Intelligent traffic signal lamp

Abstract

The invention provides an intelligent traffic signal lamp which comprises a traffic signal lamp and a prediction apparatus connected to the traffic signal lamp. The prediction apparatus comprises an acquisition module data, a data preprocessing module, a data classification module, a smooothness examination module, a correlation coefficient calculating module, a threshold setting module, a space-time correlation coefficient matrix generation module, a history correlation coefficient matrix generation module, a prediction factor selection module and a prediction model construction module. The prediction precision of the invention is high, and the constructed prediction model has pertinency.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to an intelligent traffic signal lamp. Background technique [0002] Traffic flow refers to the actual number of vehicles passing through a certain section of the road per unit time, which is an important characteristic parameter to describe the traffic state. The change of traffic flow is a real-time, high-dimensional, non-linear, non-stationary random process, and changes in related factors may affect the traffic flow at the next moment. In related technologies, short-term forecasting devices have strong limitations, low forecasting accuracy, real-time forecasting fails to achieve satisfactory results, and fails to provide effective suggestions for people's real-time road choices, so traffic flow forecasting mostly stays in the Medium and long-term forecasting of traffic flow. Contents of the invention [0003] In view of the above problems, the present invention provides an...

AI Technical Summary

Problems solved by technology

In related technologies, short-term forecasting devices have strong limitations, low forecasting accuracy, real-time forecasting fails to achieve satisfactory results, and

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