The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion

doi:10.1109/ACCESS.2020.3008780

	The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion
	Yan, Gongxing 2; Qin, Qi 1,3
刊名	IEEE ACCESS
	2020
卷号	8 页码:153264-153272
关键词	Edge computing technology intelligent transportation system information physical fusion collaborative optimization
ISSN号	2169-3536
DOI	10.1109/ACCESS.2020.3008780
通讯作者	Qin, Qi(qinqicas@126.com)
英文摘要	Edge computing technology is an important computer operating system in China. It plays a key role in multi-system fusion and intelligent manufacturing, and can play a key role in training and testing of deep neural networks. The purpose of this paper is to study the application of edge computing technology in the collaborative optimization of intelligent transportation systems based on information and physical fusion. This article sets up monitoring points at different traffic intersections, and applies long-term and short-term memory networks to collect data at each traffic intersection. The DBN-SVR method model was used to detect the traffic flow of some intersections, and the edge computer technology was used to process the information signals generated by the intersections. The other portions of the intersections used traditional monitoring systems. By comparing the work efficiency and utility under the two methods, fitting data is performed, and mathematical statistics and mathematical analysis methods are used to verify the fitted data. The experimental data show that the edge computing technology can help the processing of traffic conditions in the intelligent transportation system integrated with information and physics, which has greatly improved the overall work efficiency of each system. Experimental data shows that intelligent transportation systems that integrate edge computing technology with information physics have improved transportation efficiency by about 20% and urban security by about 35%, which has a great effect on building smart cities and safe cities.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030200] ; National Social Science Foundation of China[17VDL016] ; Key Research Program of the Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM-2019-A16]
WOS关键词	IOT ; NETWORKS ; INTERNET
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000564229400001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Social Science Foundation of China ; Key Research Program of the Innovation Academy for Green Manufacture, Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157976]
专题	中国科学院地理科学与资源研究所
通讯作者	Qin, Qi
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Chongqing Vocat Inst Engn, Coll Civil Engn, Chongqing 402260, Peoples R China 3.Chinese Acad Sci, Innovat Acad Green Mfg, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yan, Gongxing,Qin, Qi. The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion[J]. IEEE ACCESS,2020,8:153264-153272.
APA	Yan, Gongxing,&Qin, Qi.(2020).The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion.IEEE ACCESS,8,153264-153272.
MLA	Yan, Gongxing,et al."The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion".IEEE ACCESS 8(2020):153264-153272.