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MA Jian, ZHAO Xiang-mo, HE Shuan-hai, SONG Hong-xun, ZHAO Yu, SONG Huan-sheng, CHENG Lei, WANG Jian-feng, YUAN Zhuo-ya, HUANG Fu-wei, ZHANG Jian, YANG Lan. Review of pavement detection technology[J]. Journal of Traffic and Transportation Engineering, 2017, 17(5): 121-137.
Citation: MA Jian, ZHAO Xiang-mo, HE Shuan-hai, SONG Hong-xun, ZHAO Yu, SONG Huan-sheng, CHENG Lei, WANG Jian-feng, YUAN Zhuo-ya, HUANG Fu-wei, ZHANG Jian, YANG Lan. Review of pavement detection technology[J]. Journal of Traffic and Transportation Engineering, 2017, 17(5): 121-137.
shu

Review of pavement detection technology

  • 1.

    Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Centre, Chang'an University, Xi'an 710064, Shaanxi, China

  • 2.

    XCMG Xuzhou Truck-Mounted Crane Co., Ltd., Xuzhou 221004, Jiangsu, China

  • 3.

    Northwestern Regional Headquarter of China Communications Construction Co., Xi'an 710065, Shaanxi, China

  • 4.

    China Merchants Chongqing Communications Technology Research and Design Institute Co., LtD., Chongqing 400067, China

  • 5.

    Shaanxi Provincial Expressway Construction Group Co., Xi 'an 710065, Shaanxi, China

More Information
  • Author Bio:

    MA Jian(1957-), male, professor, PhD, majian@chd.edu.cn

  • Received Date: 2017-11-02
  • Publish Date: 2017-10-25
    Abstract
  • The important research results of pavement detection were summarized. The development state of technology detecting the damage, roughness, rutting, skid resistance (structure depth) and structural strength (deflection) of pavement was analyzed.The shortage and development direction of pavement detection technology were studied.Research result indicates that the development of pavement detection technology at home and abroad hasexperienced three stages: early traditional manual detection, semi-automatic detection at the end of 20 th century and nondestructive automatic detection at present.The main features of nondestructive automatic detection are rapidness and intellectualization, and the damage, roughness, rutting, skid resistance and structural strength of pavement as well as the alignments and facilities of roads are detected simultaneously because multi-source sensors work together and are integrated in the multi-purpose road test car.In term of pavement damage detection, digital image detection technology is used for the rapid detection of pavement cracks.In term of pavement roughness detection, laser displacement sensing technology is used to realize fast automatic detection.In term of pavement rutting detection, laser and digital image technology are used to realize noncontact intelligent detection.In terms of skid resistance detection and structural strength detection of pavement, the correlativity between the results detected by using sand paving method and Beckman beam method is established to realize the rapid detection of structure depth and deflection of pavement based on laser technology.In order to reduce the interference of external factors to the existing detection technology and detection equipment, and to improve the signal to noise ratio of detection, the road detection and data processing methods suitable for various working conditions should be developed to realize the high efficiency and intellectualization of pavement detection.

     

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