Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI

doi:10.3390/app11031109

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

	Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI
	Xiong, Gang1,2,6 ; Li, Zhishuai1,3 ; Wu, Huaiyu1 ; Chen, Shichao1,4,5 ; Dong, Xisong1 ; Zhu, Fenghua1,2 ; Lv, Yisheng1
发表期刊	APPLIED SCIENCES-BASEL
	2021-02-01
卷号	11 期号:3 页码:14
通讯作者	Wu, Huaiyu(huaiyu.wu@ia.ac.cn)
摘要	The extensive proliferation of urban transit cards and smartphones has witnessed the feasibility of the collection of citywide travel behaviors and the estimation of traffic status in real-time. In this paper, an urban public traffic dynamic network based on the cyber-physical-social system (CPSS-UPTDN) is proposed as a universal framework for advanced public transportation systems, which can optimize the urban public transportation based on big data and AI methods. Firstly, we introduce three modules and two loops which composes of the novel framework. Then, the key technologies in CPSS-UPTDN are studied, especially collecting and analyzing traffic information by big data and AI methods, and a particular implementation of CPSS-UPTDN is discussed, namely the artificial system, computational experiments, and parallel execution (ACP) method. Finally, a case study is performed. The data sources include both traffic congestion data from physical space and cellular data from social space, which can improve the prediction performance for traffic status. Furthermore, the service quality of urban public transportation can be promoted by optimizing the bus dispatching based on the parallel execution in our framework.
关键词	urban public transportation cyber-physical-social system advanced public transportation systems big data
DOI	10.3390/app11031109
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61773381] ; National Natural Science Foundation of China[U1909204] ; National Natural Science Foundation of China[U1811463] ; National Natural Science Foundation of China[61872365] ; Chinese Guangdong's ST project[2019B1515120030] ; Dongguan's Innovation Talents Project
项目资助者	National Natural Science Foundation of China ; Chinese Guangdong's ST project ; Dongguan's Innovation Talents Project
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
WOS类目	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:000614973300001
出版者	MDPI
七大方向——子方向分类	人工智能+交通
引用统计	被引频次：5[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/173211/42865
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	Wu, Huaiyu
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Cloud Comp Ctr, Dongguan 523808, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China 5.Macau Univ Sci & Technol, Collaborat Lab Intelligent Sci & Syst, Macau 999078, Peoples R China 6.Zhongguancun East Rd, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Xiong, Gang,Li, Zhishuai,Wu, Huaiyu,et al. Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI[J]. APPLIED SCIENCES-BASEL,2021,11(3):14.
APA	Xiong, Gang.,Li, Zhishuai.,Wu, Huaiyu.,Chen, Shichao.,Dong, Xisong.,...&Lv, Yisheng.(2021).Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI.APPLIED SCIENCES-BASEL,11(3),14.
MLA	Xiong, Gang,et al."Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI".APPLIED SCIENCES-BASEL 11.3(2021):14.