Volume 40 Issue 2
Apr.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(2): 30-37
TIAN Shun, TIAN Shanshan, YANG Wei, WEI Lang, CHEN Tao. A Model for Estimating Driving Sight Distances Based on Corner Point of Broken Line of Roadway[J]. Journal of Transport Information and Safety, 2022, 40(2): 30-37. doi: 10.3963/j.jssn.1674-4861.2022.02.004
Citation: TIAN Shun, TIAN Shanshan, YANG Wei, WEI Lang, CHEN Tao. A Model for Estimating Driving Sight Distances Based on Corner Point of Broken Line of Roadway[J]. Journal of Transport Information and Safety, 2022, 40(2): 30-37. doi: 10.3963/j.jssn.1674-4861.2022.02.004
shu

A Model for Estimating Driving Sight Distances Based on Corner Point of Broken Line of Roadway

doi: 10.3963/j.jssn.1674-4861.2022.02.004
  • 1.

    School of Automobile, Chang'an University, Xi'an 710064, China

  • 2.

    Automotive Engineering Research Institute, BYD Automobile Limited Company, Xi'an 710119, China

  • Received Date: 2021-05-23
    Available Online: 2022-05-18
    Abstract
  • A study of driving sight distances is critical for safety evaluation of highways, which makes it ideal for estimating driving sight distances using in-vehicle equipment. To address the low accuracy of the existing sight distance models using the feature points of lane marking images, a model for estimating driving sight distances with the dotted corner points as the important feature is proposed. Based on the images preprocessing obtained by an in-vehicle equipment, the contour tracking method is used to extract the contour of line markings, so that the initial screening of the corner points can be extracted by setting a threshold sharpness of the contour. After using the maximum and minimum distance methods to cluster and classify candidate corner points, the points with the largest sharpness in each category is determined as the"true"corner points. In addition, the accurate extraction of the diagonal points is achieved by using the trapezoidal features of the dashed line image of the lane marking. By considering the relationship between the global mapping coordinates and the pixel coordinates of the corner points, the transformation matrix between the two coordinates is settled and the estimation model of driving sight distance is developed. By comparing with estimated sight distance with the required distance at a given operation speed, the evaluation of driving sight distance of the alignment of current road segment is implemented. The dynamic and static detection accuracy of the proposed sight distance estimation model is verified by a field experiment. Study results show that the estimation errors under the static condition are less than 7%, which is lower than the traditional methods. In addition, under dynamic conditions, the errors of driving sight distance are consistent with the results of static conditions, indicating that the proposed estimation model has a good performance under dynamic conditions. Comprehensively, the model can be used to support safety evaluation of highway design and operation.

     

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