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Data fusion processing method for dynamic time granularity of multiple traffic detection sources

A dynamic time and traffic detection technology, applied in the field of urban traffic data analysis, can solve problems such as time-consuming and storage space

Inactive Publication Date: 2016-02-24
JILIN UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to overcome the shortage of time-consuming and storage space caused by fixed time granularity in data fusion, the present invention provides a data fusion processing method with dynamic time granularity of multiple traffic detection sources

Method used

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  • Data fusion processing method for dynamic time granularity of multiple traffic detection sources
  • Data fusion processing method for dynamic time granularity of multiple traffic detection sources
  • Data fusion processing method for dynamic time granularity of multiple traffic detection sources

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Embodiment Construction

[0049] Based on the multi-source ground-based traffic detector data, the present invention assists traffic participants to participate in the mobile terminal APP dynamic location check-in data, and proposes a road section multi-source traffic data fusion processing method that uses the location check-in data to dynamically determine the time granularity. The technical solution of the present invention will be described below in conjunction with the accompanying drawings and implementation examples.

[0050] Such as figure 1 As shown, the process of the embodiment specifically includes the following steps:

[0051] Step 1: Extract the collection time interval of geomagnetic detectors, induction coil detectors and video monitors of the example road section and extract the time base. From the example road section geomagnetic detector (DE537919498), video monitor (DC00004838) and induction loop detector (COIL1518017) in the time period [t s , t e ], the historical data time int...

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Abstract

The invention discloses a data fusion processing method for the dynamic time granularity of multiple traffic detection sources, and belongs to the technical field of urban traffic data analysis. The method comprises the following steps: detecting the data acquisition time interval to extract a time base; loading space information for detection data, and generalizing the data structure of traffic data; evaluating the data correlation degree, equipment data accuracy and environment influence degree of each detection source to obtain the credibility coefficient of the detection source; obtaining the time granularity application requirement based on dynamic changing and updating of location check-in data of a mobile terminal in a detection area; and carrying out traffic parameter fusion of the multiple detection sources according to the application requirement and the credibility of the detection sources. According to the invention, urban traffic data processing based on the traffic data acquired by a basic sensor and the location check-in data of the mobile terminal is in line with the development trend of big data, and the rate of dynamic data fusion according to the change of time granularity is effectively improved. The method has the advantages of quick operation getting and storage redundancy reduction.

Description

technical field [0001] The invention belongs to the technical field of urban traffic data analysis, and in particular relates to a data fusion processing method with dynamic time granularity of multiple traffic detection sources. Background technique [0002] With the rise of smart cities, the mode of real-time data collection by various road sensors such as geomagnetic vehicle detectors, induction coils, and traffic flow radars has gradually become popular. On the other hand, with the continuous enhancement of data collection and data storage capabilities, especially the popularity of personal mobile terminals and the gradual increase in users of mobile terminal clients such as Weibo and WeChat, the mobile terminal positioning technology provides a large amount of data for traffic data collection. data source. Under the promotion of these two technologies, the data space under the joint interweaving of new traffic data collection mode and traditional data collection mode l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104G08G1/012
Inventor 于德新邢雪林赐云张伟杨庆芳周户星王薇郑黎黎田秀娟
Owner JILIN UNIV
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