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. Local agencies provide important traffic data to MDOT. Leveraging MS2's agency-to-agency tool, MDOT has incorporated a large proportion of their local agency data into MDOT’s TDMS system.
Edward Potter, Michigan DOT
12:45 PM – 1:15 PM
Paperless, Automated Field Work Management North Carolina DOT automated the process used to manage fieldwork for the collection of traffic counts. The new system replaces all paper used in the field and automates many manual tasks, manages data collection in a high productivity environment, and eliminates many sources of error through automation. This truly paperless solution manages all aspects of scheduling, collecting, and capturing traffic count data in an efficient manner.
Jamie Viera, North Carolina DOT
1:15 PM – 1:45 PM
1:45 PM – 2:45 PM
Tips and Tricks: How to use our software to your best advantage.
Roundtable Discussion Clients will share their experience using MS2 software, other unique initiatives, challenges with traffic monitoring, etc.
3:45 PM – 4:00 PM
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.