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A Pick-Up Behavior Prediction Method Based on Parent Pick-Up Spatial Model

A technology of spatial patterns and prediction methods, applied in prediction, character and pattern recognition, data processing applications, etc., can solve problems such as the complexity of the travel behavior prediction process and the lack of consideration of the impact of pick-up and drop-off behaviors, so that the prediction process is simple and fast, and the pick-up and drop-off decisions are simplified process, the effect of improving forecast accuracy

Active Publication Date: 2021-11-16
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, the traditional travel behavior prediction process is complex and does not consider the impact of the relationship between home, work and school on pick-up and drop-off behavior

Method used

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  • A Pick-Up Behavior Prediction Method Based on Parent Pick-Up Spatial Model
  • A Pick-Up Behavior Prediction Method Based on Parent Pick-Up Spatial Model
  • A Pick-Up Behavior Prediction Method Based on Parent Pick-Up Spatial Model

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Embodiment Construction

[0035] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0036] The pick-up and drop-off behavior prediction method based on the parent pick-up and drop-off spatial pattern provided by the present invention, such as figure 1 shown, including the following steps:

[0037] Step1. Recognition of pick-up and drop-off behavior

[0038] In the survey log database, the data records with missing items were deleted, and according to the screening principle, the families who had the behavior of picking up and dropping off children on the day of the survey were identified on a family basis, and the eligible picking up families were screened out. Firstly, select the families whose "whether pick up and drop off children" option is...

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Abstract

The invention discloses a pick-up and drop-off behavior prediction method based on the parent pick-up and drop-off spatial model, which includes the following steps: firstly, screen out family samples with pick-up and drop-off behaviors based on the family unit, and extract the information of the station; secondly, use the place of residence, school and The relative distance between two units is used to measure the station position relationship of the pick-up school-home-unit; thirdly, through the cluster analysis of the pick-up school-home-unit relationship, the classification of the pick-up spatial pattern is obtained; finally, For each pick-up space mode, a pick-up behavior prediction model based on structural equations is constructed, and the behavior of parents pick-up and drop-off children under different pick-up space modes is predicted by judging the influence weight between attributes. The invention predicts the pick-up and drop-off behavior of the parents based on the pick-up and drop-off space model, which makes up for the inaccurate prediction caused by the neglect of the activity space relationship in the traditional method, and provides method support for guiding sustainable traffic travel through the residents' daily activity space.

Description

technical field [0001] The invention belongs to the field of travel behavior analysis and prediction in traffic planning, and relates to a pick-up and drop-off behavior prediction method, more specifically, a pick-up and drop-off behavior prediction method based on a parent pick-up and drop-off spatial model. Background technique [0002] In recent years, the continuous increase of children's dependence on family cars for going to school has brought many negative impacts on urban traffic, especially aggravating the congestion in the morning and evening peak hours. Since people's dependence on cars is closely related to their daily activity space, it is a trend in the international community to guide sustainable transportation through residents' daily activity space. In order to promote children's independent activities and guide pick-up and drop-off people's low-carbon travel, it is particularly important to predict pick-up and drop-off behavior from the perspective of pick-...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06K9/62
CPCG06Q10/04G06F18/23213G06F18/241
Inventor 季彦婕刘梦吉刘阳刘攀
Owner SOUTHEAST UNIV
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