VROOM: Nationwide Road Traffic Noise Prediction ID: 2023-028
An innovative MATLAB-based application designed to predict road traffic noise with high temporal and spectral accuracy on a nationwide scale.
Photo by ANTONS JEVTEREVS
Technology Overview
VROOM is a cutting-edge application that leverages MATLAB to offer precise predictions of road traffic noise across the nation, incorporating both temporal variability and spectral content. It uses reported hourly vehicle counts to predict traffic volumes and applies the Traffic Noise Model (TNM) for various vehicle classes to calculate emissions. VROOM addresses the limitations of current national transportation noise maps by providing detailed insights into traffic noise, including the effects of different vehicle types and facilitating real-time noise prediction.
Key Advantages
- High temporal and spectral accuracy in noise prediction
- Real-time noise prediction capabilities
- Ability to process using simple computer systems due to compact data storage
- Customizable parameters for specific times and locations
Problems Addressed
- Addresses the lack of detailed temporal variability and spectral content in existing national transportation noise maps
- Overcomes the challenge of predicting noise for different vehicle classes accurately
- Solves the issue of requiring complex systems for processing and visualization of noise data
Market Applications
- Urban planning and development
- Acoustical consulting services
- Traffic management and control
- Environmental impact assessments
Additional Information
Technology ID: 2023-028
Sell Sheet: Download the Sell Sheet here
Market Analysis: Contact us for a more in-depth market report
Date Published: 28 March, 2025
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