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Behavior trajectory sequence multi-feature simulation method based on quantum walk

A simulation method and multi-feature technology, applied in the field of quantum mechanics and traffic geography, can solve the problem of less research on behavior trajectory aggregation data

Pending Publication Date: 2021-09-14
NANJING NORMAL UNIVERSITY
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  • Claims
  • Application Information

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Problems solved by technology

Most of the above model methods carry out research work based on the behavior trajectory data itself, and have achieved fruitful research results, but there are few studies on the aggregated data of behavior trajectory

Method used

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  • Behavior trajectory sequence multi-feature simulation method based on quantum walk
  • Behavior trajectory sequence multi-feature simulation method based on quantum walk
  • Behavior trajectory sequence multi-feature simulation method based on quantum walk

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Embodiment Construction

[0039] Such as figure 1 As shown, a multi-feature simulation method for behavior trajectory sequence based on quantum walk includes the following steps:

[0040] (1) Generate a complete set of feature sequences;

[0041] (2) Screening feature sequences;

[0042] (3) Build a feature sequence mapping mechanism;

[0043] (4) Experimental verification.

[0044] In order to meet the basic assumption of quantum walk, the present invention abstracts drivers with the same or similar behavior trajectories as a class of quantized particles, then the movement process of such drivers on different grids can be described as the movement of particles between blocks In the transfer process, a class of behavior trajectories corresponds to a collapse of the quantized particle transfer process. When no observation is applied to the system, the particle will appear in multiple possible blocks with a certain probability, forming the dynamic evolution process of the probability of the particle ...

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Abstract

The invention discloses a behavior trajectory sequence multi-feature simulation method based on quantum walk. The method comprises the following steps: (1) generating a complete set feature sequence; (2) screening a feature sequence; (3) constructing a feature sequence mapping mechanism; (4) executing the experimental verification. According to the method, on the basis of conversion combination characteristics between individual behaviors and group behaviors, the feature structures of similar individuals are simulated from the perspective of multi-scale analysis by utilizing quantum migration, and behavior tracks are simulated.

Description

technical field [0001] The invention relates to the technical fields of quantum mechanics and traffic geography, in particular to a multi-feature simulation method of a behavior trajectory sequence based on quantum walks. Background technique [0002] The development of big data, Internet of Things and precise positioning technology has promoted the progress of urban perception. With the increasing social activities, online car-hailing trajectory data not only records its driving trajectory, but also contains road traffic conditions, urban residents' travel patterns, urban structure and other social issues. The sequence of online car-hailing behavior trajectories is the aggregation result of behavior trajectories at different spatial and temporal scales, reflecting the state or degree of online car-hailing behavior trajectories changing over time at different spatial scales. Most of the current research on behavior trajectories focuses on the feature extraction and feature ...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06N10/00
CPCG06T7/20G06N10/00G06T2207/30241
Inventor 王增杰滕玉浩罗文张悦
Owner NANJING NORMAL UNIVERSITY
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