Dynamic traffic flow prediction method based on space-time correlation

A technology of spatio-temporal association and prediction method, applied in the field of intelligent transportation, can solve problems such as ignoring the correlation of traffic flow, inaccurate prediction results, irregular fluctuation of data flow, etc., and achieve efficient short-term and long-term traffic flow prediction and calculation speed The effect of fast and stable prediction accuracy

Active Publication Date: 2014-09-24
ENJOYOR COMPANY LIMITED
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Problems solved by technology

The above method is simple to operate and easy to calculate, and is suitable for predicting regular data, but for complex road models and irregular fluctuations in data flow caused by unstable traffic flow, th

Method used

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  • Dynamic traffic flow prediction method based on space-time correlation
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  • Dynamic traffic flow prediction method based on space-time correlation

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Embodiment 1

[0036] Embodiment 1: as figure 1 As shown, a dynamic traffic flow prediction method based on spatio-temporal association includes the following steps:

[0037] Step 1: Collect historical traffic flow data and forecast traffic flow data of multiple microwave road sections at daily time points, where the data is short-term traffic flow data every 5 minutes.

[0038] Step 2: Traffic flow microwave data preprocessing.

[0039] 2.1) Data cleaning. If the data is abnormal due to the failure of the data acquisition device or other reasons, it needs to be cleaned. The cleaning rules are as follows:

[0040] When the lane flow rate is greater than 300 within 5 minutes, the data is considered abnormal, and the data is replaced with the average value of the traffic data at that time point in history.

[0041] 2.2) Missing value imputation. Due to the lack of data caused by communication equipment failure and other factors, the missing values ​​need to be interpolated. The imputation ...

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Abstract

The invention relates to the field of intelligent traffic, in particular to a dynamic traffic flow prediction method based on space-time correlation. The method comprises the steps that a space-time matrix is established after traffic flow data are preprocessed, an adjacent local linear reconstitution method is used for training the space-time matrix, a set of adjacent and weight values used for prediction are found out, prediction is conducted after non-negative correction, and at last the space-time matrix is updated through a prediction value. The dynamic traffic flow prediction method based on space-time correlation has the advantages that the adaptability is high, the method is suitable for any microwave detection road section; the feasibility is high, the data can be trained and predicted as long as a historical traffic flow database is given; the calculation speed is high, the complexity is low, and the calculation time is in a second level; the prediction precision is high, the randomness and volatility of dynamic data are removed, and the accuracy and reliability of a prediction result are improved; the prediction efficiency is high, multi-step traffic flow prediction of multiple five-minute time periods can be achieved, and high-efficiency short-time and long-time traffic flow prediction can be achieved.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for predicting dynamic traffic flow based on spatio-temporal correlation. Background technique [0002] With the development of society and economic growth, urban traffic congestion is becoming more and more serious. In order to effectively regulate traffic flow and optimize road use efficiency, intelligent transportation system has become the focus of people's attention, and with the deepening of research, it will gradually become intelligent, dynamic and informatized. As an important part of the intelligent transportation system, the vehicle guidance system has become an effective way for the traffic management department to dredge road traffic, and its key technology is the prediction of road traffic conditions, that is, the effective use of historical traffic data and real-time traffic data to predict road traffic in the future. Dynamic forecasting of traff...

Claims

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Application Information

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IPC IPC(8): G08G1/00G06Q10/04
Inventor 李建元李丹陈涛倪升华王浩
Owner ENJOYOR COMPANY LIMITED
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