RPUG 2025 Presentation

Session No. 0.21: Physical Interpretation of Contactless Energy-Based Tire-Pavement Friction Models by Ahmad Alhasan(HNTB), John Senger
Session No. 1.1: Welcome by Colin McClenahen (PennDOT)
Session No. 1.2: Keynote Speech by Mohamed “Mo” Bur (TxDOT)
Session No. 1.3: State of Connecticut DOT current practice for QC/QA for Pavement Condition Data – Emphasis on LCMS pavement distress identification by Jeannine Moriarty (Connecticut Department of Transportation)
Session No. 1.4: Critical Assessment of Cross-slope Measurement Accuracy from 3D Pavement Data by Mohsen Mohammadi(Georgia Institute of Technology), Yi-Chang(James) Tsai, Zhongyu Yang, Jenny Li
Session No. 2.1: Proposal for an International Standard Crack Map by Michael Nieminen (ICC-IMS)
Session No. 2.2: Pavement Surface Characteristics Evaluation Using Vehicle-Based Data Collection by Gerardo Flintsch(Virginia Tech), Grace Mardirossian, Matteo Pettinari, Edgar de Leon and Björn Zachrisson
Session No. 2.3: Cracking Data Quality Assessment Using Ground References: Developing a Standard Methodology by Haolin Wang(Georgia Institute of Technology), Zhongyu Yang, Ryan Salameh, Mohsen Mohammadi, and Yi-Chang (James) Tsai
Session No. 2.4: Using AI to enhance the analysis of 3D pavement image data by John Laurent (Pavemetrics Systems Inc.)
Session No. 3.3: Illinois DOT’s IRI Specification – Looking Back at the First Four Years by John Senger (ILDOT)
Session No. 3.4: Smooth Roads, Strong Partnerships: Developing CDOT’s Latest Specification by Sarah Dalton(ACPA), Eric Prieve
Session No. 4.1: Real Time Smoothness for Concrete Pavements: State-of-the-Practice and Value Proposition by David Merritt(Transtec Group, A Terracon Company), Gary Fick, John Adam
Session No. 4.2: History and Current Status of Dual-Laser Inertial Profiling Technology by Paul Toom (ICC-IMS)
Session No. 4.3: Leveraging Lidar Data to Construct Smoother Pavements by Jim Preston (Topcon Positioning Systems)
Session No. 5.1: Automated and Interpretable Classification of Jointed Plain Concrete Pavement (JPCP)Slab State Using Crack Vector Model(CVM) by Zhongyu Yang(Georgia Institute of Technology), Trinh N. Flynt, Ryan Salameh, Georgene Geary, Yi-Chang (James) Tsai
Session No. 6.1: A fraction too much friction-never by Richard Wix (National Transport Research Organization )
Session No. 6.2: Evolution of High Friction Surface Treatment Projects in Kentucky by Richard (Alex) Mucci (Kentucky Transportation Cabinet)
Session No. 6.3: iSAVE–The Mississippi Experience by Jim Poorbaugh (Mississippi Department of Transportation)
Session No. 6.4: The Role of Continuous Tire-Pavement Friction Measurement in the Management of High Friction Surface Treatments by Isaac Briskin(WDM), Ryland Potter
Session No. 7.1: Texture Signature Performance Index (TSPI) Implementation by Everett Schmitz (Pathway Services Inc)
Session No. 7.2: Establishing Friction and Macrotexture Investigatory Thresholds by Boris Goenaga(North Carolina State University), Shane Underwood, Cassie Castorena, Paul Rogers
Session No. 7.3: Investigating the Combined Effects of Macrotexture and Friction on Crash Counts and Safety Performance Functions for Different Pavement Mix Types and Roadway Categories by Behrokh Bazmara(Virginia Tech), Gerardo W. Flintsch, Edgar de León Izeppi
Session No. 7.51: Development of Physics-Guided Neural Networks for IRI Prediction in Jointed Plain Concrete Pavements by Tanvir Ahmed(University of Texas at Tyler), Mayzan Isied, Mena I. Souliman
Session No. 7.51: Multi-Objective Pavement Distress Detection with CNN and Transformer Deep Learning Architectures by Fateme Ansari (Oklahoma State University), Kaustav Chatterjee, Joshua Q. Li , Kelvin Wang, Amir Golalipour
Session No. 7.51: Cascaded Workflow for Automated Pavement Crack Detection and Measurement Using Generative AI Models and Image Processing Techniques by Yongsheng Bai(Texas State University), Feng Wang
Session No. 7.51: Advancing Pavement Evaluation with 3D GPR: Applications, Advantages, and Limitations by Ali Hafiz(Advanced Infrastructure Design), Manuel Celaya, Kaz Tabrizi
Session No. 7.51: Quantification and Prediction of Pavement Flushing Using Surveying, Texture, Temperature and Traffic Data by Gauri Mahajan(Texas State University, San Marcos), Sadia Bhuiyan Shampa, Feng Hong, Xiaohua Luo, Feng Wang
Session No. 8.1: Statistical Analysis of Different Spatial Sampling Alternatives in Network-Level Pavement Texture Data by Feng Hong(Texas State University), Ruohan Li, Jorge A Prozzi
Session No. 8.2: Diamond Grinding for Fuel Economy Improvement and Safety grooving for Friction Remediation by Nicholas Davis (IGGA)
Session No. 8.3: Unboxing The Blackbox: Uncertainty and AI in Pavement Condition Data and Performance Models by Ahmad Alhasan(HNTB), John Senger
Session No. 8.4: Automated Project-Level Maintenance and Rehabilitation Planning and Design for Jointed Plain Concrete Pavements Using 3D Pavement Surface Data by Ryan Salameh(Georgia Institute of Technology), Jaden Lim, and Yi-Chang (James) Tsai
Session No. 9.1: Network-Wide Screening Using Connected Vehicle Data by Björn Zachrisson(Nira Dynamics), Matteo Pettinari
Session No. 9.2: Implementing Artificial Intelligence in Automated Pavement Distress Detection at the State Level: Lessons Learned in Texas by Haitao Gong(Texas State University), Feng Wang, Jelena Tesic, and Andrew Scouten
Session No. 9.3: Evaluating Pavement Macrotexture Using 3D Laser Technology and its Correlation with Skid Resistance by Ali Hafiz(Advanced Infrastructure Design), Manuel Celaya, Kaz Tabrizi
Session No. 12.3: Contractor Pavement and Bridge Profiling Verification by Max G. Grogg (Applied Pavement Technology)