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Signal control crossing traffic noise probability prediction method

A technology of signal control and probability prediction, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as prediction, signal control intersection traffic noise and probability distribution, etc., to achieve simple simulation process and calculation Small amount of effect

Inactive Publication Date: 2017-04-19
GUANGDONG POLYTECHNIC NORMAL UNIV +1
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Problems solved by technology

For traffic flow at signalized intersections, it is easier to establish a Monte Carlo simulation process, but so far, no method based on Monte Carlo simulation to predict traffic noise and probability distribution at signalized intersections has been seen.

Method used

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  • Signal control crossing traffic noise probability prediction method
  • Signal control crossing traffic noise probability prediction method

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Embodiment Construction

[0022] The drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0023] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] Such as figure 1 , a method for predicting the probability of traffic noise at signal-controlled intersections. The implementation process is as follows: first use the signal-controlled intersection traffic flow Monte Carlo simulation to obtain a series of parameters such as the number of vehicles, vehicle types, positions and speeds on the road at any point in time Input these data sets into the vehicle ...

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Abstract

The invention discloses a signal control crossing traffic noise probability prediction method based on Monte Carlo simulation. The method is suitable for dynamic simulation calculation of traffic noise at a signal control crossing for a pedestrian to cross a street. A calculation process is as follows: firstly, a Monte Carlo simulator of a traffic flow of a signal control crossing is used to simulate a data set formed by parameters including vehicle numbers, vehicle types, positions and speeds of a road at a series of time points; then the data is input into a vehicle noise discharge probability model, and a vehicle noise source intensity and a position data set are obtained; and finally, with a noise propagation attenuation calculating model combined, noise values of a series of receiving points are obtained, so that the noise probability distribution is obtained through statistics. The method substantially simplifies the process of traffic flow simulation, is simple in modeling and small in computational complexity, and generates accurate and reliable simulation calculation results.

Description

technical field [0001] The invention relates to the field of road traffic noise prediction models and noise dynamic simulation calculations, and more specifically, to a method for predicting the probability of traffic noise at signal-controlled intersections, which can be used to accurately simulate and predict the traffic noise value and probability distribution of signal-controlled intersections. Background technique [0002] While urban road traffic brings convenience to people's lives, it also causes environmental pollution. Among them, traffic noise pollution has become one of the main environmental problems that interfere with people's normal life. It can be seen that traffic noise pollution in major large and medium-sized cities in my country is already very serious at present, which has caused a major impact on people's work, study and rest, and even induces various diseases. With the increase of the number of motor vehicles, the situation of traffic noise pollution ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 李锋蔡铭
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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