Review on Visibility Monitoring in Expressway under Foggy Condition

Article Preview

Abstract:

Visibility monitoring under foggy condition is very essential to traffic safety on expressway. The definition and influence factor of visibility are summarized. The main advantages and disadvantages of three common methods- transmission method, scattering method, digital imaging method and related visibility meters are analyzed and compared here. The domestic and foreign status and trends of visibility research on foggy expressway are mainly introduced from thick fog forecast, warning and monitoring system, visibility detection device. Aiming at the existing problems of visibility monitoring in expressway, some suggestions for improvement are put forward at last.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

651-656

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] China Meteorological Bureau. The third parts of ground meteorological observation criterion: Measurement of meteorological visibility[M]. Chinese Standard Press, (2007).

Google Scholar

[2] Fu Gang, Li Xiao-lan, Wei Na. Review on the Atmospheric Visibility Research[J]. Periodical of Ocean University of China, 2009, 05: 855-862.

Google Scholar

[3] Yuan Cheng-song, Bian Guang-hui, Feng Ming-xue. Monitoring and Forecasting of Low Visibility on Highways[J]. Meteorological Monthly, 2003, 11: 36-40.

Google Scholar

[4] Hu Si-tao, Zhu Yan-ru. Study on the influence mechanism of agglomerate fog on expressway traffic safety[J]. Journal of China & Foreign Highway, 2013, 02: 290-292.

Google Scholar

[5] Xing Xiang-nan, Cui Yan-mei, Zhang Fu-gen. Summary of Present Situation and Development Trend of Visibility Measurement Technology[J]. Metrology & Measurement Technology, 2010, 05: 15-20.

Google Scholar

[6] Zhang Wen-Gang. Study in Remote Sensing Monitoring and Physical Characteristics Simulating of Fog[D]. Nanjing University of Information Science &Technol, (2011).

Google Scholar

[7] Li Yong-ju, Zhang Yu-jun, Zhou Yi. DSP-based measurement system for night visibility of embedded digital camera[J]. Modern Electronics Technique, 2012, 13: 119-122.

Google Scholar

[8] Leslie F. Highway Meteorology[M]. Taylor& Francis Books. Inc, (2006).

Google Scholar

[9] S. Bendersky, Norman K,N. Blaunstein. Effects of attenuation of 1. 064-μm optical waves by humid aerosols and fog over horizontal atmospheric communication links[J]. Society of Photo-Optical Instrument Engineers, 2004, 43: 539-552.

DOI: 10.1117/1.1646184

Google Scholar

[10] Nicolas Hautiére, Jean-Philippe Tarel, Jean Lavenant, etc. Automatic fog detection and estimation of visibility distance through use of an onboard camera[J]. Machine Vision and Applications, 2006, 17(1): 8-20.

DOI: 10.1007/s00138-005-0011-1

Google Scholar

[11] Barrales-Guadarrama. R, Mocholi-Salcedo. A, Eodriguez M.E. A NEW FORWARD-SCATTER VISIBILITY SENSOR BASED ON A UNIVERSAL FREQUENCY-TO-DIGITAL CONVERTER[J]. INSTRUMENTATION SCIENCE&TECHNOLOGY, 2013, 40(5): 445-462.

DOI: 10.1080/10739149.2013.780250

Google Scholar

[12] Ye Qing. Method comparison and study about visibility monitoring on road[J]. Journal of Transducer Technology, 2004, 05: 74-76.

Google Scholar

[13] Lai Zhen-jian. Research on Vehicle Visibility Detection and Warning Method on Foggy Day[D]. Jilin: Jilin University, (2013).

Google Scholar

[14] Cheng Shao-rong, Wei Quan-zhong, Lv Ju. The Development of a New Atmosphere Transmittance Meter[J]. Opto-Electronic Engineering, 2011, 02: 144-150.

Google Scholar