Dynamic traffic flow prediction method based on space-time correlation

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...

AI Technical Summary

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, the prediction accuracy is low

In addition, most methods only make predictions based on time correlation, ignoring the correlation of traffic flow on spatial road segments, making the prediction results inaccurate

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