2009 First International Workshop on Database Technology and Applications Study on the Traffic Safety Intelligent Warning Technologies and Methods Based on the Integrated Traffic Safety Data Wuhan, Hubei, China April 25-April 26 ISBN: 978-0-7695-3604-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DBTA.2009.113
In this paper the traffic safety warning technologies and methods are studied deeply based on the macro-forecast and micro-forecast methods. The macro-forecast will realize the traffic safety warning based on the macro-data such as the number of traffic accidents, the death toll and the number of motor vehicles owned and so on. And the micro-forecast is based on the micro-data such as traffic flow volume, speed and density and so on. The paper introduced the integrated forecast method combined with time series method and regression forecast method to realize the macro-traffic safety warning. Moreover the simulation technology is used to realize the micro-traffic safety warning technology. Finally, the feasibility and effectiveness of that method and technology which is presented in this paper are demonstrated by an example.
Index Terms:
traffic safety; intelligent warning technologies and methods; integrated traffic safety data
Citation:
Yin Zhu, "Study on the Traffic Safety Intelligent Warning Technologies and Methods Based on the Integrated Traffic Safety Data," dbta, pp.136-139, 2009 First International Workshop on Database Technology and Applications, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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