An IVC-Based Nuclear Emergency Parallel Evacuation System
Tan, Ke1; Yang, Linyao2,3; Liu, Xin1; Xu, Yancai2,4; Lin, Jiazhen1; Wang, Xiao2,4; Wang, Fei-Yue2,4
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
2021-08-01
卷号8期号:4页码:844-855
关键词Computational modeling Planning Optimization Roads Mathematical model Collaboration Power generation ACP intelligent vehicle collaborative system nuclear evacuation optimization parallel intelligence
ISSN号2329-924X
DOI10.1109/TCSS.2021.3063841
通讯作者Wang, Xiao(x.wang@ia.ac.cn)
英文摘要Nuclear emergency evacuation is challenging and dangerous, with time constraints, resource limitations, and radiation exposure risks. The development of the Internet of Things (IoT) and artificial intelligence enables us to build an intelligent evacuation system to help mitigate this problem a great deal. In this article, we design the nuclear emergency parallel evacuation system based on the artificial systems (A), computational experiments (C), and parallel execution (P) approach and intelligent vehicle collaborative systems (IVCs). In this system, the evacuation risks of different regions under various possible scenarios are simulated and evaluated in the artificial systems. With data adversarially generated from the artificial systems and collected from sensors all over the area, an optimization model is proposed to find the optimal evacuation plans for emergent evacuation scenarios in the computational experiments. Eventually, the most suitable running strategy of autonomous buses will be selected and carried out based on the parallel execution in accordance with the real scene. A case study is conducted, and results indicate that the system can serve as an efficient tool for future nuclear emergency evacuation planning.
资助项目National Natural Science Foundation of China[61702519] ; National Natural Science Foundation of China[U1811463] ; National Key Research and Development Program of China[2018AAA0101502] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[2017QNRC001] ; Intel Collaborative Research Institute on Intelligent and Automated Connected Vehicles (ICRI-IACV)
WOS关键词CROWD EVACUATION ; SIMULATION ; OPTIMIZATION ; INTEGRATION ; ALGORITHMS ; SOCIETIES ; MODELS ; RISK
WOS研究方向Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000679531900009
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology ; Intel Collaborative Research Institute on Intelligent and Automated Connected Vehicles (ICRI-IACV)
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/45634]  
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Wang, Xiao
作者单位1.State Key Lab Nucl Power Safety Monitoring Techno, Shenzhen 518108, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Qingdao Acad Intelligent Ind, Qingdao 266000, Peoples R China
推荐引用方式
GB/T 7714
Tan, Ke,Yang, Linyao,Liu, Xin,et al. An IVC-Based Nuclear Emergency Parallel Evacuation System[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021,8(4):844-855.
APA Tan, Ke.,Yang, Linyao.,Liu, Xin.,Xu, Yancai.,Lin, Jiazhen.,...&Wang, Fei-Yue.(2021).An IVC-Based Nuclear Emergency Parallel Evacuation System.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,8(4),844-855.
MLA Tan, Ke,et al."An IVC-Based Nuclear Emergency Parallel Evacuation System".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 8.4(2021):844-855.
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