PI: Pingbo Tang
Co-PI(s): N/A
University: Carnegie Mellon University
Industry partner: CompuSpections, LLC; Clarience Technologies
The proposed project intends to enhance the safety of fleets of commercial trucks and trailers without compromising mobility and operating costs. Around the world, vehicle safety inspection programs have inspectors manually check commercial trucks and trailers' safety components, such as brakes, tires, and lights, periodically or randomly. Research results show the need for such safety programs, but state legislatures have been eliminating them due to the perception that they waste resources. This perception is due to the lack of methods that help prioritize millions of commercial vehicles.
The proposed PITA project will form a synergy with a proposed Mobility21 project. These two projects proposed collectively enable targeted inspection and maintenance of commercial vehicle fleets by vehicle deterioration digital twins that integrate historical inspection records and real-time sensor data for predicting high-risk vehicles and components. We are strengthening the partnership with two Pennsylvania firms to create vehicle deterioration digital twins based on their data. Our ongoing inspection and telematics data analytics efforts can serve as the basis for building vehicle deterioration digital twins. We then use the reconstructed deterioration digital twins to simulate and identify effective inspection and maintenance plans that balance any given fleet's safety, mobility, and maintenance costs.