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A construction method of high-speed traffic dataset with spatio-temporal dependence

A construction method and technology of traffic data, applied in the construction of high-speed traffic datasets, can solve the problem of information loss of high-speed traffic data, and achieve the effects of realistic visualization of high-speed traffic, reducing environmental pollution, and improving prediction accuracy.

Active Publication Date: 2022-05-17
浙江高信技术股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that some high-speed traffic data information is lost due to the construction of high-speed traffic data sets that can only be constructed from a single dimension of time or space, and to provide a high-speed data set that is dependent on time and space. Construction Method of Traffic Dataset

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  • A construction method of high-speed traffic dataset with spatio-temporal dependence
  • A construction method of high-speed traffic dataset with spatio-temporal dependence
  • A construction method of high-speed traffic dataset with spatio-temporal dependence

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Embodiment Construction

[0034] The implementation based on the figures will now be further refined. The following description is not intended to limit the embodiments to one preferred embodiment. Rather, it is intended to cover alternatives, modifications and equivalents, which may be included within the spirit and scope of the described embodiments as defined by the appended claims.

[0035] A construction method of high-speed traffic data sets with time-space dependence. Here, the whole process is demonstrated by taking high-speed traffic flow data as an example. High-speed traffic flow data is collected by monitoring points distributed on the expressway, which is a kind of spatio-temporal data. Since the data collected in real time will be lost due to equipment, data transmission and other reasons, this type of data needs to be preprocessed; and then construct a high-speed traffic data set with time-space dependence.

[0036] step combination figure 1 details as follows.

[0037] Step 1: Obtai...

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Abstract

The invention relates to the technical field of data mining, in particular to a method for constructing a high-speed traffic data set with space-time dependence. The steps include acquiring data of monitoring points on different high-speed road sections; Processing; constructing the spatiotemporal dependencies of the processed data; storing the constructed data as graph-structured data as a high-speed traffic dataset. The method constructs a high-speed traffic dataset from both the time dimension and the space dimension to reflect the characteristics of the high-speed traffic data relatively realistically. It is of great significance to improve the model prediction ability and data visualization ability.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to the technical field of data mining of traffic data, and more specifically to a method for constructing a high-speed traffic data set with time-space dependence. Background technique [0002] Traffic data is the basis of application and research in the field of transportation. The traffic data collected by detectors on expressways has the characteristics of multi-source heterogeneity. These data may include: at that moment, the geographical information of the monitoring point, the status information of the monitoring point, traffic data flow data and other weather and hot event data that affect traffic, etc., the above data of the measurement point for a period of time before, and the period before the N days before the measurement point time for the above data. [0003] In the construction process of the current high-speed traffic data set, it is often constructed on...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/901G06F16/909G06F16/29G06Q50/26
CPCG06F16/9024G06F16/909G06F16/29G06Q50/26Y02D10/00
Inventor 王凯宋智鹏杨明金宇邢仲豪王少帅韩健鑫徐涛张帅张世科
Owner 浙江高信技术股份有限公司