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Traffic cell division method based on multi-angle of 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: 2014-12-24
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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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

The invention discloses a traffic cell division method based on multi-angle of view fusion. The method comprises the steps that (1) probe vehicle data are read and preprocessed, the probe vehicle data are handled, and probe vehicle longitude and latitude data are extracted from the prove vehicle data and stored as X1; (2) bayonet data are read and preprocessed, and bayonet longitude and latitude data are extracted and stored as X2; (3) on the basis of traffic cell division principles, natural constraint information is collected to be stored as X3; (4) a constraint matrix is calculated; (5) spectral clustering analysis is carried out based on flexible constraint; (6) according to a clustering result, a finial traffic cell division scheme is obtained. According to the traffic cell division method based on multi-angle of view fusion, multi-source data fusion is achieved, clustering analysis is carried out under the constraint of quantified influence factors, and transportation conditions are comprehensively reflected.

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...

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Application Information

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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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