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
Source PublicationAPPLIED SCIENCES-BASEL
2021-02-01
Volume11Issue:3Pages:14
Corresponding AuthorWu, Huaiyu(huaiyu.wu@ia.ac.cn)
AbstractThe 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.
Keywordurban public transportation cyber-physical-social system advanced public transportation systems big data
DOI10.3390/app11031109
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational Natural Science Foundation of China ; Chinese Guangdong's ST project ; Dongguan's Innovation Talents Project
WOS Research AreaChemistry ; Engineering ; Materials Science ; Physics
WOS SubjectChemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS IDWOS:000614973300001
PublisherMDPI
Sub direction classification人工智能+交通
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/42865
Collection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
Corresponding AuthorWu, Huaiyu
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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