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