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A Method of Urban Road Speed ​​Prediction Based on Spectrum Analysis

A speed prediction and spectrum analysis technology, applied in the research field of intelligent transportation system, can solve the problems of fluctuating time series, inapplicability, large prediction error, etc., to alleviate the impact and improve the prediction accuracy.

Active Publication Date: 2016-08-17
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.

Method used

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  • A Method of Urban Road Speed ​​Prediction Based on Spectrum Analysis
  • A Method of Urban Road Speed ​​Prediction Based on Spectrum Analysis
  • A Method of Urban Road Speed ​​Prediction Based on Spectrum Analysis

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Embodiment Construction

[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 a method for predicting urban road speed based on spectral analysis, comprising: a. collecting vehicle speed data collected by GPS; b. using known data to select road speed model parameters based on spectral analysis; c. predicting according to the model formula Unknown road speed. The invention has relatively few historical data required for training the model, relatively simple operation, and the parameters in the model can be quickly and dynamically adjusted with changes in road sections and time periods, and can be applied to road sections with large traffic flow fluctuations, and are consistent with actual road speed conditions The advantages of better matching improve the accuracy and reliability of prediction.

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 Patents(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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