Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
권호 표지

Development of a Signal Control Algorithm Using an Individual Vehicle's Data in a Wireless Environment

무선통신 환경에서의 개별차량 정보를 이용한 교차로 신호제어 알고리즘 개발

  • 이인규 (서울시립대학교 교통공학과) ;
  • 김영찬 (서울시립대학교 교통공학과)
  • Received : 2008.10.24
  • Accepted : 2009.07.31
  • Published : 2009.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, as IT technology and the ubiquitous environment have diffused, the application of these techniques are being attempted in the field of traffic operations and management. Therefore, it is necessary to develop data collection systems and signal control strategies that are suitable in the ubiquitous environment and that will improve efficiency and safety of signalized intersections. The authors conducted a study on the Wireless Sensor Network (WSN) signal control strategy using a wireless communication network between individual vehicles and a signal-control system and full actuated signal control technique to propose a new signal control strategy in the ubiquitous environment. The WSN was defined to evaluate the algorithm used with PARAMICS API simulation. The simulation produced results that the WSN signal control is more effective than other signal control methods. The WSN signal control could reduce vehicle delay time to a maximum of 64% in comparison with other signal control methods in low and near saturation flow conditions.

최근 정보통신의 발달로 인해 유비쿼터스 환경이 급속히 확산됨에 따라 교통운영 및 관리분야에서도 무선통신기술을 응용한 진보가 이루어지고 있고, 그에 따른 신호제어전략을 개발하여 신호교차로의 운영 효율성과 안전성을 획기적으로 향상시킬 필요성이 있다. 본 논문은 차량 내 단말기와 신호제어시스템과의 무선통신 및 네트워크 기술, 감응식 신호제어기술을 응용하여 최종 목표인 무선통신 환경에서의 개별차량 감응식 신호제어 알고리즘을 개발하였다. 신호제어를 위한 개별차량의 정보수집환경을 정의하였고, 개발된 제어전략을 평가하기 위해 PARAMICS의 API를 통하여 V2I와 V2V를 이용한 정보수집환경을 구현하여 새로운 개별차량 감응식 신호제어 알고리즘에 대한 분석을 수행하였다. 시뮬레이션 분석결과, WSN 신호제어가 저포화와 근포화의 조건에서 모두 정주기식제어와 완전감응식제어에 비해 최대 64%의 지체감소 효과를 나타내는 것으로 분석되었다.

Keywords

References

  1. Steven M.Click(2008), 'Evaluation of Variable Maximum Green Time to Improve Rural Traffic Signal Operations', TRB https://doi.org/10.3141/2080-09
  2. CHEN Wenjie, CHEN Lifeng, CHEN Zhanglong, TU Shiiang(2005), 'A Realtime Dynamic Traffic Control System Based on Wireless Sensor Network', Proceeding of the 2005 International Conference on Parallel Processing Workshops, IEEE https://doi.org/10.1109/ICPPW.2005.16
  3. Miho ASANO, Ryota HORIGUCHI, Masao KUWAHARA(2005), 'Adaptive Traffic Signal Control Using Real-Time Delay Measurement'
  4. CHEN Wenjie, GAO Liqiang, CHAI Zhanglong, TU Shiliang(2005), 'An Intelligent Guiding and Controlling System for Transportation Network Based on Wireless Sensor Network Technology', Proceeding of the 2005 The Fifth International Conference on Computer and Information Technology, IEEE https://doi.org/10.1109/CIT.2005.74
  5. Asano M., Nakajima A., Horiguchi R.(2003), 'A traffic signal control based on a queuing model using ITS sensing Technologies', Proc. of 10th ITS World Congress, Modrid
  6. M. Massart, M. koshi, M. kuwahara(1995), 'Traffic Signal Control Based on Travel Time Information from Beacons', Proceeding of the second world congress on intelligent transportation systems '95 Vol.1 pp.30-35, VERTIS
  7. Wischoff, L.; Ebner, A.; Rohling, H.; Lott, M.;Halfmann, R. SOTIS - a self-organizing traffic information system. Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual Volume 4, Issue , 22-25 April 2003 Page(s): 2442-2446 vol.4 https://doi.org/10.1109/VETECS.2003.1208829
  8. M Jerbi, SM Senouci, T Rasheed, Y Ghamri-Doudane. An Infrastructure-Free Traffic Information System for Vehicular Networks. Vehicular Technology Conference, 2007. VTC-2007 Fall https://doi.org/10.1109/VETECF.2007.438
  9. Huaying Xu and Matthew Barth(2006), Travel Time Estimation Techniques for Traffic Information Systems Based on Intervehicle Communications. Transportation Research Record: Journal of the Transportation Research Board No. 1944, Transportation Research Board of the National Academies, Washington, D.C., pp.72-81 https://doi.org/10.3141/1944-10
  10. U.S DOT. Traffic Control Systems Handbook
  11. Jing Zhu and Sumit Roy(2003), 'MAC for Dedicated Short Range Communications in Intelligent Transport System', IEEE Commun. Mag., Vol.41, No.12, Dec, pp.60-67 https://doi.org/10.1109/MCOM.2003.1252800
  12. '차세대 무선통신 신호제어시스템 개발'(2006), 건설교통부
  13. 국도상의 신호교차로의 소통 및 안전기능 고도화를 위한 교통신호제어기기 개발(2002.09), 교통개발연구원
  14. 백현수(2007), '무선통신 검지자료를 이용한 통행시간기반 신호제어 알고리즘 개발', 서울시립대학교 박사학위 논문
  15. 정영제(2006), '구간검지체계의 통행시간정보를 이용한 신호제어 알고리즘 개발', 서울시립대학교 석사학위 논문