Abstract：In view of the urgent demands for visibility detection, alarm and emergency disposal on highways in China, a monitoring video-based method for highway visibility detection was proposed. In this method, images of fixed-distance reference objects were first extracted from monitoring camera images, and then candidate visibility values were calculated based on greyscale image distortion analysis on these images. The final visibility result was computed by applying data fusion on the candidate visibility values. Based on this method, a visibility detection, alarm and emergency disposal system was developed. By utilizing the calculated visibility values, this system provides support for intelligent transportation tasks, such as visibility alarm, emergency disposal, traffic control, and information publication, both locally and globally. Experimental results show that the average detection error of this method is 13.4%, thus meeting the accuracy and performance requirements of highway visibility detection. Moreover, this method and the corresponding system can fully reuse the monitoring camera electromechanical systems distributed along the highways; therefore they are suitable for application in operation management and efficiency improvement works on highways in China.
THEOFILATOS A, YANNIS G. The review of the effect of the traffic and weather characteristics on road safety[J]. Accident Analysis & Prevention, 2014, 72:244-256.
[3]
赵慧霞,王维国,李泽椿,等. 雾对我国交通运输的不利影响及对策[J]. 气象与环境学报,2010,26(2):58-62.ZHAO Huixia, WANG Weiguo, LI Zechun, et al. Effects of fog on traffic and transportation and the counterm easures in China[J]. Journal Of Met-eorology And Enveronment, 2010, 26(2):58-62.
[4]
ABDEL-ATY M, EKRAM A, HUANG H, et al. A study on crashes related to visibility obstruction due to fog and smoke[J]. Accident Analysis & Prevention, 2011, 43(5):1730-1737.
[5]
关可,亓淑敏,梁佳. 基于数字图像处理技术的高速公路能见度检测[J]. 长安大学学报:自然科学版,2010,30(5):89-92.GUAN Ke, QI Shumin, LIANG Jia.Visibility measurement of highway based on digital image processing technology[J]. Journal of Chang'an University:Natural Science Edition, 2010, 30(5):89-92.
[6]
BABARI R, HAUTIERE N, DUMONT E, et al. A model-driven approach to estimate atmospheric visibility with ordinary cameras[J]. Atmospheric Environment, 2011, 45(30):5316-5324.
[7]
KWON T M. Atmospheric visibility measurements using video cameras:relative visibility[R]. Americas:University of Minnesota Duluth, 2004.
[8]
BABARI R, HAUTIERE N, DUMONT E, et al. Visibility monitoring using conventional roadside cameras[J]. Transportation Research Part C:Emerging Technologies, 2012, 22:17-28.
[9]
WANG J, LIU X, YANG X, et al. Development and evaluation of a new digital photography visio-meter system for automated visibility observation[J]. Atmospheric Environment, 2014, 87:19-25.
[10]
陈文兵,杨建伟,张小磊. 能见度自动化计算方法[J]. 计算机工程与应用,2010,46(30):181-183.CHEN Wenbing, YANG Jianwei, ZHANG Xiaolei. Visibility auto-calculating method[J]. Computer Engineering and Applications, 2010, 46(30):181-183.
[11]
安明伟,陈启美,郭宗良. 基于路况视频的气象能见度检测方法与系统设计[J]. 仪器仪表学报,2010,31(5):1148-1153.AN Mingwei, CHEN Qimei, GUO Zongliang. Visibility dete -ction method and system based on traffic video[J]. Chinese Journal of Scientific Instrument, 2010, 31(5):1148-1153.
[12]
AN M, GUO Z, LI J, et al. Visibility detection based on traffic camera imagery[C]//IEEE:3rd International Conference on Information Sciences and Interaction Sciences(ICIS). Xiamen:IEEE, 2010:411-414.
[13]
韩永,谢晨波,饶瑞中,等. 基于光散射技术的两种能见度探测方法的比较与分析[J]. 红外与激光工程,2006,35(2):173-176.HAN Yong, XIE Chenbo, RAO Ruizhong,et al.Comparison and analysis of two visibility detecting methods based on optical scatter technology[J]. Infrared and Laser Engineering, 2006, 35(2):173-176.
李孟麟,段发阶,欧阳涛,等. 前向散射式能见度测量技术研究[J]. 传感技术学报,2008,21(7):1281-1285.LI Menglin, DUAN Fajie, OUYANG Tao, et al. Research on the foreword scattering visibility detection[J]. Chinese Journal of Sensors and Actuators, 2008, 21(7):1281-1285.
[17]
VAISALA Corporation. PWD10, PWD12, PWD20 and PWD22:present weather and visibility sensors[DB/OL]. (2013-11-15)[2015-03-10]. http://www.vaisala.com.
