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

文献类型：期刊论文

作者Xiong, Gang1,5,6; Li, Zhishuai3,6; Wu, Huaiyu6; Chen, Shichao2,4,6; Dong, Xisong6; Zhu, Fenghua1,6; Lv, Yisheng6
刊名APPLIED SCIENCES-BASEL
出版日期2021-02-01
卷号11期号:3页码:14
关键词urban public transportation cyber-physical-social system advanced public transportation systems big data
DOI10.3390/app11031109
通讯作者Wu, Huaiyu(huaiyu.wu@ia.ac.cn)
英文摘要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.
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
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
语种英语
WOS记录号WOS:000614973300001
出版者MDPI
资助机构National Natural Science Foundation of China ; Chinese Guangdong's ST project ; Dongguan's Innovation Talents Project
源URL[http://ir.ia.ac.cn/handle/173211/42864]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wu, Huaiyu
作者单位1.Chinese Acad Sci, Cloud Comp Ctr, Dongguan 523808, Peoples R China
2.Macau Univ Sci & Technol, Collaborat Lab Intelligent Sci & Syst, Macau 999078, 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.Zhongguancun East Rd, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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.

入库方式： OAI收割

来源：自动化研究所

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