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RESEARCH ON ROAD TRAFFIC SITUATION AWARENESS SYSTEM BASED ON IMAGE BIG DATA

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成果类型:
期刊论文
作者:
Zhu, Qing*
通讯作者:
Zhu, Qing
作者机构:
[Zhu, Qing] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Peoples R China.
通讯机构:
[Zhu, Qing] H
Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Peoples R China.
语种:
英文
关键词:
Human computer interaction;Convolutional neural networks;Computational modeling;Task analysis;Big Data;Biological neural networks;convolutional neural network;database;road traffic;situational awarenesss
期刊:
IEEE Intelligent Systems
ISSN:
1541-1672
年:
2020
卷:
35
期:
1
页码:
18-26
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
Road traffic is an important component of the national economy and social life. Promoting intelligent and Informa ionization construction in the field of road traffic is conducive to the construction of smart cities and the formulation of macro strategies and construction plans for urban traffic development. Aiming at the shortcomings of the current road traffic system, this article, on the basis of combining convolution neural network, situational awareness technology, database and other technologies, takes the road traffic situational awareness system as the research object, and analyzes the...

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