Vehicle movement pattern mining method based on frequent pattern tree

A technology of frequent pattern tree and motion pattern, applied in the field of intelligent transportation, can solve the problems of slow speed and complicated process, and achieve the effect of providing accuracy and improving accuracy.

Active Publication Date: 2015-09-30
ZHEJIANG UNIV
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[0007] The above methods all need to divide the space in advance, encode the divided subspace, and then convert the

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  • Vehicle movement pattern mining method based on frequent pattern tree
  • Vehicle movement pattern mining method based on frequent pattern tree
  • Vehicle movement pattern mining method based on frequent pattern tree

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Embodiment Construction

[0060] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0061] Such as figure 1 As shown, the vehicle motion pattern mining method based on the frequent pattern tree of the present embodiment includes the following steps:

[0062] (1) Trajectory separation of passenger-carrying trajectories of vehicles to be pattern-mined to obtain several sub-trajectories;

[0063] In this embodiment, the passenger-carrying track of the vehicle is obtained by the following method:

[0064] First obtain the satellite positioning data of the vehicle running within the set time period. The satellite positioning data includes the acquisition time corresponding to the satellite positioning data, the vehicle position and the passenger status; and then position the acquired satellite according to the passenger status of each satellite positioning data. The data is screened, and the corresponding passenger-carrying trajectory is form...

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Abstract

The invention discloses a vehicle movement pattern mining method based on a frequent pattern tree. The method comprises the following steps that 1 pattern mining is to be conducted on vehicles, track separation is conducted on passenger running tracks of the vehicles, and a plurality of sub-running tracks are obtained; 2 line segment clustering is conducted on the sub-running tracks based on euclidean distance, and a plurality of clusters are obtained; 3 the euclidean distance of any two clusters is calculated, and proximity relations of the clusters are determined according to the euclidean distance; 4 the frequent pattern tree is obtained according to the construction of the proximity relation of the clusters. By means of a motion pattern recognition method, space division is not needed to be conducted on the running tracks, coding is not needed to be conducted on track line segments additionally, the method is simpler, and the recognition effect is good.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a vehicle motion pattern mining method based on a frequent pattern tree. Background technique [0002] Nowadays, the term "big data" is becoming more and more popular, and data mining is also becoming more and more popular. In data mining, a very important step is pattern mining. Pattern mining, in short, is to extract regular features from a pile of miscellaneous and disorderly data. [0003] In the field of intelligent transportation, a typical example of pattern mining is to mine the trajectory of the vehicle and extract the frequent trajectory of the vehicle. [0004] Lee A J T, Chen Y A, Ip W C et al. proposed in "Mining frequent trajectory patterns in spatial–temporal databases" (Information Sciences 179.13 (2009): 2218-2231) to divide the entire space into many cells, and then divide all trajectories according to The corresponding spatial cells are co...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 王总辉陈文智潘俊良李川
Owner ZHEJIANG UNIV
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