Road shoulder-based road traffic noise source intensity prediction method

A road traffic and noise source technology, applied in the traffic control system of road vehicles, traffic flow detection, prediction, etc., can solve the problem of inability to accurately predict the value of road noise source

Pending Publication Date: 2021-02-19
天津市交通科学研究院 +1
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a shoulder-based road traffic noise source intensity prediction method to solve the problem that the existing technical solutions cannot accurately predict the road noise source intensity value

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0011] Taking a certain road section in Xiaxinkou Village, Tianjin, Rongwu Expressway as the target road section, the monitoring time is 20 minutes, the traffic flow during the monitoring time period is 770 vehicles / hour, and the proportion of large vehicles is Y 1 is 0.31, medium-sized car ratio Y 2 0.12, L Aeq =alogV+blnN+cY 1 +dY 2 +e, the values ​​of a, b, c, d, and e in the formula are 20.5, 3.4, 10, 8, and 10.3 respectively, and the average speed of the vehicle is 108 km / h, then calculate L Aeq is 78.7, the monitored equivalent continuous A sound pressure level is 77.9dB(A), and the difference between the predicted value and the monitored value is 0.8dB(A).

Embodiment 2

[0013] Taking a certain road section of Beijing-Fuzhou Line in Tianjin as the target road section, the monitoring time is 20 minutes, the traffic flow during the monitoring time period is 730 vehicles / hour, and the proportion of large vehicles is Y 1 is 0.12, medium-sized car ratio Y 2 0.03, L Aeq =alogV+blnN+cY 1 +dY 2 +e, the values ​​of a, b, c, d, and e in the formula are 22, 4.5, 15, 10, and 11 respectively, and the average speed of the vehicle is 46 km / h, then calculate L Aeq is 79.4, the monitored equivalent continuous A sound pressure level is 78.5dB(A), and the difference between the predicted value and the monitored value is 0.9dB(A).

Embodiment 3

[0015] Taking a road section in downtown Tianjin as the target road section, the monitoring time is 20 minutes, the traffic flow during the monitoring time period is 438 vehicles / hour, and the proportion of large vehicles is Y 1 is 0, medium-sized car ratio Y 2 0.12, L Aeq =alogV+blnN+cY 1 +dY 2 +e, the values ​​of a, b, c, d, and e in the formula are 20, 2.5, 8, 3, and 8 respectively, and the average speed of the vehicle is 48 km / h, then calculate L Aeq is 57.2, the monitoring equivalent continuous A sound pressure level is 58.3dB(A), and the difference between the predicted value and the monitored value is -1.1dB(A).

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PUM

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Abstract

The invention relates to the technical field of traffic noise source intensity prediction, particularly to a road shoulder-based road traffic noise source intensity prediction method. The invention aims to solve the problem of large deviation between a predicted value and a monitored value of an existing road noise source intensity prediction model. The invention discloses a road shoulder-based road traffic noise source intensity prediction method, which comprises the following steps of recording flow values and current speed values of various types of vehicles of a target road in a preset time period and proportions of various types of vehicles, and then calculating an average speed value of the various types of vehicles; and substituting the total flow value and the average speed value of various types of vehicles and the proportion value of various types of vehicles into a road noise source intensity prediction model, and calculating to obtain the noise source intensity value of thetarget road. The prediction method can play an important role in environmental influence evaluation, sound barrier design and urban noise map drawing.

Description

technical field [0001] The invention relates to the technical field of traffic noise source intensity prediction, and more specifically, relates to a road shoulder-based road traffic noise source intensity prediction method. Background technique [0002] With the continuous increase in the number of motor vehicles in various places, the problem of road traffic noise has become increasingly prominent. The sound pressure level of road traffic noise is affected by main factors such as vehicle speed, traffic volume, and vehicle type. The sound pressure level of road traffic noise is also related to factors such as road conditions, road slopes, and vehicle types. Large trucks and buses The noise sound pressure level of vehicles is much higher than that of small vehicles, and it is a large source of noise pollution in road traffic noise. As the speed of the vehicle increases, the noise generated by the vehicle also gradually increases. The speed of the vehicle and the flow of tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G08G1/0125G08G1/0137
Inventor 魏如喜王胜强于宏兵马风杰胡海学杜腾飞冀丽娟张珺周婧李源渊夏群悦
Owner 天津市交通科学研究院
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