Discover Trip Purposes from Cellular Network Data with Topic Modelling
Xueliang Zhao; Zhishuai Li; Discover Trip Purposes from Cellular Network Data with Topic Modelling; Yisheng Lv
Source PublicationIEEE Intelligent Transportation Systems Magazine
2020
Volume99Issue:1Pages:0-0
Abstract

The widespread use of mobile phones has generated a large amount of individual trajectory data. Such
data can greatly help analyze and understand human daily travel behavior. In this paper, we use the topic modeling
technique to infer trip purposes based on pseudonymized users’ trajectory data from cellular network and points of
interest (POIs) from online map services. The adapted latent Dirichlet allocation method is used to model the trip
generation process and then infer trip purposes behind the data. The experiments are performed on a data set of
27,732 trip records in Beijing on weekdays. Ten topics are discovered. This method can easily infer different trip
purposes based on three trip attributes, i.e., trip departure time, stay duration, and POI categories for destinations,
and most of the topics/trip purposes are explainable.

 

Keywordtrip purpose
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/40597
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Corresponding AuthorYisheng Lv
Recommended Citation
GB/T 7714
Xueliang Zhao,Zhishuai Li,Discover Trip Purposes from Cellular Network Data with Topic Modelling,et al. Discover Trip Purposes from Cellular Network Data with Topic Modelling[J]. IEEE Intelligent Transportation Systems Magazine,2020,99(1):0-0.
APA Xueliang Zhao,Zhishuai Li,Discover Trip Purposes from Cellular Network Data with Topic Modelling,&Yisheng Lv.(2020).Discover Trip Purposes from Cellular Network Data with Topic Modelling.IEEE Intelligent Transportation Systems Magazine,99(1),0-0.
MLA Xueliang Zhao,et al."Discover Trip Purposes from Cellular Network Data with Topic Modelling".IEEE Intelligent Transportation Systems Magazine 99.1(2020):0-0.
Files in This Item:
File Name/Size DocType Version Access License
2020 Zhao_ITSM_Trip (2244KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xueliang Zhao]'s Articles
[Zhishuai Li]'s Articles
[Discover Trip Purposes from Cellular Network Data with Topic Modelling]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xueliang Zhao]'s Articles
[Zhishuai Li]'s Articles
[Discover Trip Purposes from Cellular Network Data with Topic Modelling]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xueliang Zhao]'s Articles
[Zhishuai Li]'s Articles
[Discover Trip Purposes from Cellular Network Data with Topic Modelling]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2020 Zhao_ITSM_Trip Purpose.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.