.
The company 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.
This functionality is provided as the cloud service FUJITSU Intelligent Society Solution SPATIOWL, which embeds a delay time prediction engine – jointly developed with SRI International into the Fujitsu AI technology, Human Centric AI Zinrai.
Delay time predictions 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.