Database for Air Quality and Noise Analysis (DANA) Tool and Traffic Noise Model Aide (TNMAide) Development and Testing
Project Information
The Federal Highway Administration (FHWA) has developed two tools to help work with large traffic data sets. The DANA tool is a series of scripts run from a graphical user interface that combines data from travel monitoring analysis system (TMAS), highway performance monitoring system (HPMS), and national performance management research data set (NPMRDS) and produces formatted traffic and metadata suitable for input into the Environmental Protection Agency's motor vehicle emission simulator (MOVES) model and TNMAide. TNMAide is a spreadsheet tool that accepts input data from the DANA tool and predicts the worst noise hour for sound levels: LAeq, one-hour, and predicts LDN. The John A. Volpe National Transportation Systems Center (Volpe Center) was tasked with developing and administering a beta testing protocol for these two tools in order to identify potential bugs and use issues related to installation, data collection, input, processing and output. The Volpe Center will then work to address high-priority issues, update documentation and develop training videos to illustrate the use of the DANA tool and TNMAide.
- 693JJ319N300053
- Planning, Environment, and Realty
- FY 2002-2022 / Planning, Environment, and Realty / Modeling and Analysis Tools
- Analysis, Modeling, and Simulation
- Data and Analysis
- DANA tool (updated scripts and an executable form).
- GitHub repository for staging updates.
- DANA Tool User Guide.
- DANA Tool Factsheet.
- TNMAide Tool.
- TNMAide User Guide.
- DANA Tool and TNMAide training video series.
- Decrease noise and air quality analyst burden for collecting, aggregating, and formatting traffic data for MOVES, TNMAide and TNM.
- More consistent traffic aggregation – results less dependent on analyst methodology – improves equity.
- Improved insight into data gaps.
- Better understanding of the use of new NPMRDS speed data for air and noise.
AMRP = Annual Modal Research Plan