Journal of Practical Engineering Education (실천공학교육논문지)

Korean Institute for Pratical Engineering Education (한국실천공학교육학회)
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A Study on Detection of Overloaded Vehicles at Highway Toll Gates Using Detection of Height Changes in Vehicle Cargo Boxes

차량 적재함의 높이 변화 감지를 이용한 고속도로 톨게이트 과적차량 검출에 관한 연구

  • Gwang Lee (Department of Computer Science, Korea National University of Transportation) ;
  • Bong-Keun Kim (Department of Computer Science, Korea National University of Transportation)
  • 이광 (국립한국교통대학교 컴퓨터소프트웨어학과) ;
  • 김봉근 (국립한국교통대학교 컴퓨터소프트웨어학과)
  • Received : 2024.05.08
  • Accepted : 2024.06.17
  • Published : 2024.06.30
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Abstract

All highway toll gates in Korea use low-speed WIM(Weight-In-Motion) to block overloaded cargo vehicles from entering the main highway, but some cargo vehicle owners are illegally modifying vehicles to operate variable axles and evading crackdowns by manipulating the axles. In previous studies detect all tires of a running vehicle were detected to determine whether there is axle manipulation. However, because the vehicle entry area at the highway toll gate checkpoint is very narrow, there is a problem that it is realistically difficult to film all tires of the entering vehicle in one video frame. In this paper, we proposed a system that can determine whether the axle is being operated through changes in the height of the vehicle's cargo box rather than by detecting tires. To detect changes in the height of a cargo box, we propose a method to extract the representative line of the cargo box using Hough transform and then measure the change in height of the representative line to detect the change in height of the cargo box. In addition, we propose a method to detect changes in the vertical height of a cargo box by accumulating motion vectors of pixels within a certain area of the image using optical flow. And the two methods were compared and their advantages and disadvantages were analyzed and presented.

우리나라의 모든 고속도로 톨게이트에서는 저속 축중기를 사용해 과적 화물 차량의 고속도로 본선 진입을 차단하고 있으나, 일부 화물 차량은 가변축을 조작할 수 있도록 불법으로 개조하고 축조작을 통해 단속을 회피하고 있다. 기존에 수행된 연구들에서는 주행중인 차량의 타이어들을 검출해 축조작의 여부를 판별하고 있지만, 고속도로 톨게이트 검문소의 차량 진입부가 매우 좁기 때문에 하나의 영상 프레임에 차량의 모든 타이어를 촬영하는 것이 현실적으로 어렵다는 문제가 있다. 이러한 문제를 해결하기 위해 본 논문에서는 타이어의 검출이 아닌 화물 차량 적재함의 상하 높이 변화를 감지하는 방법으로 축조작 시도 여부를 판단할 수 있는 시스템을 제안하였다. 화물 차량의 적재함 높이 변화를 검출하는 방법으로 허프 변환을 이용해 차량 적재함의 대표선을 추출하고 대표선의 높이 변화를 측정하여 적재함의 수직 높이 변화를 감지하는 방법과 광류를 이용해 영상의 일정 영역 내의 픽셀들에 대한 모션 백터를 구하고 이를 누적하여 적재함의 수직 높이 변화를 감지하는 방법을 사용하였으며 두 방법을 비교 분석하고 장단점을 제시하였다.

Keywords

Acknowledgement

이 논문은 2023년도 한국교통대학교 교내학술연구비의 지원을 받아 수행한 연구임.

References

  1. Korea Transportation Database, "Traffic in statistics," Korea Transport Institute, pp. 34-37, 2018.
  2. S. K. Ryu, "Study on the automatic supervision system of overloading vehicle," Proceedings of the Korean Institute of Electrical Engineers, pp. 1052-1053, 2008.
  3. B. W. Jo, D. K. Kim, H. Y. Choi, J. H. Park, and S. M. Yoon, "A study on development of u-manless overload regulation system," Journal of the Computational Structural Engineering Institute of Korea, vol. 20, no. 3, pp. 387-392, 2007.
  4. M. S. Oh, S. M. Kwon, and C. Oh, "Analyzing the impact of Weigh-in-Motion (WIM)-based overloading enforcement systems on freeway traffic stream," International Journal of Highway Engineering, vol. 20, no. 5, pp. 129-140. 2018.
  5. Y. H. Choi, S. M. Kwon, and M. S. Park, "An effectiveness analysis of pilot enforcement for overweight vehicles (Trucks) using high-speed weigh-in-motion systems," Journal of the Korean Institute of Intelligent Transportation System, vol. 15, no. 2, pp. 63-73, 2016.
  6. B. K. Kim and G. Lee, "Video detection method for the enforcement of overloaded vehicle operating the variable axle," Journal of Global IT Institute, Korea Nation University of Transportation, vol. 8, no. 1, pp. 28-32, 2013.
  7. H. S. Park, Y. S. Cho, Y. N. Kim, and J. P. Kim, "Development of Mask-RCNN based axle control violation detection method for enforcement on overload trucks," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 21, no. 5, pp. 57-66, 2022.
  8. D. H. Lee, J. S. Lee, J. W. Cho, J. W. Kim, and T. S. Kim, "Analysis of secondary influencing factors for the wim system used in overload enforcement," International Journal of Highway Engineering, vol. 25, no. 4, pp. 25-35, 2023.
  9. K. He, G. Gkioxari, P. Dollar, and R. Girshick, "Mask r-cnn," Proceedings of the IEEE International Conference on Computer Vision, pp. 2961-2969, 2017.
  10. E. S. Whang and T. H. Nguyen, "Determination of multilane loading factors for vehicular load of bridges using weigh-in-motion data," Journal of the Korean Society of Road Engineers, vol. 13, no. 4, pp. 123-132, 2011.
  11. S. M. Kwon and Y. C. Suh, "Development and application of the high speed weight-in-motion for overweight enforcement," Journal of the Korean Society of Road Engineers, vol. 11, no. 4, pp. 69-78, 2009
  12. B. W. Jo, K. W. Yoon, J. H. Park, and J. S. Choi, "A study for smart overload vehicle regulation system," Journal of Computational Structural Engineering Institute of Korea, vol. 24, no. 4, pp. 399-404, 2011.
  13. H. S. Park, B. K. Kim, S. P. Shin, Y. J. Kim, Y. S. Choi, and K. M. Hong, "Development of AI-based detection of overloading vehicles by manipulating the axle," Korea Institute of Construction Technology, pp. 30-48, 2022.
  14. J. W. Kim and Y. W. Jung, "An analysis of test results using the new fusion weight conversion algorithm for high-speed weigh-in-motion system," The Journal of the Korea Institute of Intelligent Transportation Systems, vol. 19, no. 4, pp. 67-80, 2020.