A method of expressway speed limit and current limit based on deep learning algorithm

Abstract

The present invention provides a speed-limiting and current-limiting method for expressways based on a deep learning algorithm, which can calculate the traffic flow and speed thresholds in line with the road itself according to the actual situation of the road, and the method is simple, convenient to implement, and easy to popularize. In the technical solution of the present invention, for each road to be processed, obtain its proprietary history and real-time road data through the road checkpoint equipment, as a road data sample set; use the historical data of traffic flow to train the traffic flow prediction model, and The real-time data sample set of traffic flow is input into the trained traffic flow prediction model to obtain the predicted traffic flow data corresponding to each road to be processed; then based on the historical road data, a traffic flow state classifier is established to obtain the traffic flow state, According to the fitted relationship diagram of the traffic flow state corresponding to the traffic flow and the congestion probability, the traffic flow threshold and the vehicle speed threshold corresponding to the road to be processed are finally obtained.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic control, in particular to a speed-limiting and current-limiting method for expressways based on a deep learning algorithm. Background technique [0002] In modern traffic control, in order to prevent expressway congestion, the research on expressway speed limit and flow limit method is a common topic in traffic control. The current common speed limit and current limit methods are: [0003] (1) Take 85% of the vehicle speed as the speed limit threshold; [0004] (2) Variable speed limit, speed limit and current limit, that is, the expressway is divided into sections, and the traffic flow speed of each section is controlled based on the traffic flow theory. [0005] However, although the method of taking 85% of the vehicle speed as the speed limit threshold is simple and easy to implement, this threshold selection method does not start from the traffic flow theory, and often does not c...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the existing speed-limiting and current-limiting methods have less consideration for the actual road conditions, or are difficult to implement, so that they lack practicability, the present invention provides a speed-limiting and current-limiting method for expressways based on deep learning algorithms, which can According to the actual situation of the road, the flow and speed thresholds that meet the road itself are calculated, and the method is simple, easy to implement, and easy to promote

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