Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method and system for predicting urban road traffic noise

A technology for road traffic and forecasting methods, applied in the direction of road vehicle traffic control systems, traffic control systems, instruments, etc., can solve the problems of limited scope of application, deviation, low practicability, etc., to improve accuracy, vehicle-road characteristics, etc. Data integrity, the effect of reducing the workload of forecasting

Active Publication Date: 2020-04-28
GEELY AUTOMOBILE INST NINGBO CO LTD +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In actual operation, there are many factors affecting the road, the situation is complicated, and there are many types of vehicle types. The application range of the prediction model in the prior art is limited, and there is a certain degree of deviation between the predicted value and the actual observed value, and the practicability is not high.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and system for predicting urban road traffic noise
  • A method and system for predicting urban road traffic noise
  • A method and system for predicting urban road traffic noise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] The present invention provides a method for predicting urban road traffic noise. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although in the flow chart A logical order is shown, but in some cases the steps shown or described may be performed in an order different from that presented here.

[0065] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Take running on a computer terminal as an example, figure 1 It is a hardware structural block diagram of a computer terminal of a method for predicting urban road traffic noise according to an embodiment of the present invention. Such as figure 1 As shown, the computer terminal 100 may include one or more (only one is shown in the figure) processors 102 (the processors 102 may inc...

Embodiment 2

[0131] The present invention also provides an urban road traffic noise prediction system, such as Figure 6 As shown, the specific technical scheme is as follows:

[0132]A system for predicting urban road traffic noise, comprising the following modules:

[0133] The first acquisition module 301 is used to acquire the vehicle noise parameters of each vehicle passing the observation point on the road according to the predetermined time step in the set time window, and record the traffic flow of the observation point;

[0134] An acquisition module 302, configured to query and acquire corresponding vehicle-road noise characteristic data according to the vehicle noise parameters and the pre-acquired road noise parameters of the road;

[0135] Specifically, the vehicle noise parameters include vehicle type and vehicle speed; the road noise parameters include road width and road type.

[0136] A prediction module 303, configured to calculate the predicted value of the transient s...

Embodiment 3

[0156] The invention also provides a storage medium. Optionally, in this embodiment, the above-mentioned storage medium may be used to store program codes executed by a method for predicting urban road traffic noise in the above-mentioned embodiment.

[0157] Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps:

[0158] The first step is to obtain the vehicle noise parameters of each vehicle passing the observation point on the road according to the predetermined time step in the set time window, and record the traffic flow of the observation point;

[0159] The second step is to query and obtain corresponding vehicle-road noise characteristic data according to the vehicle noise parameters and the pre-acquired road noise parameters of the road;

[0160] The third step is to calculate the transient sound pressure level prediction value of the observation point at each time point according to the traffic flo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an urban road traffic noise prediction method comprising the following steps: vehicle noise parameters of each vehicle passing by an observation point on a road can be obtainedaccording to a preset period of time in a set time window, a traffic flow of the observation point is recorded, and corresponding vehicle-road noise characteristic data is searched and obtained according to the vehicle noise parameters and pre-obtained road noise parameters of the road; according to the traffic flow and the vehicle-road noise characteristic data, a transient sound pressure levelpredicted value of the observation point at all time points can be calculated, and the transient sound pressure level predicted value can be converted into an equivalent continuous sound pressure level predicted value. The invention also discloses an urban road traffic noise prediction system. The urban road traffic noise prediction method and system are suitable for predicting noise of all kindsof urban roads, high prediction precision can be realized, and reliable decision bases can be provided for urban planning and land planning.

Description

technical field [0001] The invention relates to the technical field of urban road traffic noise management, in particular to a method and system for predicting urban road traffic noise. Background technique [0002] Road traffic noise refers to the overall comprehensive noise of the road generated by various motor vehicles in the process of driving, and is an important part of urban noise. In order to reduce urban noise pollution, it is necessary to analyze the fluctuation law and development trend of urban road traffic noise, make accurate and reliable predictions of urban road traffic noise, and realize the effective connection between traffic planning and urban planning. [0003] The existing road traffic noise prediction models include the road traffic noise prediction model proposed by the Road Traffic Committee of the Acoustical Society of Japan, the highway traffic noise prediction model (FHWA model) proposed by the Federal Highway Administration of the United States,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/015G08G1/065
CPCG08G1/015G08G1/065
Inventor 毛杰朱凌
Owner GEELY AUTOMOBILE INST NINGBO CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com