RPUG Presentation – Private

Session No. 1.2: Keynote by Halley Cole (PennDOT)
Session No. 1.3: History of RPUG by Richard Wix (National Transport Research Organisation)
Session No. 1.4: History of PennDOT by Colin McClenahen (PennDOT)
Session No. 1.5: History of IRI by Steve Karamihas (Applied Pavement Technology)
Session No. 2.1: Characterization of Roughness on Urban and Low-Speed Roadways by Steven Karamihas (Applied Pavement Technology)
Session No. 2.2: 10-Years of Lessons Learned with a Ride Verification Program by Charles Gurganus (Texas A&M University)
Session No. 2.3: Historical Ride Quality Outcomes Under SCDOT’s Rideability Specification by Dahae Kim (SCDOT)
Session No. 2.4: Development and Upgrade of Reference Profile Measurement Devices for ICART by Mark E. Gilbert (UMTRI)
Session No. 3.01: Enhanced Pavement Profiling Through INS Integration and Point‑Cloud Fusion by Ryan Twilley (Fugro)
Session No. 3.02: PaveFormer: A Multi‑modal Framework for Pavement Distress Segmentation with Diffusion‑based Data Augmentation by Joshua Li (Oklahoma State University)
Session No. 3.03: Scaling AI-Based Pavement Distress Detection for Network PSC by Dominic Passanita (F2S infrastructure Inc.)
Session No. 3.04: Automated Replaced Slab Identification in Jointed Concrete Pavements Using Deep Learning to Improve Pavement Management by Mahla Ardebili Pour (University of California, Davis – Department of Civil and Environmental Engineering)
Session No. 3.05: Development of Workflows for Pavement Distress Segmentation Using 2D Intensity and 3D Range Images by Amirhossein Azadi (Texas State University)
Session No. 3.06: An Integrated Data-Driven Approach for Hydroplaning Risk Assessment in Asphalt Pavements Using Crash Narrative and Pavement Surface Texture Data by Gauri Mahajan (Texas State University)
Session No. 3.07: Bounding-box to Segmentation Labeling for Pavement Distresses Using a Closed-loop Platform on 2D/3D Images by Wenhan Tao (Texas State University)
Session No. 3.08: Implementation Experience of Automatic Pavement Raveling (Loss of Aggregate) Classification Using Machine Learning by Bingjie Lu (School of Civil and Environmental Engineering, Georgia Institute of Technology)
Session No. 3.09: Network-Level Automated Pavement Condition Assessment Using 3D-Laser Imaging (LCMS) Data: New Jersey Case Study by Manuel Celaya (Advanced Infrastructure Design (AID))
Session No. 3.1: Transformer‑Based Model for Roadway Profile Reconstruction in Urban Driving Conditions by Joshua Li (Oklahoma State University)
Session No. 3.11: Geospatial Positioning Based Technologies to Improve Road Quality and Smoothness by Jim Preston (Topcon Positioning Systems)
Session No. 3.12: A Novel Network-Level Framework for Wet-Weather Condition Pavement Skid Resistance Demand Categorization by Md Afif Rahman Chowdhury (North Carolina State University)
Session No. 4.1: Automated Crack Length Estimation for Pavement Maintenance by Trent Rouse (Montana DOT)
Session No. 4.2: Let’s Talk About Rutting by Scott Mathison (Pathway)
Session No. 4.3: Lessons Learned from TPP Test Data by Sheng Hu (Texas A&M Transportation Institute)
Session No. 4.4: Measurement and Correction of Concrete Pavement Smoothness by Larry Scofield (IGGA/ACPA)
Session No. 4.5: Performance Comparison between Slow Speed Profilers and Conventional Profilers by Charles Gurganus (Texas A&M University)
Session No. 5.1: The Future of Friction Measurement & Management by Brian L. Schleppi (VIHSC LLC)
Session No. 5.2: Macrotexture Line Laser Measurement Comparisons at ICART by Edgar de Leon Izeppi (Virginia Tech Transportation Institute)
Session No. 5.3: A Pirate Looks at 40 by Andy Mergenmeier (WDM USA)
Session No. 7.1A: Hybrid AI–LCMS Pavement Distress Analysis by Danilo Balzarini (ICC-IMS)
Session No. 7.2A: From 3D Measurement to Reliable Decisions by Mary Johns (Pavement Management Services)
Session No. 7.3A: Assessing Pavement Network Performance Using Crowd-Sourced Connected Vehicle Data by Ahmed Shah Nisar (Virginia Tech)
Session No. 7.4A: Explainable Vision-Language Models for Raveling by Ivan Pupo (Georgia Institute of Technology)
Session No. 7.1B: Stereoscopic Vision for Profiling by David Malmgren-Hansen (Greenwood Engineering A/S)
Session No. 7.2B: Evaluating Network-wide Pavement Roughness Data Using Every Speed Profilers by Ryan Salameh (ICC-IMS)
Session No. 7.3B: ICART Profiler Certification Program: Then and Now by Vince Belitsos (ILDOT)
Session No. 7.4B: AUSTROADS vs AASHTO Roughness Validation by Richard Wix (National Transport Research Organisation (Australia))
Session No. 8.1A: ProVAL – Next Round of Enhancements by George Chang (Transtec Group)
Session No. 8.2A: A Structurally Defined Crack Density Indicator Based on a Crack Vector Model (CVM) by Haolin Wang (Georgia Institute of Technology)
Session No. 8.3A: Road Surface Description by John Ferris (Road Scholar Solutions)
Session No. 8.4A: Systematic Literature Review on Cross-Slope and Grade Estimation Methods by Anannya Ghosh Tusti (Texas State University)
Session No. 8.5A: An Efficient Algorithm for Quantifying the Contribution of Curl and Warp to the International Roughness Index by Steven M. Karamihas (Applied Pavement Technology)
Session No. 8.1B: Quantifying Hydroplaning Risk: A Monte Carlo Simulation Approach for Enhancing Roadway Safety in Texas by Sadia Bhuiyan Shampa (Texas State University)
Session No. 8.2B: A Proposal for a 21st Century Skid Resistance Test System by John Andrews (Powel Enterprises)
Session No. 8.3B: Crash Elasticity of Speed-Adjusted Pavement Friction Across Roadway Facility Types by Behrokh Bazmara (Virginia Tech)
Session No. 8.4B: Pavement Safety Prediction with Generative Super‑Resolution Micro‑Texture Reconstruction by Joshua Li (Oklahoma State University)
Session No. 8.5B: Establishing a Data Value Chain for Continuous Tire-Pavement Friction Data by Isaac Briskin (WDM USA Limited)
Session No. 9.01: Concrete Intelligence: Machine Learning for Joint Detection by Etienne Chabot (Pavemetrics Systems)
Session No. 9.02: Automatic Distress Detection and Pavement Condition Index (PCI) Evaluation of Asphalt Surfaces Using Fused 2D/3D Image Data by Rupesh Simkhada (Texas State University)
Session No. 9.03: A Unified Modular System for Multimodal Roadway Data Acquisition by Ryan Twilley (Fugro)
Session No. 9.04: Cascaded Workflow of Automated Pavement Crack Detection and Quantification Using Segmentation AI Models by Yongsheng Bai (Texas State University)
Session No. 9.05: Active Learning for Infrastructure Distress Segmentation via Pixel-Level Difficulty Estimation by Hong Lang (Tongji University (Current affiliation: University of Illinois Urbana-Champaign))
Session No. 9.06: Evaluation of Performance of Aircraft Tire on Trapezoidal-Shaped and Rectangular-Shaped Runway Grooving by Richard Ji (FAA)
Session No. 9.07: Quantifying Laboratory–Field Relationships for Asphalt Pavement Friction and Texture Deterioration by Gary Yang (Texas A&M Transportation Institute)
Session No. 9.08: Data-Driven Prediction of Asphalt Pavement Macrotexture for Proactive Safety Design by Behrokh Bazmara (Virginia Tech)
Session No. 9.09: Prediction of Asphalt Pavement Surface Layer Modulus Using Long-Term Pavement Performance Program Falling Weight Deflectometer Data by Gauri Mahajan (Texas State University)
Session No. 9.1: A Refined Multi-Category Pavement Distress Identification Framework Based on Deep Grid Segmentation and Pseudo-Label Guidance by Haoyu Sun (RoadMainT Co., Ltd)
Session No. 9.11: Research on Vehicle-mounted Integrated Detection System Based on Spatiotemporal Synchronization Fusion by Kaixing Zhang (Roadmaint.com)
Session No. 10.1A: High-Speed Pavement Texture Measurement Prototype by Mohammad Fakhreddine (University of Illinois at Urbana Champaign)
Session No. 10.2A: Investigating the Combined Effects of Pavement Macrotexture and Friction in Facility-Specific Wet-Weather Safety Performance Functions by Md Afif Rahman Chowdhury (North Carolina State University)
Session No. 10.3A: Accounting for Device Variability in Lab–Field Friction Correlations by Nathan Moore (National Center for Asphalt Technology)
Session No. 10.4A: Optimizing Cross-Slope Estimation Using Mobile and Static LiDAR Data by Anannya Ghosh Tusti (Texas State University)
Session No. 10.5A: Towards Standardized Pavement Surface Texture Spectral Analysis and Evaluation by Ahmad Alhasan (Ingios Geotechnics)
Session No. 10.1B: Three-Level Cracking Definition Framework by Zhongyu Yang (Georgia Institute of Technology)
Session No. 10.2B: Pavement–Vehicle Interaction: Review and Trends by Prashant V. Ram (Applied Pavement Technology)
Session No. 10.3B: Evaluating Cracking Data Quality Using Field-Labeled Crack Map Ground Reference by Haolin Wang (Georgia Institute of Technology)
Session No. 10.4B: Solid-State Area-Scan LiDAR for Pavement Profile Measurement (AASHTO R56 Compliant) and Automated Distress Readiness by Kevin Mandli (XenomatiX)
Session No. 10.5B: Coarse-to-refined Road Alignment Extraction and Parameterization from MLS Point Clouds by Hong Lang (Tongji University)