Dynamic time window intersection scheduling method based on digital twinborn scene and edge cloud

Abstract

The invention discloses a dynamic time window intersection scheduling method based on a digital twinborn scene and an edge cloud, and the method comprises the steps: building the digital twinborn scene of an intersection region, pre-defining a moving track and a potential conflict point of an automatic driving vehicle at an intersection, and carrying out the scheduling control of vehicles passing through the intersection based on a dynamic time window algorithm. The intersection passing rate is effectively improved, and the average waiting time of vehicles at the intersection is greatly shortened.

Description

technical field [0001] The invention belongs to the technical field of traffic management, and in particular relates to a dynamic time window intersection scheduling method based on a digital twin scene. Background technique [0002] At present, traffic congestion is a common problem faced by major cities in China. On February 28, 2020, the National Bureau of Statistics issued the "Statistical Bulletin on National Economic and Social Development in 2019". The number of private cars increased by 21.22 million, of which the number of private cars was 226.35 million, an increase of 19.05 million. The number of civilian cars was 146.44 million, an increase of 11.93 million, of which the number of private cars was 137.01 million, an increase of 11.12 million. The number of cars in our country is still increasing, which will further test the bearing capacity of our country's traffic roads. [0003] The problem of traffic congestion has brought a lot of troubles to people living...

AI Technical Summary

Problems solved by technology

This type of method is expensive to deploy, lacks information exchange between the vehicle and the control system, obtains limited types of information, cannot adapt to complex and changeable traffic environments, and has limited effect on improving traffic efficiency

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