Related Experiment Video
Updated: Jul 11, 2026
14:55
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
Prediction of noise changes due to traffic speed control
Rufin Makarewicz1, Piotr Kokowski
1Institute of Acoustics, A. Mickiewicz University, 61-614 Poznan, Umultowska 85, Poland. makaaku@amu.edu.pl
The Journal of the Acoustical Society of America
|October 2, 2007
Summary
Vehicle speed variations create both noise decrease and increase zones on roads. Acceleration noise significantly impacts these zones, with boundaries shifting based on emission models and road parameters.
Area of Science:
- Acoustics
- Transportation Engineering
- Environmental Science
Background:
- Road traffic noise is typically studied under steady-state conditions.
- Vehicle speed variations, including acceleration and deceleration, are common but less understood in terms of noise impact.
- Existing models often simplify noise emission during non-steady speed conditions.
Purpose of the Study:
- To analyze the impact of vehicle speed variations (deceleration, cruise, acceleration) on road traffic noise.
- To investigate how ground cover and noise emission models influence noise distribution zones.
- To introduce and define a critical length for cruise segments where noise reduction balances noise growth.
Main Methods:
- Replacing steady speed motion with simulated deceleration, cruise, and acceleration phases.
- Analyzing the resulting noise decrease and increase zones.
- Applying different noise emission models (e.g., Japanese, Polish) to assess parameter sensitivity.
- Introducing and evaluating the concept of critical cruise segment length (L(*)).
Main Results:
- Speed variations create distinct noise decrease and increase zones.
- Acceleration noise is a significant contributor to noise increase zones.
- Zone boundaries are sensitive to noise emission parameters and models, but less so to ground cover.
- A critical cruise segment length (L(*)) is identified, beyond which sound energy decline from deceleration compensates for growth from acceleration.
Conclusions:
- Vehicle speed dynamics significantly alter traffic noise patterns compared to steady speeds.
- Noise emission models and road segment characteristics are crucial for predicting noise variations.
- The findings provide valuable insights for road administrators in managing traffic noise pollution.
Related Concept Videos
01:07Time-Domain Interpretation of PD Control
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
01:22Net Change Theorem
The Net Change Theorem is a fundamental principle in calculus that establishes a direct relationship between a function’s rate of change and its accumulated change over an interval. Mathematically, it states that the definite integral of a function's derivative over a given interval [a,b] yields the net change in the original function:This theorem has significant applications in various real-world scenarios, including physics, economics, and engineering. A particularly useful application is in...
01:30Introduction to Limits
A limit describes the value a function approaches as its input moves closer to a particular point. Even when a function is undefined at a specific value, limits allow us to analyze its behavior near that point. This concept is fundamental in calculus and essential for understanding continuity, derivatives, and integrals.Mathematically, a function f(x) has a limit L at x = a if its values L approach x as x gets arbitrarily close to a. This is written as:This notation expresses that the function...
01:24Frequency-Domain Interpretation of PD Control
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the system's...
The proportional control gain, combined with the system's...
01:26PD Controller: Design
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
01:18Application of Rates of Change
The movement of a car along a highway can be examined through key principles of calculus and kinematics. As the car travels, its position varies over time and can be represented mathematically as a function of time. Analyzing the rate of these changes enables the measurement of velocity and acceleration, fundamental aspects of motion analysis.Velocity describes how position changes over time. The average velocity during a specific time interval is calculated by dividing the change in position...