Trip Purposes Mining From Mobile Signaling Data
Li, Zhishuai1,2; Xiong, Gang2,3; Wei, Zebing1,2; Zhang, Yu4; Zheng, Meng4; Liu, Xiaoli5; Tarkoma, Sasu5; Huang, Min1; Lv, Yisheng1,2; Wu, Chuheng2
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN1524-9050
2021
Volume99Issue:99Pages:13
Abstract

With the widespread application of mobile phones, it has become possible to study human mobility and travel behaviors based on cellular network data. Contrary to call detail records, the data is triggered by mobile cellular signaling and can provide fine-grained information about users' daily routines. However, it does not explicitly provide semantic details about traveling traces, e.g., trip purposes. In this paper, we propose a methodological framework to handle large-scale cellular network data and discover the underlying trip purposes in an unsupervised way. We first devise heuristic rules to identify home/work purposes. Then, a flexible latent Dirichlet allocation (LDA) model is presented to discover the activities for remaining trips, in which each trip is depicted by four attributes, i.e. arrival time, age group, stay duration, and the point of interest tag for the destination. Experimental results show that the proposed method can identify diverse trip purposes by explaining their structures over trip attributes and outperform baselines in terms of log-likelihood and perplexity. We also analyze the difference between the automatically discovered trip purposes and those estimated from household census, and the analyzed results demonstrate the feasibility of our proposed method.

KeywordCellular networks Trajectory Semantics Unsupervised learning Supervised learning Resource management Public transportation Trip purpose inference cellular network data latent Dirichlet allocation travel behavior big data
DOI10.1109/TITS.2021.3121551
WOS KeywordPREDICTION ; DISCOVERY ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2020YFB2104001] ; National Natural Science Foundation of China[U1811463] ; National Natural Science Foundation of China[61903363] ; National Natural Science Foundation of China[61876011] ; National Natural Science Foundation of China[61603381] ; Chinese Guangdong's Science and Technology Project[2019B1515120030]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Chinese Guangdong's Science and Technology Project
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000732146400001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47014
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 AuthorHuang, Min; Lv, Yisheng
Affiliation1.University of Chinese Academy Sciences
2.Institute Automatation, Chinese Academy Sciences
3.Chinese Acad Sci, Cloud Comp Ctr, Dongguan 523808, Peoples R China
4.Beijing Municipal Inst City Planning & Design, Beijing 100045, Peoples R China
5.Univ Helsinki, Dept Comp Sci, Helsinki 00014, Finland
Recommended Citation
GB/T 7714
Li, Zhishuai,Xiong, Gang,Wei, Zebing,et al. Trip Purposes Mining From Mobile Signaling Data[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2021,99(99):13.
APA Li, Zhishuai.,Xiong, Gang.,Wei, Zebing.,Zhang, Yu.,Zheng, Meng.,...&Wu, Chuheng.(2021).Trip Purposes Mining From Mobile Signaling Data.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,99(99),13.
MLA Li, Zhishuai,et al."Trip Purposes Mining From Mobile Signaling Data".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 99.99(2021):13.
Files in This Item: Download All
File Name/Size DocType Version Access License
2021 Trip_Purposes_M(3962KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Zhishuai]'s Articles
[Xiong, Gang]'s Articles
[Wei, Zebing]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Zhishuai]'s Articles
[Xiong, Gang]'s Articles
[Wei, Zebing]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Zhishuai]'s Articles
[Xiong, Gang]'s Articles
[Wei, Zebing]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2021 Trip_Purposes_Mining_From_Mobile_Signaling_Data.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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