The final agenda will be published in the spring. Following are the tracks and sessions being presented.

Links are below. A few files are too large to link at the moment, but this is being addressed.

Sunday, June 2

• 8:00am - 9:00am

  • Walk to NaTMEC (Meet in the Boise Centre courtyard)

• 9:15am - noon

  • Ride to NaTMEC (Meet in the Boise Centre courtyard for transport to BSU)

• 1:00pm - 2:45pm

  • Workshop: Traffic Monitoring Guide (Jenna Sinclair)

• 3:00pm - 5:00pm

  • Workshop: Video AI (Shuqing Wang)

    • AIWaysion

    • INRIX

    • Leetron

    • Omnisight

    • Quarterhill

    • Rekor

    • Smart ITS

    • University of Tennessee at Chattanooga

    • Roadsys

• 6:00pm - 8:00pm

  • Welcome To Boise Reception

Monday, June 3

• 7:00am - 8:15am: Breakfast

• 8:30am - 9:30am: Opening Plenary (Moderator: Margaret Pridmore / Jenna Sinclair)

  • Welcome to Boise: Idaho Transportation Department Director, Scott Stokes

  • Welcome to NaTMEC and What We Do: FHWA Director, Office of Highway Policy Information, David Winter

  • ISWIM -Updates from the President, Deborah Walker

  • KEYNOTE: Data - The Foundations of Our Democracy: US Census Bureau Director, Robert Santos

  • Working Together: FHWA Chief, Travel Monitoring Surveys Division: Tianjia Tang

• 9:30am - 10:00am

  • Networking

• 10:00am - 11:30am

  • Track 2: Using AI for Traffic Monitoring Data (Moderator: Lee Han)

    • Vendor Lightning: Quarterhill

    • Using AI to Capture Trespassing Near Moving Trains, Chris Vaughan, Lectern

    • Comparative Assessment of AI based Vehicle Classification Technologies, Ian Wong, New Hampshire DOT, Lectern

    • Student Lightning: Processing Attacks and Their Transferability in Traffic Forecasting Models, Xin Wang, University of Washington

  • Track 3: Count Stations (Moderator: Tianjia Tang)

    • RoadPod VM provides rapid solution in Western Australia's Remote North, Mike Kenny, Metrocount, Lectern

    • IDOT's Continuous Count Station (CCS) Equipment Comparison, William Morgan, Illinois DOT, Lectern

    • Virtual Count Stations: An Approach to overcome Gap Counts, Christopher Moore, New Hampshire DOT, Lectern

  • Track 4: COVID-19 Impacts on Travel Behaviors and Modeling (Moderator: Chade Saghir)

    • Modeling and Forecasting National and State Travel Behavior and Demand, David Pace and Anna Solow-Collins, Lectern

    • Travel During the Pandemic: Results from User Survey, Hazem Aboutaleb, Lectern

    • Student Lightning: Insights from Travel Survey Results: How the Pandemic Changed our Travel, Sage Smith, University of Idaho

• 11:30am - 1:00pm

  • Lunch Provided

• 1:00pm - 3:00pm

  • Track 1: Innovations in Micromobility Data Collection (Moderator: Rafael Nieto)

    • Vendor Lightning: Michelin Mobility Intelligence

    • Building a Non-Motorized Data Collection and Monitoring Program: Insights from automated counter data, Stephen Charters, Eco-Counter, and Tori Cale, COMPASS, Lectern

    • Pedestrian volume estimation from Oregon traffic signal data, Patrick Singleton, Utah State University, Lectern

    • What data tells us?, Elizabeth Stolz and Eric Katz, Marlin Engineering, Lectern

    • Bicycle and Pedestrian Data Collection - Non-Intrusive Solutions, Roy Czinku and Scott Sherwood, Quarterhill, Lectern

  • Track 2: Modeling Meets Traffic Monitoring Data (Moderator: Daniel Jenkins)

    • Vendor Lightning: Omnisight

    • High Fidelity Connected Vehicle (CV) Probe Data Driving Insights to Origin Destination Travel Patterns, Michael Pack and Nikola Invanov, CATT Lab - University of Maryland, Lectern

    • Next Generation National Household Travel Survey Passenger Origin-Destination Data Program: National-Level Multimodal Origin-Destination Estimation Based On Passively Collected Location Data and Machine Learning Methods, Yixuan Pan, Aref Darzi, and Guangchen Zhao, CATT Lab - University of Maryland, Lectern

    • Next Generation National Household Travel Survey Truck Origin-Destination Data Program: National-Level Truck Origin-Destination Estimation Based On Truck Global Positioning System (GPS) Data, Aref Darzi and Yixuan Pan, CATT Lab - University of Maryland, Lectern

  • Track 3: Counting with AI (Moderator: William Morgan)

    • Counting e-bicycles and e-scooters for Pedestrian/Bike Counter with AI , Terry Lee, Leetron Vision, Lectern

    • An Energy-efficient Portable Traffic Monitoring Solution using Edge-Computing and Hybrid Camera Technologies, Lianyu Chu, CLR Analytics, Lectern

    • A.I. Vehicle Classification Testing, Kevin McElwain, Michael Baker, Lectern

    • Implementing AI Traffic Counters into a State Traffic Monitoring Program, Peder Jerstad, Montana DOT, Lightning

  • Track 4: Travel Time Reliability and Time Measuring (Moderator: Penelope Weinberger)

    • Truck Border Crossing Time Measurement System at the U.S./Mexico Border, Carlos Silva and Brittney Gick, Texas A&M Transportation Institute, Lectern

    • Validation of Probe-Based Rural Travel Time in Stowe, Vermont, Stanley Young, National Revnewable Energy Laboratory, Lectern

    • Modeling travel time reliability for non-interstate national highway system routes, Chien-Lun Lan and Mo Zhao, Virginia DOT, Lectern

    • Weekend HOV Operations in the Houston Area, Robert Benz, Texas A&M Transportation Institute, Lectern

    • Student Lightning: Data Collection, Processing and Analysis of Meteorological Factors, Pavement Performance, and Traffic Mobility, Chuang Chen, Washington State University

• 3:00pm - 3:15pm

  • Break

• 3:15pm - 4:45pm

  • Track 1: WIM Data In Motion (Moderator: Deborah Walker)

    • Vendor Lightning: Intercomp

    • Uses of WIM Data by State and Federal Agencies, Steven Jessberger, FHWA

    • Using WIM data to estimate Longer Combination Vehicle VMT – An AI approach, Ahmed Abdel-Rahim, University of Idaho

    • Idaho POE’s Relationship with WIM - A Case Study, Craig Roberts, Idaho Transportation Department

    • Student Lightning: Smart and Cooperative Truck Parking Monitoring and Calibration System Empowered by Machine Learning, Nutvara Jantarathaneewat, University of Washington, Student Lightning

  • Track 3: Count Data Processing (Moderator: Shuqing Wang)

    • Vendor Lightning: Rekor

    • Assignment of short-term counts to adjustment factor groups, Ioannis Tsapakis, Texas A&M Transportation Institute, Lectern

    • Detecting Anomalous Entries in Vehicle Class Data, Filmon Habtemichael, Battelle Memorial Institute, Lectern

    • Workflow Model and Efficient Quality Control for Short-Count Data Processing, Andrew Haynes, New York DOT, Lectern

    • Student Lightning: Who Responds to Travel Surveys? Yangden Lama, University of Idaho

  • Track 4: Connectivity - From Intersections to Network Criticality to Performance Measures (Moderator: Vicky Calderon)

    • Vendor Lightning: Leetron Vision

    • Innovative Intersections and Intersection Evaluation Processes in North Carolina, Michael P. Reese, PE, CPM, North Carolina Department of Transportation Mobility and Safety Division, Lectern

    • Measuring Network Criticality for Highway Project Prioritization, Mei Chen, University of Kentucky, Lectern

    • A Holistic Accessibility Measure for Modern Times: The Mobility Energy Productivity Metric, Stanley E. Young, NREL, Lectern

    • Student Lightning:  How Smart Mobility will Impact Travel for Underserved Population: Opportunities and Challenges, Marwa Elsayed, University of Idaho

  • Demo: Micromobility, Congestion, Parking, and Dashboards (Moderator: Margaret Pridmore)

    • Platform for visualizing pedestrian data from traffic signals, Patrick Singleton, Utah State University, Demo

    • The Texas Bicycle and Pedestrian Exchange: Leveraging Data Visualization to Better Use Nonmotorized Data, Phil Lasley, Texas A&M Transportation Institute, Demo

    • Congestion Monitoring and Planning Tools on Linear Reference Systems, L.D. White, Texas A&M Transportation Institute (TTI), Demo

    • Truck Parking Visualization Tools, Brittney Gick, Texas A&M Transportation Institute (TTI), Demo

    • An Online Dashboard for Automatic ATR and Classification Data Processing and Volume Factors Update, Eugene Boasiako Antwi, Kentucky Transportation Center, Demo

  • Vendor Reception: 6:00pm- - 7:30pm

Tuesday, June 4

• 7:00am - 8:15am Breakfast

• 7:30am - 8:00am (Special Session)

  • E-Bike and E-Scooter Data Collection, FHWA (Moderator: Steven Jessberger)

• 8:30am - 10:00am

  • Track 1: Multimodal Considerations (Moderator: Jenna Sinclair)

    • Multi Modal Trip Reductions Rates in Local Municipalities, Daniel Coble, PE, ITRE @ NCSU, Lectern

    • Capturing Railroad Trespassing from Static Locations Using Thermal Cameras, Chris Vaughan, ITRE at NCSU, Lectern

    • The National Bicycle Network Portal, Shuqing Wang, FHWA, Lightning

  • Track 2: Traffic Congestion and Traffic Monitoring Data (Moderator: Sean Diehl)

    • Vendor Lightning: Q-Free

    • Congestion Prediction Using CV Data and Innovations in Machine Learning for Traffic Analysis: The Chesapeake Bay Bridge Queue Detection and Prediction Web Application, Michael Pack and Nikola Invanov, CATT Lab - University of Maryland, Lectern

    • Estimate Arterial Free-Flow Speed using Probe Datasets, Chien-Lun Lan and Mo Zhao, Virginia DOT, Lectern

  • Track 3: IVR and ITS Data Types (Moderator: Ahmed Abdel-Rahim)

    • Vendor Lightning: Metrocount

    • Lessons Learned from Data integration from ITS devices, Simon Peralta, Oregon DOT, Lectern

    • Individual Vehicle Records (IVR) lots of benefits with the right approach, Michael Deamer, Synergy Systems & Services, Inc, Lectern

    • Implementing ITS data in the Texas Statewide Traffic Monitoring Program , Laura Dablain, Texas DOT and Shawn Turner, TTI Supporting TxDOT, Lightning

  • Track 4: State Perspectives on Local Road AADT Estimation (Moderator: Ashley Hunter Mason)

    • Local Road AADT and VMT Estimation - Florida DOT, Rafael Almario, Cambridge Systematics, Lectern

    • Reconciling Traditional AVMT Calculations with Travel-Demand AVMT Modeling: An Idaho Case Study, David Coladner and Margaret Pridmore, Idaho Transportation Department, Lectern

    • ITD's Journey Toward Local Road AADT Estimation, Vicky Calderon, Idaho Transportation Department, Lectern

• 10:00am - 10:30am

  • Networking

• 10:30am - Noon

  • Track 1: Checking Once, Checking Twice - Getting Accurate Nonmotorized Counts (Moderator: Elizabeth Stolz)

    • Enhancing Accuracy and Reliability of Bike and Pedestrian Traffic Data: A Comprehensive Validation Approach for Automated Trail Counters, Vahid Bakhshi, Virginia Polytechnic Institute and State University, Lectern

    • Counting Quality: Lessons in Non-Motorized Count Data Quality Control, Mason Cantu, Texas A&M Transportation Institute, Lectern

    • Data Checks for Bicycle and Pedestrian Counts, Krista Nordback, University of California, Berkeley, Lectern

    • Student Lightning: AI for Traffic Safety Analysis and Prediction: Data Needs, Sarah Palmer, University of Idaho

  • Track 2: The Importance of Data QA/QC (Moderator: AJ Nedzesky)

    • Comparing Connected Vehicle Data Accuracy to Optical Traffic Sensors: What's the Truth on the Ground (or in the roadway)?, Chris Kadoch, Rekor, Lectern

    • Extracting Business intelligence, creating a clearer picture for decision makers and analyst alike, Abhay Nigam, Synergy Systems & Services, Inc, Lectern

    • Analyzing data quality of passively-collected mobile device data for trip-level error detection, Peiqi Zhang, University of Maryland, Lectern

    • Student Lightning:  Modeling the Resilience: An Integrated Area-based and Link-Based Framework, Hazem Aboutaleb, University of Idaho

  • Track 3: Non-Traditional Counts (Moderator: Tianjia Tang)

    • Student Lightning: Smart and Cooperative Truck Parking Monitoring and Calibration System Empowered by Machine Learning, Nutvara Jantarathaneewat, University of Washington

    • Initial Results of the Volume Validation for the Eastern Transportation Coalition's Transportation Data Marketplace , Stanley Young, NREL, Lectern

    • Validation of Estimated Annual Average Daily Traffic (AADT) for Non-Traditional Data Sources, Bob Krile, Battelle Memorial Institute, Lectern

    • Student Lightning: Automated Traffic Sign Condition Assessment Using Computer Vision and Deep Learning, Shucheng Zhang, University of Washington, Student Lightning

  • Demo: GIS and Modeling (Moderator: Margaret Pridmore)

    • Pathways for Planning: An Interactive Mapping and Data Analysis Tool, Sreehari Kottoor Madam, Virginia DOT, Demo

    • Demonstrating the Features of FHWA's New FAF and VIUS Data Visualizations, Phil Lasley, Texas A&M Transportation Institute, Demo

    • NREL OpenPATH: In-app Dashboard to Motivating Mode Choice, Abigail Wheelis, NREL, Demo

    • Utilizing Transportation Data to Tell a Story, Brian Crowley, COMPASS, Demo

• Noon - 1:30pm

  • Lunch Provided

• 1:30pm - 3:00pm

  • Track 2: Living with Performance Measures (Moderator: David Winter)

    • Obtaining Arterial Traffic Performance Measure using Existing Traffic Data and Detection, Xiaofeng Li, University of Hawaii, Lectern

    • Remote Monitoring of Traffic & Structural Health of Bridges for Emergency Management & Performance Evaluation , Tariq Lamei Mohamed, University of Idaho, Lectern

    • Sailing in an Ocean of Data: A Texas Perspective, Ben McCulloch, Texas DOT, Lectern

    • Student Lightning:  Computer Vision as a TOOL for Traffic Monitoring at Intersections, Matthew Thompson, University of Idaho

  • Track 3: New Initiatives (Moderator: Adam Hlasny)

    • Data Innovations at TxDOT, Shawn Turner, TTI Supporting TxDOT, Lightning

    • Data Collection at Roundabouts: Challenges and Options in 2024, Arthur J. Penn, P.E., Gewalt Hamilton Associates, Inc, Lectern

    • Applications of Enterprise GIS for Transportation (AEGIST) Pooled Fund Study Member States Work Status, Joseph Hausman, FHWA, Lectern

    • Student Lightning: Low-Cost Internet of Things Sensors to Support Avalanche Monitoring Programs, Yifan Ling, University of Washington

  • Track 4: State Perspectives on De-Silo'ing Data in the DOT (Moderator: Jenna Sinclair)

    • PennDOT HPMS Mobile Application, Mike Ballinger, Pennsylvania DOT, Lectern

    • Delivering Statewide Traffic Data to HPMS, Daniel Smith, Texas DOT, Lectern

    • A Gamechanger- MS2's Publication Database Use Cases, Jess Helmlinger, MS2, Lectern

    • Student Lightning: Zero-Shot Learning Based on Non-Motorized Vehicles Perception Using a Surveillance System, Sruangsaeng Chaikasetsin, University of Washington

  • Poster: Micromobility, Classification, and IVR

    • Identifying and Quantifying the Causes of Congestion for States, Counties and Corridors Throughout the US, Michael Pack and Nikola Invanov, CATT Lab - University of Maryland, Poster

    • Advantages of Individual Vehicle Record (IVR) Data , Steven Jessberger, FHWA, Poster

    • Advanced truck detection by low-cost non-intrusive lidar sensor(s), Subhadipto Poddar, University of Arkansas, Poster

    • Building a Statewide Non-Motorized Traffic Monitoring Program, Jotan Borms, Florida DOT, Poster

    • Long-Term Stability of Truck Class Distributions, Barbara Ostrom, WSP, Poster

    • Time Series Clustering Methods for Non-Motorized Count Data, Rachael Thompson Panik, Georgia Institute of Technology, Poster

    • Managing NYC’s Data Collection Program, Seth Berman, New York City, Poster

    • Augmenting Vehicle Classification with Image-Based Deep categorization , Will Mills, Rekor, Poster

    • Impact of Free Flow Speed Estimation Method on Performance Measures for Project Prioritization, Chien-Lun Lan, Virginia DOT, Poster

    • Detecting Speeding Hot Spots Using Individual Vehicle Records, Simona Babiceanu, Virginia DOT, Poster

    • Implementation of WIM for Automated Enforcement on the Brooklyn-Queens Expressway, NYC, Dawn Harrison, New York City, Poster (Unattended)

    • I want multimodalism, but no one else does.' Pluralistic ignorance as a silent barrier to multimodal investment, Seth LaJeunesse, University of North Carolina Highway Safety Research Center, Poster (Unattended)

• 3:00pm - 3:15pm

  • Break

• 3:15pm - 4:45pm

  • Track 1: Using Data to Improve Safety for Vulnerable People (Moderator: Eric Katz)

    • Promoting Safer Roads for Vulnerable Road Users with Connected Driver Technology, Dan Porcaro, Michelin, Lectern

    • City Intelligence: How NYC DOT are harnessing AI to better understand street activity, Minco de Boer, Viva, Lectern

    • Student Lightning: Travel Impact on Heat Islands in Urban Areas  and Possible Counter Measures, Shrawan Basnet, University of Idaho

  • Track 2: Multimodal Data Perspectives for Traffic Monitoring (Moderator: David Coladner)

    • Investigation of Technology to allow the tracking of wait times and traffic points of origin for users of the Ferry System, Daniel Coble, PE, ITRE @ NCSU, Lectern

    • Bicycle, Pedestrian, and Car Traffic Monitoring using Computer Vision: A comparison of proprietary CV sensors and custom CV development, Michael Lowry, University of Idaho, Lectern

    • Passenger and Truck Tour-Based Trip Identification Algorithm Based On Passively Collected Location Data, Aref Darzi and Yixuan Pan, CATT Lab at University of Maryland, Lectern

    • Student Lightning:  Modeling the Resilience of Multimodal Freight Corridors under Disruptions: A Systematic Review, Tariq Lamei Mohamed, University of Idaho

  • Poster: AI, Video, and Modeling

    • Advanced Roadway Flooding Detection, Mike Vickich, Texas A&M Transportation Institute, Poster

    • HOW ARE THE POST COVID-19 TRAVEL PATTERNS EVOLVING: RESULTS FROM A UNIVERSITY CAMPUS, Maria Bassil, AECOM, Poster (Unattended)

    • Regional Quick Response Model (QRM) Development Using Passive Big Data Sources, Kevin Hall, Texas A&M Transportation Institute, Poster

    • Impact of Connected and Autonomous Vehicles on Work Zone Capacity, Fahmida Rahman, Rowan University, Poster

    • Enhanced machine learning method for AADT estimation, Ali Gorji Sefidmazgi, University of Kentucky, Poster

    • Development of a Prototype of a Mobile Mapping System for Road Asset Data Collection and Evaluation of the Rural Road Network in Thailand, Nutvara Jantarathaneewat, University of Washington, Poster

    • HOV Managed Lanes Vehicle Occupancy Evaluation in the Houston Area, Robert Benz, Texas A&M Transportation Institute, Poster

    • Exploration of Operational Improvements due to Opening of New Express Lanes, Sanhita Lahiri, Virginia DOT, Poster

    • Ongoing use cases of vehicle and LBS probe data at the Bureau of Transportation Statistics, Kyle Titlow, FHWA, Poster

  • Closing Dinner: Jack’s Urban Meeting Place (JUMP) 6pm-8pm

Wednesday, June 5

• 7:00am - 8:15am Breakfast

• 8:30am - 10:30am

  • Track 1: Starting and Reporting a Nonmotorized Count Program (Moderator: Sarah O’Brien)

    • A Toll Authority's Micromobility Strategic Plan Development to Kick-Start a Micromobility Counting Program, Elizabeth Stolz, Marlin Engineering and Anna Quinones, Tampa Hillsborough Expressway Authority, Lectern

    • Bicycle and Pedestrian Counting the Big Picture, Robert Benz, Texas A&M Transportation Institute, Lectern

    • Creation of a Walking and Bicycling Data Collection Toolkit, Jennifer Dill, Portland State University, Lectern

    • Regional Non-Motorized Data Collection Programs: An Evidence-Based Approach to Active Transportation Network Development, Jordan Petrov, Mid-Ohio Regional Planning Commission, Lightning

  • Track 3: Improving Count Programs (Moderator: Lance Johnson)

    • Vendor Lightning: The Traffic Group

    • Cracking the Code: Writing Proposals that Win, John Blair, The Traffic Group, Lectern

    • Assessing the Need for Maturity Models in Traffic Monitoring: Is Further Inquiry Justified? Sean Diehl and Claire Korzekwa, Drakewell, Lectern

    • Determining Seasonal Classification Factor groups using vehicle classification variability, Simon Peralta, Oregon DOT, Lectern

    • AI Video Traffic Classifier Site Selection Considerations, Roy Czinku, Quarterhill, Lectern

  • Track 4: Network Conflation and Signalized Corridor Measures (Moderator: Joseph Hausman)

    • Signalized Performance Measures WITHOUT Hardware, Michael Pack and Nikola Invanov, CATT Lab - University of Maryland, Lectern

    • Integrating Energy into Traffic Signal Performance Metrics, Stan Young and Joe Fish, Lectern

    • Conflating Traffic Message Channel (TMC) and link-based networks with agencies-maintained LRS networks, Eugene Boasiako Antwi, University of Kentucky, Lectern

• 10:30am - 11:00am

  • Networking

• 11:00am - Noon

  • Closing (Moderator: Jenna Sinclair)

    • Dr. Yinhai Wang, PacTrans Director

    • Wrap Up - FHWA

    • Thank you for coming to Boise - ITD and PACTRANS

    • In 2026 We Will See You In….

Track 1: Micromobility, Multimodal and Freight

• Innovations in Micromobility Data Collection

• WIM Data In Motion

• Multimodal Considerations

• Checking Once, Checking Twice - Getting Accurate Nonmotorized Counts

• Using Data to Improve Safety for Vulnerable People

• Starting and Reporting a Nonmotorized Count Program

Track 2: Artificial Intelligence, Performance Measures and Operations in Travel Monitoring

• Using AI for Traffic Monitoring Data

• Modeling Meets Traffic Monitoring Data

• Traffic Congestion and Traffic Monitoring Data

• The Importance of Data QA/QC

• Living with Performance Measures

• Multimodal Data Perspectives for Traffic Monitoring

Track 3: Running a Count Program

• Count Stations

• Counting with AI

• Count Data Processing

• IVR and ITS Data Types

• Non-Traditional Counts

• New Initiatives

• Improving Count Programs

Track 4: Managing the Program for Modeling and Reporting

• COVID-19 Impacts on Travel Behaviors and Modeling

• Travel Time Reliability and Time Measuring

• Connectivity - From Intersections to Network Criticality to Performance Measures

• State Perspectives on Local Road AADT Estimation

• State Perspectives on De-Silo'ing Data in the DOT

• State Perspectives on Spatial Conflation of Third Party Data

• Network Conflation and Signalized Corridor Measures

Poster and Demo Sessions will Showcase Research and Innovation