- Session No. 1.2: Keynotes by Bouzid Choubane (NCPP)
- Session No. 2.1: Evaluating the relationships between different testing systems used on roadways to measure friction and macrotexture on state highway agencies to assess similar friction characteristics (microtexture and macrotexture) by Edgar D. de León Izeppi(VTTI), Gerardo W. Flintsch, Ross McCarthy, and Harikrishnan Nair
- Session No. 2.2: Establishing a Validation Procedure for Continuous Friction Measurement Equipment by Chris Young (ARRB Systems)
- Session No. 2.3: Texture Signature Performance and Evaluation by Everett Schmitz (Pathways)
- Session No. 2.4: Application of Artificial Neural Network in Predicting Pavement Macrotexture by Behrokh Bazmara (Vtech), Flintsch, W.G., de León Izeppi, E., Golalipour, A. and Boz, I.
- Session No. 2.5: Are automated distress surveys with high repeatability and reproducibility really possible on statewide projects? by Danilo Balzarini (ICC)
- Session No. 2.6: Deterioration Analysis Using Macrotexture and Aggregate Loss Indicators from Multi-Timestamp 3D Pavement Surface Data by Ryan Salameh(GTECH), Pingzhou (Lucas) Yu, and Yichang (James) Tsai
- Session No. 3.1: Energy-Based Noncontact Tire-Pavement Friction Models by Ahmad Alhasan (ARA)
- Session No. 3.2: Smart Tire Sensors for Verifying Accuracy of Continuous Friction Measuring Equipment (CFME) by Richard Ji (FAA)
- Session No. 3.3: Continuous Tire-Pavement Friction and Macrotexture: Left vs. Right Wheel Paths by Isaac Briskin(WDM), Daniel Galvez, and Ryland Potter
- Session No. 3.4: Compare CA portable skid tester (PST) against CFMEs by Baron Colbert (Caltrans)
- Session No. 3.5: Implementation of Relative Performance Targets in a New State PMS Using Deighton’s dTIMS Platform by Alex Bernier(Uconn), MDShaidur Rahman, and Daniel Weymouth
- Session No. 4.1: How FDOT is using machine learning to detect Raveling from LCMS Images by Mateo Carvajal(FDOT), Noah Borelli, Charles Holzschuher, and William Bryant
- Session No. 4.2: Panel Discussion on Texture by Brian L. Schleppi (VIHSC), Mandli, WDM, SSI, Pavemetrics, and Pathways
- Session No. 5.1: We are Finally in the 21st Century: An Update from the Nevada Department of Transportation by Steve Hale (NVDOT)
- Session No. 5.2: All Speed Profiler (ASP) by Everett Schmitz (Pathways)
- Session No. 5.3: Application of ProVAL SAM Grinding Simulation for Cold Planning by Jeff McGowan (Shelly Sands)
- Session No. 5.4: Caltrans Stop-and-Go Profiler Implementation by Baron Colbert(Caltrans), and Nick Schaffer
- Session No. 6.1: Illinois Certification and Research Track by John Senger (IDOT)
- Session No. 6.2: ICART by Cindy MacDonald(Mandli), and John Senger
- Session No. 6.3: Key Findings Regarding Cross Correlation by Steve Karamihas (APTech)
- Session No. 7.1: From 2D to 3D – the Future of ProVAL by George Chang (Transtec Group)
- Session No. 7.2: Evaluation on Surface Characteristics of Florida’s Concrete Test Road and Longitudinally Grooved Concrete Project by Charles Holzschuher (FDOT)
- Session No. 7.3: HPMS Pavement Data Reporting and Recent Status by Max Grogg (APTech)
- Session No. 7.4: What is and What’s New with TRB AKP50? by Brian L. Schleppi (VIHSC)
- Session No. 8.1: FDOT Implementation of the Automated Condition Survey by William Bryant (FDOT)
- Session No. 8.2: Comparing Road Condition Indexes using Automated PCI, PASER and PSCI Methods on Standard LCMS Road Condition Data Outputs by John Laurent (Pavemetrics)
- Session No. 8.3: Value of Asset Lifecycle Management Integration by Maximillian Ovett (Trimble)
