| Team Name | Civic Transit Crew |
| Track | Public Sector |
| Use Case | Community MaaS Planner (Aging × Rural Mobility): forecasts 15-minute demand and optimizes mixed EV minibus/taxi fleets on SAS Viya (VRP dispatch with OPTMODEL) to cut wait times and CO₂ while preserving essential access for seniors in rural towns. |
| Technology | SAS, Python, Generative AI |
| Region | Tokyo, Japan (AP Region) |
| Team lead |
ITOCHU Techno-Solutions Corporation: |
| Team members |
ITOCHU Techno-Solutions Corporation: |
| Social media handles | - |
| Is your team interested in participating in an interview? | N |
| Optional: Expand on your technology expertise |
Pitch Video
Jury Video
Team Members
April 27 – 30 | Gaylord Texan | Grapevine, Texas
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Latest updates from the SAS Hackathon Desk.
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Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Join us at the 2025 SAS Hackathon Sept. 15 – Oct 10. Visit the SAS Hackathon homepage.
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