Urban road speed prediction method based on spectral analysis

A speed prediction and spectrum analysis technology, applied in the field of intelligent transportation system research, can solve problems such as inapplicability, fluctuating time series, and large fluctuation range, so as to improve the accuracy of prediction and alleviate the effect of impact

Active Publication Date: 2014-01-08
HANGZHOU NORMAL UNIVERSITY
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Problems solved by technology

Although these two models can quickly predict unknown data, they are not suitable for time series with large fluctuations.
In the urban road network, the road traffic status has the characteristics of rapid changes and large fluctuation ranges. The above methods cannot reflect these changes in time, resulting in large prediction errors.

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  • Urban road speed prediction method based on spectral analysis
  • Urban road speed prediction method based on spectral analysis
  • Urban road speed prediction method based on spectral analysis

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[0025] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are carried out on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are given, but the protection scope of the present invention is not limited to the following examples.

[0026] The specific implementation steps of this embodiment are as follows:

[0027] Step 1. Collect road speed data using GPS

[0028] 1.1 GPS collects data including collection time, vehicle number, vehicle speed, etc., among which the vehicle speed data is selected as the source data.

[0029] 1.2 Take 40 road sections including Titian Road in Hangzhou City—West Huancheng Road, West Huancheng Road—Baisha Road, Baochu Road—Beishan Road, Baochu Road—Fengqi Road as data collection areas, from 00:00 to 23:00 59 is used as the data collection time period, and th...

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Abstract

The invention relates to an urban road speed prediction method based on spectral analysis. The urban road speed prediction method includes the first step of collecting vehicle speed data collected by a GPS, the second step of selecting road speed model parameters based on the spectral analysis by using given data, and the third step of predicting unknown road speed according to a model formula. The urban road speed prediction method has the advantages that historical data needed by a training model are relatively less, the operation is relatively easy and convenient, and the parameters in the model can be adjusted rapidly and dynamically along with the change of road segments and time frames; the method can be suitable for the road segments with large traffic flow fluctuation and can be well matched with an actual road speed condition, and prediction accuracy and prediction reliability are improved.

Description

technical field [0001] The invention relates to a method for predicting urban road speed based on spectrum analysis, which belongs to the research category of intelligent traffic systems. Background technique [0002] The urban road traffic prediction method obtains the corresponding road traffic status by predicting the road speed of the corresponding road section in a short time range, and uses various channels to release the prediction results to induce drivers and passengers to choose a reasonable travel route, which can relieve traffic congestion. In recent years more and more attention has been paid. [0003] Spectrum analysis is a mathematical method for pattern and scale analysis of spatial data. It can present powerful performance capabilities. Even a single point on the road can effectively express its real traffic conditions, thereby reducing the impact of fluctuations. , which is suitable for analyzing time series with large fluctuations. However, the method of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
Inventor 单振宇孙琼赵丹娜夏莹杰
Owner HANGZHOU NORMAL UNIVERSITY
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