Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation | |
Xiong, Gang2,4; Chen, Xiaoyu3,4; Shuo, Nan1,4; Lv, Yisheng4; Zhu, Fenghua2,4; Qu, Tianci4; Ye, Peijun4 | |
2020-12 | |
会议日期 | 2020-12-5 |
会议地点 | 北京 |
英文摘要 | The integration of signals from physical, social and cyber spaces, known as Cyber-Physical- Social systems (CPSS), is a new research paradigm for urban transportation, where the traffic control and management (C&M) is collaborative optimized among the three sub-systems. Though some technologies and optimization methods have been studied since its proposition, there is a lack of a systemic architecture as well as an overall implementation about how to efficiently exploit the social signals. For this reason, this paper proposes a general framework of CPSS for urban transportation and presents a feasible solution for traffic optimization based on knowledge automation. The specific implementation includes basic modeling of CPSS, knowledge evolution and reasoning, and collaborative optimization of C&P strategies. As a remarkable highlight, the influence of both individual activities and social learning is concerned during knowledge evolution and reasoning part. A case study from the application in the city of Dongguan is also given to validate our proposed framework and methods, showing that they can efficiently improve the average speed of the actual transportation. |
源文献作者 | IFAC ; CAA |
会议录出版者 | Elsevier B.V. |
会议录出版地 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48764] |
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 | Ye, Peijun |
作者单位 | 1.Graduate School of System Design, Tokyo Metropolitan University 2.Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, The Cloud Computing Center, Chinese Academy of Sciences 3.School of Artificial Intelligence, University of Chinese Academy of Sciences 4.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Xiong, Gang,Chen, Xiaoyu,Shuo, Nan,et al. Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation[C]. 见:. 北京. 2020-12-5. |
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