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A processing method and device for multi-source traffic information fusion

A traffic information and preprocessing technology, applied in the field of information fusion, can solve the problems of inaccurate road condition information, inaccurate fusion value, inaccurate route navigation, etc.

Active Publication Date: 2015-09-23
沈阳世纪高通科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When performing data fusion for license plate intervals, the fusion model used may not be accurate for link intervals, resulting in inaccurate fusion values ​​and inaccurate route navigation provided; when performing data fusion for link intervals, the fusion model adopted The model is not necessarily accurate for the license plate area, resulting in inaccurate road condition information provided
Moreover, in the prior art, only one fusion model is used when performing data fusion on license plate intervals or link intervals, and the obtained fusion values ​​are not accurate enough

Method used

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Embodiment 1

[0028] An embodiment of the present invention provides a processing method for multi-source traffic information fusion, such as figure 1 As shown, the method includes:

[0029] 101. Acquire multi-source data, where the multi-source data includes floating car data and microwave data.

[0030] Fixed detectors on urban expressways include microwave detectors and license plate detectors. There are also moving floating cars on the urban expressway for detecting traffic data.

[0031] Among them, the traffic data obtained by the license plate detector has high precision, but the number of license plate detectors is small, the amount of data obtained is small, and the traffic information that can be reflected is limited. However, for road sections without license plate detectors, if only a single detector is used, such as microwave detection or floating car detectors, the detected data cannot accurately reflect road condition information. Therefore, it is necessary to integrate mu...

Embodiment 2

[0060] An embodiment of the present invention provides a processing method for multi-source traffic information fusion, such as figure 2 As shown, the method includes:

[0061] 201. According to the absence of the first multi-source data and the corresponding filling method, determine corresponding first fusion models for the license plate interval and the link interval respectively.

[0062] Before performing multi-source data fusion, it is first necessary to obtain multiple sets of first multi-source data for each multi-source data missing situation and the corresponding filling method according to the possible data missing of the multi-source data and the filling method used, and according to The plurality of sets of first multi-source data train a fusion model for each type of multi-source data missing situation and corresponding filling method.

[0063] The first multi-source data includes: first floating car data and first microwave data. The missing condition of the ...

Embodiment 3

[0137] An embodiment of the present invention provides a processing device for multi-source traffic information fusion, such as image 3 As shown, the device 30 includes: an acquisition unit 31 , a preprocessing unit 32 , a matching unit 33 , a selection unit 34 , and a fusion unit 35 .

[0138] The acquiring unit 31 is configured to acquire multi-source data, and the multi-source data includes floating car data and microwave data.

[0139] Fixed detectors on urban expressways include microwave detectors and license plate detectors. There are also moving floating cars on the urban expressway for detecting traffic data.

[0140] Among them, the traffic data obtained by the license plate detector has high precision, but the number of license plate detectors is small, the amount of data obtained is small, and the traffic information that can be reflected is limited. However, for road sections without license plate detectors, if only a single detector is used, such as microwave ...

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Abstract

The invention discloses a processing method and a device of multisource traffic information fusion so as to enable a link region and a license plate range to obtain accurate fusion value, the fusion value of the license plate range can reflect the road condition of long road sections accurately and provide accurate road condition information, and the fusion value of the link region can reflect the road condition of short road sections accurately and provide accurate route guidance. The method comprises the steps that multisource data are obtained; pre-processing is conducted to the multisource data; the multisource data after pre-processing are respectively matched to the license plate region and the link region; fusion models of the multisource data are respectively chosen for the license plate region and the link region according to data deficiency circumstance of the multisource data and a deficiency supplying method adopted by the multisource data; and data fusion is respectively conducted to the multisource data of the license plate region and the link region according to the obtained fusion models, and therefore fusion value of the license plate region and the link region is obtained. The processing method and the device of the multisource traffic information fusion are applied to information fusion technology.

Description

technical field [0001] The invention relates to information fusion technology, in particular to a processing method and device for multi-source traffic information fusion. Background technique [0002] As the main component of urban road network, expressway plays an extremely important role in urban traffic. Therefore, real-time grasp of comprehensive and accurate road condition and traffic information is the prerequisite for effective control of road network, and it is also to alleviate urban traffic congestion and reduce traffic accidents. key. [0003] In the existing traffic system, different detection equipments are different in many aspects, such as detection parameters, coverage, data accuracy, collection cost, etc. In the actual data collection process, due to the data errors, inconsistencies and missing phenomena caused by the abnormalities of various detectors, the limitations of the information output in the current intelligent transportation system, and the diff...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
Inventor 邱奉翠胡健李建军
Owner 沈阳世纪高通科技有限公司
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