A new visibility pre-warning system for the expressway

被引:3
|
作者
Lin, L. [1 ]
Hong, Q. [1 ]
Li, G. [1 ]
Han, X. B. [1 ]
Lu, Steven C-Y [1 ]
Ding, R. [1 ]
机构
[1] Tianjin Univ, Inspiring Technol Res Lab, Tianjin 300072, Peoples R China
关键词
D O I
10.1088/1742-6596/13/1/016
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the most important factors that contribute to traffic accidents on the expressway is the low visibility, which may be caused by local or regional weather status such as agglomerate fog, rain, snow and sandstorm. A pre-warning system would be great help to prevent traffic accidents due to low visibility. Considering some problems of the existing system, such as the limited monitoring area and expensive cost, etc., a new kind of visibility pre-warning system is presented in this paper. The pre-warning system is made up of measuring nodes and communications bus. At the measuring node there is a long-distance photoelectric sensor, which is placed by means of cascade at the middle isolation strip along the expressway. Using the long-distance sensors makes it possible to monitor the visibility status of the whole expressway. CAN bus is used in this system as the communication bus to transmit information about visibility along the expressway. In virtue of the advantages of the CAN bus, a long distance network is constructed to meet the needs of the system, such as real time, reliability and low cost. With this new visibility pre-warning system, the visibility status of the whole expressway can be monitored in time and all day. In this paper, the architectural structure of the system is introduced, and also the detailed designs of the measuring node and hardware connection of the CAN bus communications is described.
引用
收藏
页码:67 / 72
页数:6
相关论文
共 50 条
  • [21] Methods Based on the Bayesian Network for a Construction Accident Pre-Warning System
    Xu, Bochao
    Xu, Chengjie
    Lin, Xueqian
    ICCREM 2015: ENVIRONMENT AND THE SUSTAINABLE BUILDING, 2015, : 741 - 748
  • [22] Gas concentration pre-warning system based on fuzzy structured element
    任志玲
    于群
    International Journal of Coal Science & Technology, 2008, (04) : 581 - 584
  • [23] An Oil & Gas Pipeline Pre-warning System Based on &UPHI;-OTDR
    Tan, Dongjie
    Tian, Xiaozhong
    Sun, Wei
    Zhou, Yan
    Liu, Lu
    Ma, Yunbing
    Meng, Jia
    Zhang, Hong
    23RD INTERNATIONAL CONFERENCE ON OPTICAL FIBRE SENSORS, 2014, 9157
  • [24] A SVM-based pipeline leakage detection and pre-warning system
    Qu, Zhigang
    Feng, Hao
    Zeng, Zhoumo
    Zhuge, Jingchang
    Jin, Shijiu
    MEASUREMENT, 2010, 43 (04) : 513 - 519
  • [25] The Application Of Wavelet Transform In The Fiber Pipeline Safety Pre-warning System
    Wang, Guanglei
    Liu, Xiaoli
    Li, Yang
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 3605 - 3608
  • [26] Recognition of optical fiber pre-warning system based on image processing
    Sun, Qian
    Feng, Hao
    Zeng, Zhou-Mo
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2015, 23 (02): : 334 - 341
  • [27] Development of Contamination Flashover Pre-warning System and Analysis of Operating Experience
    Zhao, Chenlong
    Mei, Hongwei
    Zhu, Mingxi
    Dai, Hanqi
    Wang, Liming
    Zhou, Zhicheng
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2015, 22 (04) : 2234 - 2241
  • [28] Research on the pre-warning method for bubble economy
    Hu, WX
    PROCEEDINGS OF THE 2001 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, VOLS I AND II, 2001, : 1317 - 1321
  • [29] Understanding and representing staff pre-warning delay
    Gwynne, S. M. V.
    Purser, D. A.
    Boswell, D. L.
    Sekizawa, A.
    JOURNAL OF FIRE PROTECTION ENGINEERING, 2012, 22 (02) : 77 - 99
  • [30] Advances in Water Resources Security Pre-warning
    Qu Qiang
    Chang Mingqi
    Xu Lei
    Wang Yue
    Lv Meizhao
    Lu Shaohua
    2011 INTERNATIONAL CONFERENCE ON FUTURE MANAGEMENT SCIENCE AND ENGINEERING (ICFMSE 2011), VOL 1, 2011, 5 : 216 - 222