Fujitsu and Nagoya University have developed a new simulation technology to help local governments address transportation gaps, especially in areas with aging populations and driver shortages. The system called SAMSIM (Social Acceptance Model-based Simulation), predicts how psychological factors like trust, safety, and perceived usefulness influence people’s willingness to try new transport options like ride-sharing or self-driving taxis.
Using AI and behavioral simulations, the researchers analyzed data from a ride-sharing trial in Kawanishi Town, Japan. A survey of 1,200 residents helped identify key factors influencing usage, such as awareness and perceived usefulness of the service. The simulation showed that better-timed public awareness efforts and an increase in available vehicles could improve people’s willingness to use the service by around 20%.
This technology allows policymakers to test and refine strategies before real-world implementation. The goal is to support informed decision-making in areas beyond mobility such as urban planning and healthcare. Further experiments are planned and a demonstration of the tool will be available through Fujitsu’s Research Portal starting August 1, 2025.
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