Modeling real-time human mobility based on mobile phone and transportation data fusion
Huang, Zhiren1; Ling, Ximan1; Wang, Pu1; Zhang, Fan2; Mao, Yingping3; Lin, Tao3; Wang, Fei-Yue4
Source PublicationTRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
ISSN0968-090X
2018-11-01
Volume96Pages:251-269
Corresponding AuthorWang, Pu(wangpu@csu.edu.cn)
AbstractEven though a variety of human mobility models have been recently developed, models that can capture real-time human mobility of urban populations in a sustainable and economical manner are still lacking. Here, we propose a novel human mobility model that combines the advantages of mobile phone signaling data (i.e., comprehensive penetration in a population) and urban transportation data (i.e., continuous collection and high accuracy). Using the proposed human mobility model, travel demands during each 1-h time window were estimated for the city of Shenzhen, China. Significantly, the estimated travel demands not only preserved the distribution of travel demands, but also captured real-time bursts of mobility fluxes during large crowding events. Finally, based on the proposed human mobility model, a predictive model is deployed to predict crowd gatherings that usually cause severe traffic jams.
KeywordHuman mobility Travel demand estimation Big data Data fusion
DOI10.1016/j.trc.2018.09.016
WOS KeywordORIGIN-DESTINATION MATRICES ; SMART CARD DATA ; BIG DATA ; TRAVEL SURVEYS ; PATTERNS ; PREDICTABILITY
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61473320] ; National Natural Science Foundation of China[71871224] ; Project of Innovation-driven Plan in Central South University[2016CSX014] ; Fok Ying Tong Education Foundation[141075] ; Hunan Science and Technology Plan Project[2015RS4011]
Funding OrganizationNational Natural Science Foundation of China ; Project of Innovation-driven Plan in Central South University ; Fok Ying Tong Education Foundation ; Hunan Science and Technology Plan Project
WOS Research AreaTransportation
WOS SubjectTransportation Science & Technology
WOS IDWOS:000449246800015
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22810
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorWang, Pu
Affiliation1.Cent S Univ, Sch Traff & Transportat Engn, Changsha 410000, Hunan, Peoples R China
2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
3.Shenzhen Urban Transport Planning Ctr, Shenzhen 518021, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Huang, Zhiren,Ling, Ximan,Wang, Pu,et al. Modeling real-time human mobility based on mobile phone and transportation data fusion[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2018,96:251-269.
APA Huang, Zhiren.,Ling, Ximan.,Wang, Pu.,Zhang, Fan.,Mao, Yingping.,...&Wang, Fei-Yue.(2018).Modeling real-time human mobility based on mobile phone and transportation data fusion.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,96,251-269.
MLA Huang, Zhiren,et al."Modeling real-time human mobility based on mobile phone and transportation data fusion".TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 96(2018):251-269.
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