MS2 Local and Regional User Group Virtual Conference

woman looking at computer screen displaying virtual conference attendees

Save the date: Wednesday, September 29, 2021

Network with other MS2 Transportation Data Management System (TDMS) users during our User Group Conference to:

• Share ideas
• Learn best practices and tips
• Discuss managing transportation data and planning efforts

Connect with other experts using MS2’s cloud-based off-the-shelf software and go further with MS2’s leading traffic data analysis and management solution.

Professional Development Hour (PDH) Certification

MS2 will award PDH certificates to attendees upon request.


Schedule of events:

Time (Eastern)  Topic Presenter Register
11:00 AM – 11:15 AM

Welcome and introductions

MS2 Session 1
11:15 AM – 12:15 PM Review new products and features  MS2
12:15 PM  – 12:45 PM

Local Data Sharing

Michigan DOT's non-trunkline federal aid (NTFA) traffic monitoring program relies heavily on local agencies to support MDOT’s data collection efforts. Leveraging MS2's agency-to-agency tool, MDOT has been able to incorporate a large proportion of their local agency data into their TDMS system. Local agencies can also use the feature to obtain data from the state DOT.

Edward Potter

Michigan DOT

12:45 PM – 1:15 PM

Lessons Learned from MS2 TDMS in Florida's 16th Largest County

This presentation is a case study showing how Collier County, Florida is using MS2 TDMS, the real-world challenges they’ve faced, and what they have learned since 2009.

Terri Meyer

Pierre Beauvoir

Collier County, Florida

1:15 PM – 1:45 PM 30-minute Break - -
1:45 PM – 3:00 PM

Roundtable Discussion

Clients will share their experience using MS2 software, other unique initiatives, challenges with traffic monitoring, etc.

All Session 2
3:00 PM – 3:45 PM

Tips and Tricks: How to use our software to your best advantage.

3:45 PM – 4:00 PM 15-minute break - -
4:00 PM – 4:45 PM

Full Network AADT Estimation Using Probe Data - Case Study

High-quality traffic data is critical for transportation planning and traffic operations. Traditional traffic monitoring programs include continuous and short-duration count collection. Due to resource constraints, traffic count coverage has always been insufficient.  With the increasing ratio of probe vehicles in the traffic stream, the number of observed probes can be combined with other data sources (such as roadway characteristics, weather, and temporal information) using machine learning (ML) to produce ubiquitous traffic volume estimates with high accuracy. This presentation will demonstrate the estimation of Annual Average Daily Traffic (AADT) using two approaches. The estimates can be used to supplement the traffic statistics derived from the traditional source. The addition of probe data will bring many benefits to the traffic monitoring programs, including more objective traffic segmentation and more accurate HPMS traffic reporting.

Industry Partners

Session 3

4:45 PM – 5:45 PM What’s on Your Wishlist?



Have questions? Feel free to email Kimberly McDonald Baker, MS2 Director of Business Development, at KMB @

We look forward to talking traffic data with you!