Transformative AI for Residential and Transportation Safety
Goals
This project aims to advance state-of-the-art vehicle safety and smart-home environments by integrating machine learning, telematics, and behavioral analysis with personalized interactive experiences that improve everyday life in challenging environments. In collaboration with insurance industry experts, we plan to design and develop innovative solutions to enhance on-road and property safety, reduce accidents, and improve human safety-related behaviors that create safer communities.
We aim to enhance safety through behavioral insights via technological innovation within the transportation and multi-family housing (e.g., apartments) industries. Projects may include:
- Develop Behavioral Interaction Systems: Utilizing, but not limited to, machine learning/AI, telematics, safety technologies to provide immediate behavioral feedback to user base. These systems aim to improve behavior in real-time, leading to safer operating practices.
- Create Safety Modeling: Through the examination of historical and live data sets, we will identify key attributes to safety issues like human, environmental, and other external influences. This analysis will enable us to develop targeted strategies to mitigate these risks.
- Technology and Hardware Development: Explore new technological avenues and hardware solutions to enhance driver safety. This might include advanced driver-assistance systems (ADAS), dash-camera, blockchain, and other innovative tools that can be incorporated into vehicle fleets and/or properties.
- Collaboration with Insurance Experts: Partner with insurance industry professionals who have extensive experience with transportation fleets across the United States. This collaboration will provide valuable insights into the practical applications of our solutions in the context of auto insurance.
Issues Involved or Addressed
This project stands to make significant contributions to public well-being by enhancing safety and reducing costs. Leveraging technology and data, this project aspires to create a safer living and traveling environment, thus reducing the financial impact of these issues. The anticipated outcomes are manifold: a decrease in road and residential accidents, diminished property losses, less litigation, and a substantial enhancement to public safety and well-being. This initiative not only aims to protect lives but also to alleviate the economic strain these incidents place on society.
Methods and Tech
- Cross-Sector Data Integration: Analyze data from both transportation and residential sectors to understand behavioral patterns and risk factors. This includes extensive data sets from diverse sources, including telematics, federal government data, and insurance records.
- Machine Learning Implementation: Develop and refine machine learning models to interpret the data, focusing on identifying behaviors and suggesting corrective actions.
- Prototype Development: Design and test prototypes of the proposed systems and hardware, ensuring they are effective, user-friendly, and applicable in real-world scenarios.
- Stakeholder Engagement: Regularly engage with insurance and business executives, and industry professionals, to align our solutions with industry needs and integrate expert feedback into our development processes.
Academic Majors of Interest
We are open to students of all backgrounds. Please share with us your background, skills, and vision for contributing to the project.
Preferred Interests and Preparation
We are open to students with a broad array of skills including:
- Data Science
- Computer Science
- Interactive technology design and development (game design, AR/VR, etc.)
- Engineering project and product development
- Business Analytics and Management
- Psychology and Behavioral Sciences
Application Process
To express interest in this team, please complete the VIP Interest Form and select "Transformative AI for Residential and Transportation Safety."
This team offers opportunities for undergraduate and graduate students, as well as honors students. We are open to Federal Work-Study Students.