An AI-Driven Interactive Driving Simulation Platform for Modern Road Safety Training

dc.contributor.author Aparo, Cecilia
dc.contributor.author Byansi, Anthony
dc.contributor.author Ochieng, Devote Boniface
dc.contributor.author Masembe, S.J.
dc.date.accessioned 2026-01-06T08:51:59Z
dc.date.available 2026-01-06T08:51:59Z
dc.date.issued 2025-11
dc.description a dissertation submitted for the award of bachelor's degree. en_US
dc.description.abstract The Safety Pilot System is an AI-powered, gamified learning platform developed to transform traditional driver education through immersive simulation and adaptive feedback. Designed with a focus on road safety awareness, the system integrates Unity Engine for realistic driving scenarios and Azure AI for real-time analysis and personalized guidance. This project report presents the design, development, and validation of the system, highlighting its architecture, simulation mechanics, AI interaction model, and user performance tracking. Through crossplatform compatibility and responsive design, the solution ensures accessibility across desktops, mobile devices, and VR environments. Testing results indicate improved learner engagement, higher retention of traffic rules, and more meaningful feedback compared to conventional training approaches. The system demonstrates strong potential for adoption in driver training programs, institutions, and safety campaigns, especially in environments where scalable, interactive learning is essential en_US
dc.identifier.citation Masembe, S.J. et al. (2025). An AI-Driven Interactive Driving Simulation Platform for Modern Road Safety Training (Unpublished dissertation). Kampala: Makerere University en_US
dc.identifier.uri http://hdl.handle.net/20.500.12281/21667
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Safety Pilot System en_US
dc.subject gamified learning platform en_US
dc.subject Gamification en_US
dc.title An AI-Driven Interactive Driving Simulation Platform for Modern Road Safety Training en_US
dc.type Thesis en_US
Files