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Study of traffic flow detection method based on Nearness Degree Data Fusion Technology

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成果类型:
期刊论文、会议论文
作者:
Bin Zheng;Zhengbao Lei;Muxi Lei;Yiheng Liu
通讯作者:
Zheng, B.
作者机构:
[Zhengbao Lei] Engineering Research Center of Catastrophic Prophylaxis and Treatment of the and Traffic Safety, Ministry of Education, Changsha University of Science and Technology, Changsha, Hunan, China
[Bin Zheng] Key Laboratory of Highway Engineering, Ministry of Education, Changsha University of Science and Technology, Changsha, Hunan, China
[Muxi Lei] School of Civil Engineering and Architecture, Ministry of Education, Changsha University of Science and Technology, Changsha, Hunan, China
[Yiheng Liu] Shanghai University of Finance and Economics, Shanghai, China
通讯机构:
Key Laboratory of Highway Engineering, Changsha University of Science and Technology, Ministry of Education, China
语种:
英文
关键词:
Data fusion;Inductance data;Intelligent Transport;Multi-sensor;Video data
年:
2011
页码:
2585-2588
会议名称:
2011 Second International Conference on Mechanic Automation and Control Engineering
会议论文集名称:
2011 Second International Conference on Mechanic Automation and Control Engineering
会议时间:
July 2011
会议地点:
Hohhot
出版者:
IEEE
ISBN:
978-1-4244-9436-1
机构署名:
本校为第一且通讯机构
院系归属:
交通运输工程学院
摘要:
In the traffic information collection, Multi-sensor can be achieved in time and space information complementary. How to extract and process the discrete data effectively, become an important issue on multi-sensor comprehensive information collection. Based on the principle that same traffic conditions lead to similar traffic status, we present a new multi-sensor detection method for traffic flow by applying Nearness Degree Data Fusion Technology. According to the actual traffic measurement background, in the article we also put forward another ...

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