A Method of Maximizing the Capacity of Critical Roads Based on Traffic Flow Prediction

Abstract

The present invention relates to a solution based on Internet of Things, big data information technology, especially deep neural network, by collecting short-term and long-term historical data of road network traffic flow, and using Node2vec to integrate with graph multi-attention neural network (GMAN) The deep learning of the mechanism trains the prediction model and predicts the target road section and node traffic flow state of the road network 30 minutes after the current time point, and compares the green signal of the signal light with real-time intelligent feedback according to the prediction result, so as to achieve accurate current limiting and maximum traffic flow. The purpose of maximizing the traffic capacity of the road network and reducing the congestion and traffic paralysis caused by accidents. From the collection and conversion of traffic data to the adjustment and control of traffic lights, the present invention forms a complete set of methods for maximizing the traffic capacity of key roads, and has been applied and verified in actual engineering to achieve accurate current limiting and maximum excavation of roads. The effect of improving network traffic capacity, reducing congestion and traffic paralysis caused by accidents.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic system operation and safety management control, in particular to a method for maximizing key road traffic capacity based on traffic flow prediction. Background technique [0002] With the rapid growth of car ownership and the diversification and enrichment of travel demand, road traffic flow is showing a migration to the direction of space-time multi-dimensional dynamic development. There are multiple factors such as the surge in road traffic travel demand, the negative impact of bad weather, and the limited service functions of traffic facilities. Under the coupling effect, the traffic capacity and safe operation of the road are greatly challenged, such as: holidays, rush hour, and rain, fog, ice and snow, strong wind and other harsh weather conditions, resulting in the demand for efficient and safe operation of the road and the limitation of traffic facilities. The contradiction betw...

AI Technical Summary

Problems solved by technology

However, this kind of management scheme is relatively extensive. On the one hand, limiting the flow too early or canceling it too late will limit the maximum traffic rate; on the other hand, limiting the flow too late or canceling it too early will cause congestion and paralysis of key roads. It cannot be solved at all. At the same time, the signal duration setting does not take into account the changes in traffic flow on key roads. Information technologies such as big data, artificial intelligence and the Internet of Things, the Internet, and 5G have become important resources and solutions under the background of "new infrastructure". means

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