The current study examines the impact of primary influencing variables, such as traffic volume, speed, and distance of receiver from the noise source, on the traffic noise level in the vicinity of road intersections in a mid-sized city. For the study objectives, separate arm analysis is conducted utilizing 342 h of data collected at nineteen intersections in Kanpur, India. For this study, signalized and unsignalized intersections in Kanpur were selected for data collection. However, non-compliance with rules at signalized intersections results in traffic flow characteristics similar to those at unsignalized intersections. The study finds that the entrance arm equivalent noise level and exit arm equivalent noise level increase by 0.306 dBA and 0.210 dBA, respectively, with 1-unit increase in entrance traffic volume. However, the 1-unit increase in exit arm traffic volume causes 0.458 dBA, and 0.488 dBA increments in entrance and exit arm equivalent noise levels, respectively. The speed has a negative impact and causes 0.735 and 0.995 dBA reduction in entrance and exit arm equivalent noise levels, respectively, with a 5 km/h increase in the exit arm stream speed. Distance of receiver from the source is found to have a negative impact on the noise level. The study illustrates that a 1 m increase in the distance between the source and receiver causes 0.423 dBA and 0.439 dBA reduction in entrance and exit arm equivalent noise levels, respectively.

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Traffic Noise at Intersections in Mid-Sized City: Understanding the Effect of Primary Influencing Variables

  • Adarsh Yadav,
  • Manoranjan Parida,
  • Pushpa Choudhary,
  • Brind Kumar

摘要

The current study examines the impact of primary influencing variables, such as traffic volume, speed, and distance of receiver from the noise source, on the traffic noise level in the vicinity of road intersections in a mid-sized city. For the study objectives, separate arm analysis is conducted utilizing 342 h of data collected at nineteen intersections in Kanpur, India. For this study, signalized and unsignalized intersections in Kanpur were selected for data collection. However, non-compliance with rules at signalized intersections results in traffic flow characteristics similar to those at unsignalized intersections. The study finds that the entrance arm equivalent noise level and exit arm equivalent noise level increase by 0.306 dBA and 0.210 dBA, respectively, with 1-unit increase in entrance traffic volume. However, the 1-unit increase in exit arm traffic volume causes 0.458 dBA, and 0.488 dBA increments in entrance and exit arm equivalent noise levels, respectively. The speed has a negative impact and causes 0.735 and 0.995 dBA reduction in entrance and exit arm equivalent noise levels, respectively, with a 5 km/h increase in the exit arm stream speed. Distance of receiver from the source is found to have a negative impact on the noise level. The study illustrates that a 1 m increase in the distance between the source and receiver causes 0.423 dBA and 0.439 dBA reduction in entrance and exit arm equivalent noise levels, respectively.