Method, device, storage medium and electronic equipment for calculating track frequency

A technology of frequency and trajectory similarity, applied in the field of data processing, can solve problems such as inability to analyze, frequent quantification of moving objects in and out of frequent routes, analysis of moving object behavior, and difficulty in security risk evaluation.
CN109063727BActive Publication Date: 2021-02-05NEUSOFT CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NEUSOFT CORP
Publication Date
2021-02-05

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Abstract

The present disclosure relates to a method, device, storage medium and electronic equipment for calculating track frequency. The method includes: acquiring a set of trajectories of a moving object; performing clustering division based on track similarity for each track in the set of trajectories to obtain track groups, and obtaining the number of trajectories in the set of trajectories that are not similar to any other trajectories , according to the total number of trajectories in the trajectory set is positively correlated with the trajectory frequency, the group number of trajectory groups is negatively correlated with the trajectory frequency, and the number of trajectories that are not similar to any other trajectories is negatively correlated with the trajectory frequency. , can accurately calculate the trajectory frequency of moving objects on the frequent routes represented by these groups, and provide new quantitative indicators for mobile object behavior analysis and safety risk evaluation.
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Description

technical field

[0001] The present disclosure relates to the field of data processing, and in particular, to a method, device, storage medium and electronic equipment for calculating track frequency. Background technique

[0002] With the rapid development of Internet of Things technology, a large amount of travel data of mobile objects has been accumulated. For example, in the field of Internet of Vehicles, a large amount of driving data of users has been accumulated. At present, the user's behavior analysis and safety risk assessment are generally carried out through the travel time, mileage, speed, and road status in the driving data.

[0003] For mobile objects such as private car owners or fleets, with the accumulation of data, the distribution of trajectories will concentrate on certain routes, which can be called frequent routes. The frequency of frequent routes is closely related to the travel rules of mobile objects, and is one of the factors that determine the be...

Claims

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