Microscopic Approach to Analyze the Impact of Lane Change on Road Traffic Noise

In this study, a microscopic road traffic noise model was employed to quantitatively analyze the changes in noise levels that occur when a vehicle changes lanes while driving. In a one-way, four-lane road SUMO simulation, we computed and compared time-series noise levels with or without lane changes, treating target lane and lane-change position as key variables. The results indicate that lane changes can reduce the equivalent noise level by up to approximately 1.3 dB(A) and the maximum noise level by up to about 2.2 dB(A). Moreover, the closer the receiver was located to the road - within 30 m - the greater the noise-level change. In addition, when the lane change was made within 90 m from the receiver, the noise level change could be observed. By incorporating lane-change behavior into microscopic traffic modeling, we anticipate that these findings will contribute to a more precise prediction of real-world noise distributions in urban or highway traffic environments.

Authors

Publication Details

Journal
Transactions of the Korean Society for Noise and Vibration Engineering
Published
2025-06-20
DOI
https://doi.org/10.5050/ksnve.2025.35.3.298
Primary Topic
Noise Effects and Management
Type
article
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article

Microscopic Approach to Analyze the Impact of Lane Change on Road Traffic Noise

Hyoungsoo Kim, Jae Kwan Lee
Transactions of the Korean Society for Noise and Vibration Engineering
Noise Effects and Management
article

Microscopic Approach to Analyze the Impact of Lane Change on Road Traffic Noise

Hyoungsoo Kim, Jae Kwan Lee
article en

Abstract

In this study, a microscopic road traffic noise model was employed to quantitatively analyze the changes in noise levels that occur when a vehicle changes lanes while driving. In a one-way, four-lane road SUMO simulation, we computed and compared time-series noise levels with or without lane changes, treating target lane and lane-change position as key variables. The results indicate that lane changes can reduce the equivalent noise level by up to approximately 1.3 dB(A) and the maximum noise level by up to about 2.2 dB(A). Moreover, the closer the receiver was located to the road - within 30 m - the greater the noise-level change. In addition, when the lane change was made within 90 m from the receiver, the noise level change could be observed. By incorporating lane-change behavior into microscopic traffic modeling, we anticipate that these findings will contribute to a more precise prediction of real-world noise distributions in urban or highway traffic environments.

Transactions of the Korean Society for Noise and Vibration EngineeringVol. 35(3)
Sustainable cities and communities
Openalex Percentile: Top 80%
Noise Effects and Management
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