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

Agenda

While we don’t expect a lot of changes to the following schedule, the following Agenda will not be finalized until it goes to print.

Sunday, June 2

  • 9AM - Noon

    • Ride to NaTMEC

    • Walk to NaTMEC

  • 1:00pm - 2:45pm

    • Workshop: Traffic Monitoring Guide

  • 3:00pm - 5:00pm

    • Workshop: Video AI

  • TBD (Evening)

    • Welcome Reception

Monday, June 3

  • 8:30am - 9:30am: Opening Plenary

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

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

    • 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 1: Using WIM Data to Estimate Tonnage and Automate Enforcement

      • Vendor Lightning

      • Use of Gross Vehicle Weight (GVW) Distributions to Estimate Freight Tonnage and Commodity Type, Syed Haider, Lectern

      • Implementation of WIM for Automated Enforcement on the Brooklyn-Queens Expressway, NYC, Dawn Harrison, Lectern

      • Student Lightning

    • Track 2: Using AI for Traffic Monitoring Data

      • Vendor Lightning

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

      • Comparative Assessment of AI based Vehicle Classification Technologies, Gordon Stuart Thompson, Lectern

      • Student Lightning

    • Track 3: Count Stations

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

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

      • Virtual Count Stations: An Approach to overcome Gap Counts, Gordon Stuart Thompson, Lectern

    • Track 4: COVID-19 Impacts on Travel Behaviors and Modeling

      • Modeling and Forecasting National and State Travel Demand, Don Pickrell, Lectern

      • travel during the pandemic: Results from user survey, Hazem Aboutaleb, Lectern

      • Student Lightning

  • 11:30am - 1:00pm

    • Lunch Provided

  • 1:00pm - 3:00pm

    • Track 1: Innovations in Micromobility Data Collection

      • Vendor Lightning

      • Building a Non-Motorized Data Collection and Monitoring Program: Insights from automated counter data, Olivia White, Lectern

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

      • Data Bike: A New Tool for Micromobility Data Collection, Elizabeth Stolz, Lectern

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

    • Track 2: Modeling Meets Traffic Monitoring Data

      • Vendor Lightning

      • High Fidelity Connected Vehicle (CV) Probe Data – Driving Insights to Origin Destination Travel Patterns, Michael Pack / Nikola Invanov, 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, 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, Lectern

      • Student Lightning

    • Track 3: Counting with AI

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

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

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

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

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

    • Track 4: Travel Time Reliability

      • Vendor Lightning

      • Student Lightning

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

      • Modeling travel time reliability for non-interstate national highway system routes, Chien-Lun Lan, Lectern

      • Student Lightning

  • 3:00pm - 3:15pm

    • Break

  • 3:15pm - 4:45pm

    • Track 1: Monitoring Freight Operations

      • Vendor Lightning

      • Truck Border Crossing Time Measurement System at the U.S./Mexico Border, Brittney Gick, Lectern

      • Forecasting Short Term Truck Parking Demand with Multivariate Time Series and Temporal Fusion Transformers , Jack Kong, Lectern

      • Student Lightning

    • Track 3: Count Data Processing

      • Vendor Lightning

      • Determining Seasonal Classification Factor groups using vehicle classification variability, Don R Crownover, P.E., Lectern

      • Assignment of short-term counts to adjustment factor groups, Ioannis Tsapakis, Lectern

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

      • Student Lightning

    • Track 4: Connectivity - From Intersections to Network Criticality to Performance Measures

      • Vendor Lightning

      • Innovative Intersections and Intersection Evaluation Processes in North Carolina, Michael P. Reese, PE, CPM, Lectern

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

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

      • Student Lightning

    • Demo: Micromobility, Congestion, Parking, and Dashboards

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

      • The Texas Bicycle and Pedestrian Exchange: Leveraging Data Visualization to Better Use Nonmotorized Data, Phil Lasley, Demo

      • Congestion Monitoring and Planning Tools on Linear Reference Systems, L.D. White, Demo

      • Truck Parking Visualization Tools, Brittney Gick, Demo

      • An Online Dashboard for Automatic ATR and Classification Data Processing and Volume Factors Update, Eugene Boasiako Antwi, DemoVend

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

Tuesday, June 4

  • 8:30am - 10:00am

    • Track 1: Multimodal Considerations

      • Vendor Lightning

      • I want multimodalism, but no one else does.' Pluralistic ignorance as a silent barrier to multimodal investment, Seth LaJeunesse, Lectern

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

      • A Geospatial Data Pipeline for the Continued Development of the National Bikeway Network, Ross Wang, Lightning

    • Track 2: Traffic Congestion and Traffic Monitoring Data

      • Vendor Lightning

      • 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 / Nikola Invanov, Lectern

      • Estimate Arterial Free-Flow Speed using Probe Datasets, Chien-Lun Lan, Lectern

      • Data Innovations at TxDOT, Shawn Turner, Lightning

    • Track 3: IVR and ITS Data Types

      • Vendor Lightning

      • Lessons Learned from Data integration from ITS devices, Don R Crownover, P.E., Lectern

      • Individual Vehicle Records (IVR) lots of benefits with the right approach, Michael Deamer , Lectern

      • Implementing ITS data in the Texas Statewide Traffic Monitoring Program , Laura Dablain, Lightning

      • Student Lightning

    • Track 4: State Perspectives on Local Road AADT Estimation

      • Local Road AADT and VMT Estimation - Florida DOT, Praveen Pasumarthy, Lectern

      • Reconciling Traditional AVMT Calculations with Travel-Demand AVMT Modeling: An Idaho Case Study, David Coladner, Lectern

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

  • 10:00am - 10:30am

    • Networking

  • 10:30am - Noon

    • Track 1: Checking Once, Checking Twice - Getting Accurate Nonmotorized Counts

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

      • Counting Quality: Lessons in Non-Motorized Count Data Quality Control, Mason Cantu, Lectern

      • Data Checks for Bicycle and Pedestrian Counts, Amanda Glazer, Lectern

      • Student Lightning

    • Track 2: The Importance of Data QA/QC

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

      • Extracting Business intelligence, creating a clearer picture for decision makers and analyst alike, Abhay Nigam, Lectern

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

      • Student Lightning

    • Track 3: Non-Traditional Counts

      • Estimation of Truck Traffic Volume Using Loop Detector and Crowdsourced Sped Data, Yangsong Gu, Lectern

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

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

      • Student Lightning

    • Demo: GIS and Modeling

      • Using O-D Metrics to Address Post-COVID Travel Patterns, Sri Desikan, Demo

      • Pathways for Planning: An Interactive Mapping and Data Analysis Tool, Jungwook 'JJ' Jun, Demo

      • Demonstrating the Features of FHWA's New FAF and VIUS Data Visualizations, Phil Lasley, Demo

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

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

  • Noon - 1:30pm

    • Lunch Provided

  • 1:30pm - 3:00pm

    • Track 2: Living with Performance Measures

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

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

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

      • Student Lightning

    • Track 3: New Initiatives

      • Vendor Lightning

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

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

      • Data Collection and Travel Demand Modeling: A Collaborative Approach, Jamie Viera, Lightning

    • Track 4: State Perspectives on De-Silo'ing Data in the DOT

      • PennDOT HPMS Mobile Application, Mike Ballinger, Lectern

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

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

      • Student Lightning

    • Poster: Micromobility, Classification, and IVR

      • Constructing a Network for Bicyclist Preferences Analysis Utilizing Crowdsourced Data, Shengxiang Jin, Poster

      • Identifying and Quantifying the Causes of Congestion for States, Counties and Corridors Throughout the US, Michael Pack / Nikola Invanov, Poster

      • Advantages of Individual Vehicle Record (IVR) Data , Steven Jessberger, Poster Advanced truck detection by low-cost non-intrusive lidar sensor(s), Subhadipto Poddar, Poster

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

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

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

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

      • Augmenting Vehicle Classification with Image-Based Deep categorization , vikash srivastava, Poster

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

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

  • 3:00pm - 3:15pm

    • Break

  • 3:15pm - 4:45pm

    • Track 1: Using Data to Improve Safety for Vulnerable People

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

      • Promoting Safer Roads for Vulnerable Road Users with Connected Driver Technology, Samantha Stephan, Lectern

      • City Intelligence: How NYC DOT are harnessing AI to better understand street activity, Ashley Morjaria, Lectern

    • Track 2: Multimodal Data Perspectives for Traffic Monitoring

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

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

      • Passenger and Truck Tour-Based Trip Identification Algorithm Based On Passively Collected Location Data, Aref Darzi, Lectern

      • Student Lightning

    • Track 4: State Perspectives on Spatial Conflation of Third Party Data

      • Vendor Lightning

      • FastConflate: CPU-GPU ACCELERATED PIPELINE FOR SPATIAL CONFLATION OF CONNECTED VEHICLE DATA , YAW ADU-GYAMFI, Lectern

      • Conflating Traffic Message Channel (TMC) and link-based networks with agencies-maintained LRS networks, Xu Zhang, Lectern

      • Student Lightning

    • Poster: AI, Video, and Modeling

      • Advanced Roadway Flooding Detection, Mike Vickich, Poster

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

      • Regional Quick Response Model (QRM) Development Using Passive Big Data Sources, Sujan Sikder, Poster

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

      • Integrating Traffic Data Metrics into Agency Dashboard, Kerry Morrow, Poster

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

      • Evaluation of the accuracy of a video-based vehicle classification system: Canadian perspectives, Tajpreet Singh, Poster

      • Short-term Traffic Volume Prediction on Freeways under Typical and Atypical Conditions using Deep Learning Architectures: A Perspective from Model Evaluation, Hairuilong Zhang, 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, Poster

      • HOV Managed Lanes Vehicle Occupancy Evaluation in the Houston Area, Robert Benz, Poster

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

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

Wednesday, June 5

  • 8:30am - 10:30am

    • Track 1: Starting and Reporting a Nonmotorized Count Program

      • Vendor Lightning

      • A Toll Authority's Micromobility Strategic Plan Development to Kick-Start a Micromobility Counting Program, Elizabeth Stolz, Lectern

      • Bicycle and Pedestrian Counting the Big Picture, Robert Benz, Lectern

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

      • Student Lightning

    • Track 2: Signalized Performance Metrics

      • Student Lightning

      • Signalized Performance Measures WITHOUT Hardware, Michael Pack / Nikola Invanov, Lectern

      • Integrating Energy into Traffic Signal Performance Metrics, Joseph Fish, Lectern

      • Student Lightning

    • Track 3: Improving Count Programs

      • Vendor Lightning

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

      • Workflow Model and Efficient Quality Control for Short-Count Data Processing, Lectern

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

      • Student Lightning

    • Track 4: State Perspectives on Corridor Management and HOV Lanes

      • Student Lightning

      • How effective is the next generation of Integrated Corridor Management? A case study of I-24 smart corridor in Tennessee., Yangsong Gu, Lectern

      • Weekend HOV Operations in the Houston Area, Robert Benz, Lectern

      • Student Lightning

  • 10:30am - 11:00am

    • Networking

  • 11:00am - Noon

    • Closing

      • 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

  • Using WIM Data to Estimate Tonnage and Automate Enforcement

  • Innovations in Micromobility Data Collection

  • Monitoring Freight Operations

  • 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

  • Signalized Performance Metrics

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

  • 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

  • State Perspectives on Corridor Management and HOV Lanes

Poster and Demo Sessions will Showcase Research and Innovation