Fujitsu Social Digital Twin Platform Optimal Shared Mobility Deployment
The "Selection Model for Human Behavior" that Underpins Digital Rehearsal
In the optimal shared mobility deployment demo app, users can see results that reproduce the behaviors of people by using a behavior selection model that selects the movement method and route.
Take a moment to reflect on your daily activities. Isn't it a series of choices about when to wake up and what to eat? In order to reproduce this type of human behavior on a digital twin, Fujitsu has developed the "Selection Model for Human Behavior". Advantages of this model include the ability to explain the rationale behind the selections made, as well as that the predicted results match well with the actual selection results. With a unique technology that combines prospect theory, one of the leading theories in behavioral economics, with machine learning, it is able to express the difference in choices between individuals while maintaining behavioral characteristics that are common to many people.
The Digital Rehearsal You Can Experience Today
Optimal Shared Mobility Deployment Application
With this application, users can experience finding the most optimal measure to achieve both CO2 reduction and mobility convenience using the "Selection Model for Human Behavior," changing the placement and reservation method of shared e-scooters while checking CO2 emissions and convenience indicators.
Data Generator Tools
The tool that helps you create data that can be used in the Optimal Shared Mobility Deployment Applications.It makes it easy to generate city map data, OD human flow, and change shared e-scooter station placement. Let's try a digital rehearsal in your favorite city.
