Social sensing enhanced time estimation for bus service

doi:10.1002/cpe.3369

	Social sensing enhanced time estimation for bus service
	Liu, Jin 1,2; Li, Juan 1; Cui, Xiaohui 3; Niu, Xiaoguang 4; Sun, Xiaoping 1,5; Zhou, Jing 6
	2015-10-01
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN	1532-0626
卷号	27 期号:15 页码:3961-3981
摘要	The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEAs and road condition attributions PRCAs. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEAs of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. Copyright (C) 2015 John Wiley & Sons, Ltd.
关键词	social sensing in-time bus service bus route arrival time estimation
DOI	10.1002/cpe.3369
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61070013] ; National Natural Science Foundation of China[U1135005] ; National Natural Science Foundation of China[41127901-06] ; Engineering Disciplines Planning Project of the Communication University of China[3132014XNG1453] ; Fundamental Research Funds for the Central Universities[2042014kf0272] ; Fundamental Research Funds for the Central Universities[2014211020201] ; Guangxi Key Laboratory of Trusted Software[kx201421] ; Open Fund Project of State Key Laboratory of Software Engineering (Wuhan University, China)[SKLSE2012-09-2] ; National Key Basic Research Program of China '973 Project'[2011CB707106] ; Programme of Introducing Talents of Discipline to Universities[B07037] ; Program for Changjiang Scholars and Innovative Research Team in University[IRT1278] ; National High-Tech Research and Development Program of China '863 Project'[2013AA122301] ; 'Hundred Talents Recruitment Program' of Global Experts of Hubei ; Programme of Introducing Talents of Discipline to Universities (111 Project)[B07037]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000363042100011
出版者	WILEY-BLACKWELL
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9240
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Jin
作者单位	1.Wuhan Univ, Comp Sch, State Key Lab Software Engn, Wuhan 430072, Peoples R China 2.Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China 3.Wuhan Univ, Int Sch Software, Wuhan 430072, Peoples R China 4.Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 6.Commun Univ China, Sch Comp Sci, Hangzhou, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Liu, Jin,Li, Juan,Cui, Xiaohui,et al. Social sensing enhanced time estimation for bus service[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2015,27(15):3961-3981.
APA	Liu, Jin,Li, Juan,Cui, Xiaohui,Niu, Xiaoguang,Sun, Xiaoping,&Zhou, Jing.(2015).Social sensing enhanced time estimation for bus service.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,27(15),3961-3981.
MLA	Liu, Jin,et al."Social sensing enhanced time estimation for bus service".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 27.15(2015):3961-3981.