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A Reinforcement Learning Method for Multiasset Roadway Improvement Scheduling Considering Traffic Impacts
Publisher: ASCE
Abstract: Maintaining roadway pavements and bridge decks is key to providing high levels of service for road users. However, improvement actions incur downtime. These actions are typically scheduled by asset class, yet implemented ...
Pavement Distress Recognition via Wavelet-Based Clustering of Smartphone Accelerometer Data
Publisher: ASCE
Abstract: The ubiquity of smartphones has led to a variety of studies on how phone accelerometers can be used to assess road pavement quality. The majority of prior studies have emphasized supervised machine learning, assuming the ...
Valuing Imperfect Information from Inspection and Sensing in Condition-Based Roadway Pavement Management with Partially Observable Conditions
Publisher: American Society of Civil Engineers
Abstract: High serviceability of roadway pavements is crucial to well-functioning roadway networks. With time and use, the condition of these roadway elements degrades and maintenance or rehabilitation (M&R) is required to ensure ...