Vehicle-road cooperation multi-domain multi-source resource management method based on information availability

Abstract

The invention discloses a vehicle-road cooperation multi-domain multi-source resource management method based on information availability, a medium and equipment, and the method comprises the steps: obtaining the road environment information of a corresponding management region through a road side unit, dividing the road environment information into a plurality of management sub-regions, and calculating the static environment complexity corresponding to each management sub-region; the road side unit obtains vehicle sensing data and position information corresponding to each vehicle; the dynamic environment complexity is calculated, and the traffic complexity is calculated according to the static environment complexity and the dynamic environment complexity; calculating predicted processing completion time of the vehicle sensing data corresponding to each management sub-region, and calculating an information available value corresponding to the management region; and optimizing the information available value through an optimization algorithm so as to determine a resource allocation proportion corresponding to each sub-region according to the optimal information available value. Therefore, the dynamic allocation of the data processing resources is realized, the utilization rate of the data processing resources is improved, and the effective operation of the Internet of Vehicles application is ensured.

Description

technical field [0001] The present invention relates to the technical field of Internet of Vehicles, in particular to a vehicle-road coordination multi-domain and multi-source resource management method based on information availability, a computer-readable storage medium and a computer device. Background technique [0002] The rapid development of artificial intelligence and mobile communication has promoted the revolutionary progress of the Internet of Vehicles technology, so many emerging Internet of Vehicles applications (such as autonomous driving applications, virtual reality applications or digital twins, etc.) that need to obtain information about the surrounding environment of the vehicle have also been born. sensing applications); these applications require real-time transmission and processing of a large amount of high-dimensional multi-modal distributed sensing data. [0003] In related technologies, when data transmission and processing of Internet of Vehicles a...

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Problems solved by technology

[0003] In related technologies, when data transmission and processing of Internet of Vehicles applications are performed, simple quantization and encoding data are mostly obtained according to a preset sampling frequency. In this way, many perceptual information is outdated or useless for in-vehicle applications. , will lead to a serious waste of resources; in addition, due to the limitation of communication bandwidth and computing power, some important sensing data cannot be transmitted and processed in time; resulting in the loss of effective data

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