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A traffic area division method based on multi-view fusion

A traffic area and multi-view technology, applied in the field of intelligent transportation, can solve the problems of not being able to fully reflect the traffic travel situation and the single data source of the traffic area division technology

Active Publication Date: 2016-08-24
ENJOYOR COMPANY LIMITED
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Problems solved by technology

[0009] In order to solve the problem that the existing clustering-based traffic area division technology has a single data source and cannot fully reflect the traffic travel situation, the present invention provides a fusion of multi-source data, which is carried out under the constraints of quantitative influencing factors. Cluster analysis, a traffic area division method based on multi-view fusion that comprehensively reflects the traffic situation

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  • A traffic area division method based on multi-view fusion
  • A traffic area division method based on multi-view fusion
  • A traffic area division method based on multi-view fusion

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Embodiment Construction

[0069] The present invention will be further described below in conjunction with the accompanying drawings.

[0070] refer to Figure 1 to Figure 9 , a traffic area division method based on multi-view fusion, comprising the following steps:

[0071] (1) Read the floating car data and perform data preprocessing, the steps are as follows:

[0072] (1.1) Read the floating car data, and judge whether the latitude and longitude data in the floating car data is null or 0. If it is a null value (null) or 0, delete this piece of data; if not, keep this piece of data.

[0073] (1.2) Judging the no-load (0 means empty, 1 means loaded) state of the floating car data, retain the data of the vehicle state changing from 0 to 1 and the vehicle state changing from 1 to 0, and other data are the data of the wrong vehicle state , to delete the wrong vehicle state data.

[0074] (1.3) Determine the duration of the passenger status of the floating vehicle, and delete the data of the floating ...

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Abstract

A method for dividing traffic districts based on multi-view fusion, comprising the following steps: (1) reading floating car data, and performing data preprocessing, sorting floating car data, and extracting the latitude and longitude data of floating cars and storing them as X 1 ;(2) Read the bayonet data, and perform data preprocessing, extract the bayonet latitude and longitude data and store it as X 2 ; (3) Combining the principle of traffic area division, collect natural constraint information and store it as X 3 ; (4) Calculating the constraint matrix, (5) Cluster analysis based on scalable constrained spectrum clustering; (6) Obtaining the final traffic area division scheme according to the clustering results. The present invention provides a method for dividing traffic districts based on multi-view fusion, which integrates multi-source data, conducts cluster analysis under the constraints of quantitative influencing factors, and comprehensively reflects traffic travel conditions.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and relates to a method for dividing traffic areas. Background technique [0002] Traffic districts generally refer to the combination of nodes or links with a certain degree of traffic correlation and traffic similarity. Dividing the coverage area of ​​a city’s traffic network into several traffic districts facilitates the understanding of traffic patterns from a mesoscopic level, thereby contributing to Formulate reasonable traffic management measures. The division of traffic districts can effectively reduce the complexity of urban traffic system control and management, and can directly affect the workload and accuracy of traffic investigation, analysis, and prediction, as well as the success of the entire traffic planning. Therefore, the appropriate traffic area division method has important research and application significance. [0003] The existing traffic area division methods c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06F17/30
Inventor 李建元陈涛吴越张书浆王兴武薛益赵
Owner ENJOYOR COMPANY LIMITED
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