Design of Visibility Forecasting System on Freeways Based on the Internet of Things

Article Preview

Abstract:

This paper aims at designing a visibility forecasting system on freeways based on the Internet of Things. Physical processes of fog formation on freeways are explored by the related real data and circulation background fields, and then some characteristics are presented through the forecasting model. The paper introduces the Zigbee protocol into the hardware design of the system, in which the epigenous machines can analyze the received data dynamically.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

406-409

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wu bingui, Xie yiyang, Wu danzhu in: Poor visibility on JingJinTang Expressway in autumn/ winter and relevant measures[J]. Journal of Natural Disasters. 2009(18): 12-17.

Google Scholar

[2] Li lei, Li yibing in: Analysis of Traffic Accident Reconstruction Uncertainty[J]. Journal of Highway and Transportation Research and Development. 2008(24): 140-143.

Google Scholar

[3] Feng xuemin, Gu songshan, Bian guanghui. Study of heavy fog monitoring and warning system for freeway[J]. China Journal of Highway and Transport. 2004(17): 92-97.

Google Scholar

[4] Luo hui, Li liangxu, Hu sheng. The Relationship Between Road Traffic Crashes and Meteorological Condition with Construction of Its Road Weather Warning Model[J]. Journal of Applied Meteorological Science. 2007(18): 350-356.

Google Scholar

[5] Yuan chengsong, Liang jingdong, Jiao sengming. Case Analysis and Explanation of Low Visibility's Thick Fog Observation & NowCast[J]. Meteorological Science, 2007(27): 661-665.

Google Scholar

[6] Xia lina, Xia zhanglong, Zhong yi. Research on Wireless Level Instrument Based on CC2430[J]. Journal of WUHAN University Technology, 2009(31): 83-86.

Google Scholar

[7] Shao beibei. Meets Requirements for Safety-Critical Systems[M]. Beijing: Beijing University of Aeronautics and Astronautics, (2003).

Google Scholar