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Modern Transportation

Modern Transportation (half-yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of transportation building and management. The main focus of the journal is the academic papers and comments of latest transportation engineering, system engineering and road engineering improvement in the fields of nature science, engineering technology, economy and science, report of latest research re... [More] Modern Transportation (half-yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of transportation building and management. The main focus of the journal is the academic papers and comments of latest transportation engineering, system engineering and road engineering improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and seize the transportation technology theory, practice front line, research level and development direction.

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ISSN Print:2327-0713

ISSN Online:2327-1027

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Website: http://www.ivypub.org/mt/

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Paper Infomation

Multi-source Information Fusion for Video Detection in Highway

Full Text(PDF, 403KB)

Author: Jian Wan, Jinzhang Ji, Weifeng Wang, Li Zhang

Abstract: The accuracy and comprehensiveness of road traffic information detecting can be improved by multi-source information fusion. Firstly, this paper takes video detection technology used in multi-source information fusion process as the leading factor to meet the demand of traffic information detecting. Secondly, multi-level fusion with traffic video information on data level, feature level and decision level is studied based on data fusion theory. Lastly, the method multi-source information fusion process of highway which is used for traffic state recognizing and traffic flow detecting is analyzed. This research provides a new method for the design and application of highway and transportation information detecting.

Keywords: Multi-Source Information Fusion; Video Detection Technology; Traffic Characteristics

References:

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