The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 23, 2024

Filed:

Jan. 24, 2022
Applicant:

Shanghai Maritime University, Shanghai, CN;

Inventors:

Guangnian Xiao, Shanghai, CN;

Yu Xiao, Shanghai, CN;

Xianhua Wu, Shanghai, CN;

Bangping Gu, Shanghai, CN;

Ruinan Wang, Shanghai, CN;

Qiongwen Lu, Shanghai, CN;

Zihao Wang, Shanghai, CN;

Qing'an Cui, Shanghai, CN;

Jungang Shao, Shanghai, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 4/029 (2018.01); G06F 18/2431 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
H04W 4/029 (2018.02); G06F 18/2431 (2023.01); G06N 3/04 (2013.01);
Abstract

The present invention discloses a method for identifying travel classification based on smartphone travel surveys. The method takes individual volunteers as the object, GPS information collected by smartphones and instant recall verification features of respondents as the data source. First, travel features, individual features, and family features are determined by GPS data and questionnaire information of volunteers. Then, a training data set is determined by the equal proportion method. Finally, an artificial neural network combined with a particle swarm optimization algorithm is used to detect travel classification from the survey data. The method described in the invention can realize automatic identification of six travel classifications. It is conducive to replace the traditional resident travel survey with the advanced survey method under the environment of big data. At the same time, it provides data foundation for urban management and planning.


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