DOI QR코드

DOI QR Code

A Study on Performace Evaluation of ITS Detectors using UAV

UAV를 활용한 ITS검지기 성능평가에 관한 연구

  • Kang, Tae-Gyung (Traffic Information Service Center, Busan Metropolitan City) ;
  • Lee, Si-Bok (Dept. of Smart City Engineering (Drone and Transportation Eng. Division), Youngsan Univ.)
  • 강태경 (부산광역시 교통정보서비스센터) ;
  • 이시복 (영산대학교 스마트시티공학부 드론교통공학전공)
  • Received : 2018.11.01
  • Accepted : 2018.11.22
  • Published : 2018.12.31

Abstract

This study focuses on utilizing drones for performance evaluation of ITS detectors and analyzing economic feasibility when performance evaluation is conducted by the traffic management center's own personnel using drones. The study sites were selected from DSRC, video detector, and radar detector locations and drone filming was conducted to obtain travel speed, queue length, and delay time and compare with the detector data. It was shown that drones can be very effectively used to evaluate performance of major ITS detectors such as DSRC and video detectors. In addition, it was analyzed that a drone operated by the traffic management center's own personnel provides very economic solution for ITS detector performance evaluation when compared to consignment by external agencies.

본 연구는 최근 활용도가 급속히 확대되고 있는 드론을 활용한 ITS 검지기 성능평가 방안을 부산광역시의 사례를 중심으로 제시하고. 드론을 활용하여 센터 자체적으로 성능평가를 시행할 경우의 경제성에 대해 분석하고자 하였다. 부산시에서 운영중인 DSRC, 영상검지기, 레이더검지기 설치지점 중 분석대상 지점을 선정하여 드론촬영을 실시하고, 영상분석을 통해 통행속도, 대기행렬, 지체시간 등의 데이터를 확보하여 검지기수집 데이터와 비교하였다. 비교분석 결과, DSRC, 영상검지기 등 대다수의 주요 검지기 성능평가에 드론활용이 가능하다는 것을 충분히 확인하였으며, 실제로 현장의 상당수 검지기의 성능개선이 필요하다 사실도 손쉽게 파악할 수 있었다. 또한, 센터 자체인력으로 성능평가 수행시 외부기관 위탁시와 비교하여 절반 이하의 비용이 소요되어 비용과 시간 측면에서 매우 경제성이 높은 것으로 분석되었다.

Keywords

References

  1. Baik N. C., Lee S. H. and Oh S. H.(2006), "Developing the Evaluation System of ITS Device's Performance," The Journal of the Korean Society of Civil Engineers, vol. 13, no. 1, pp.13-16.
  2. Department of Traffic Information Service(2015), Final Report for Enhancing Accuracy of Traffic Data Collection for Reliable Traffic Information Service, Seoul Facilities Corporation.
  3. Heo W., Baik N. C. and Kang W. E.(2005), "Performance Evaluation of the Portable ITS Standard Devices for Inspection and Calibration and Case Study(s)," Proceedings of the 2005 Annual Meeting of the Korean Society of Civil Engineers, pp.4186-4193.
  4. Jang J. and Choi D.(2014), "Individual Vehicle Level Detector Evaluation with Application of Traceability and Confidence Interval Concepts," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 13, no. 5, pp.11-20. https://doi.org/10.12815/kits.2014.13.5.011
  5. Jang J. and Kim B. H.(2011), "Detector Evaluation Scheme Including the Concept of Confidence Interval in Statistics," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 10, no. 1, pp.67-75.
  6. Ko K. Y., Kim M. S., Lee C. K., Jeong J. H. and Heo N. W.(2015), "Applicability Evaluation of FMCW Radar Detector on Signal Intersections," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 14, no. 1, pp.01-12.
  7. Lee H. P., Kim Y. M. and Kang D. Y.(2012), "Development of an Performance Evaluation Method for Vehicle Detector Speed Measurement Applying Uncertainty in Measurement," The Journal of the Korean Society of Road Engineers, vol. 14, no. 2, pp.165-174.
  8. Middleton D. and Parker R.(2002), Vehicle Detecter Evaluation, Texas Transportation Institute.
  9. Minge E., Kotzenmacher J. and Peterson S.(2010), Evaluation of Non-Intrusive Technologies for Traffic Detection, Minnesota Department of Transportation Research Services Section.

Cited by

  1. Implementation of Drone System for Measuring Multilane Traffic Information based on Laser Sensor vol.18, pp.12, 2018, https://doi.org/10.14801/jkiit.2020.18.12.113