Parallel traffic prediction method based on data driving

A traffic prediction, data-driven technology, applied in the field of transportation, can solve problems such as environmental pollution, traffic congestion, waste of social resources, social operation efficiency, etc., and achieve the effect of enhancing reliability and reducing demand.

Pending Publication Date: 2020-06-23
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The continuous increase of vehicles and roads makes traffic control more and more complex, and also brings problems such as traffic congestion, traffic accidents, and environmental pollution.
These problems lead to the waste of social resources and the reduction of social operating efficiency

Method used

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  • Parallel traffic prediction method based on data driving
  • Parallel traffic prediction method based on data driving
  • Parallel traffic prediction method based on data driving

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention is described below through specific embodiments shown in the accompanying drawings. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0048] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the structures and / or processing steps that are closely related to the solution according to the present invention are shown in the drawings, while those related to the present invention are omitted. Other details are not relevant to the invention.

[0049] This specific embodiment adopts following technical scheme: its method is as fo...

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Abstract

The invention discloses a parallel traffic prediction method based on data driving, and relates to the technical field of traffic. The prediction method comprises the following steps: step 1, constructing a learning model: integrating all sensor data through a graphical representation method to serve as input of a network so as to realize overall prediction of multi-road traffic data; 2, constructing an artificial system; 3, realizing a parallel traffic prediction system; in order to realize large-scale generation of traffic demands, a graph network is introduced to process time series data ofdifferent road sections into graphs, so that the traffic demands can be quickly generated under the condition of fewer computing resources; the reliability of real data is enhanced through data generated by a parallel system, the requirement degree for the real data in the learning process is reduced, conversion from a macroscopic phenomenon to a microcosmic index is achieved, small data is generated into big data, and small knowledge is extracted from the big data.

Description

technical field [0001] The invention belongs to the technical field of traffic, and in particular relates to a data-driven parallel traffic prediction method. Background technique [0002] The transportation system directly affects all aspects of a country's economy, production and people's lives, and is closely related to everyone. The continuous increase of vehicles and roads makes traffic control more and more complex, and also brings problems such as traffic congestion, traffic accidents, and environmental pollution. These problems lead to the waste of social resources and the reduction of social operating efficiency. Contents of the invention [0003] In order to solve the existing problems; the purpose of the present invention is to provide a data-driven parallel traffic prediction method. [0004] A kind of data-driven parallel traffic prediction method based on the present invention, its prediction method is as follows: [0005] Step 1: Build a learnin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N3/08G06N3/04
CPCG06Q10/04G06Q50/26G06N3/088G06N3/045
Inventor 仲伟峰郭中正
Owner HARBIN UNIV OF SCI & TECH
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