Modeling real-time human mobility based on mobile phone and transportation data fusion

doi:10.1016/j.trc.2018.09.016

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Modeling real-time human mobility based on mobile phone and transportation data fusion
	Huang, Zhiren 1; Ling, Ximan 1; Wang, Pu 1; Zhang, Fan2 ; Mao, Yingping 3; Lin, Tao 3; Wang, Fei-Yue4
发表期刊	TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
ISSN	0968-090X
	2018-11-01
卷号	96 页码:251-269
通讯作者	Wang, Pu(wangpu@csu.edu.cn)
摘要	Even 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.
关键词	Human mobility Travel demand estimation Big data Data fusion
DOI	10.1016/j.trc.2018.09.016
关键词[WOS]	ORIGIN-DESTINATION MATRICES ; SMART CARD DATA ; BIG DATA ; TRAVEL SURVEYS ; PATTERNS ; PREDICTABILITY
收录类别	SCI
语种	英语
资助项目	National 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] ; National 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]
项目资助者	National 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研究方向	Transportation
WOS类目	Transportation Science & Technology
WOS记录号	WOS:000449246800015
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：89[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/22810
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Pu
作者单位	1.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
推荐引用方式 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.