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Regular inspection of transportation assets is essential to ensure pavement markings and pavements remain in good, clean, and safe condition. Our previous MPC-funded project (Report No. MPC-668) demonstrated the strong potential of using artificial intelligence (AI) and mobile phone imagery to identify...

This project examined how roadside inspections and other law enforcement interactions could be accomplished on automated driving system (ADS)-equipped commercial motor vehicles (CMVs). This included research into: a) how automated CMVs can deliver necessary information to inspectors and b) how automated...

While SafeStat was designed to prioritize carriers for monitoring and compliance reviews, the ISS was designed to prioritize carriers for roadside inspection. However, both algorithms use similar data to define a relatively unsafe carrier. It would be beneficial if there could be one uniform motor carrier...

The goal of the present study is to improve the effectiveness of highway safety inspections of motor carriers. This project evaluates the differences, if any, between violations found during the two broad classifications of inspections (anticipated or spontaneous). The data used are taken from all the...

This project examines the feasibility of developing a model from other data to ascertain the likelihood of a certain safety rating. This would enable efforts to be concentrated on the motor carrier firms with the least probability of achieving a Satisfactory rating and reduce the need to visit every...

The main objective of the present study is to analyze roadside inspection data and its relationship to safety/compliance review and accident data. Data used for this analysis is provided by the Office of Motor Carriers and includes a sample of larger carriers with the most recent inspection information...