2016 Storyboard based on research held for Yamaha.
See below for more detail on each panel
Satoru Yamanaka is a busy family man, living in Tokyo working 8am to 7pm weekdays for a famous conglomerate company.
Using the application on his smart devices, Yamanaka-San is able to quickly request a ‘Pod’ to pick him up from his house to go to work.
‘Pods’ are either waiting at local waiting zones or automatically drive to the users location using GPS or manual address input.
Yamanaka-san sits inside and is greeted by ‘AGA’; the speaking AI that interacts with users to find out destination information amongst other small talk that can happen during the journey. A request to Satoru’s work is made verbally.
Cloud profiling allows for the AI to remember users for returning customers remembering most recent destinations, home and work profiles and details such as music preferences and constant traffic updates.
The transport continues to take Yamanaka-san to work through the city using the best routes possible delivering a private, yet public transport method that is fully automatic.
Yamanaka-san receives a phone-call from his boss asking him to travel to Osaka asap for a business meeting with clients. He begins interacting with AGA and the touch-pad to alter his destination which is 500km away.
AGA decides that it needs to go to a POD station to be picked up by a dock railway to travel at a faster speed to get there in a few hours.
The Pod changes destination to a dock railway where it will be combined with several more Pods travelling to Osaka for a Pod convoy train scheduled for 12:10pm. AGA already books a spot for Yamanaka-san who doesn’t even need to leave the Pod.
AGA arrives at the docks in Tokyo with Yamanaka-san who is inside.
Pods are assembled together to create the larger convoy ready to travel out by rail to Osaka.
With the use of Pod and AGA, Yamanaka-san has quickly and efficiently been able to travel from Tokyo to Osaka without the need of multiple transports and the cost of using so many and is able to justify his trips that are distant within one day where he returns home every night to his family without the need of prolonged travelling and stop overs through his busy week.