DOI QR코드

DOI QR Code

An approach for traffic signal control using RFID sensors

  • Seo, Gang-Do (Korea Water Resources Corporation) ;
  • Cho, Jin-Ho (Electronic and Electrical Engineering Department, Kyungpook National University)
  • 서강도 (한국수자원공사 기술정책과) ;
  • 조진호 (경북대 대학원 의공학과, 경북대 병원 의공학과)
  • Published : 2008.05.31

Abstract

The Korean government is building several futuristic cities, ubiquitous City (u-City), with the latest information technology (IT) infrastructure and "ubiquitous" environment. In the "u-City", Intelligent Transportation System (ITS) will be one of the important services. This study proposed a traffic responsive urban traffic control system applicable in those u-City, using RFID (Radio Frequency Identification) technology to get traffic information. And, we proposed a predictive control model using the real time traffic information achieved from the proposed system. A simulation example is provided to demonstrate the applicability of the proposed system and model.

Keywords

References

  1. http://www.songdo.com/default.aspx
  2. W. H.K. Lam, "Development of intelligent transport systems in Hong Kong", IEEE Intelligent Transportation Systems Conference Proceedings, pp. 25-29, Oakland (CA), USA, 2001
  3. S. M. Turner, 'Advanced techniques for travel time data collection', IEEE, 1995
  4. I. Satoh, 'Location-based services in ubiquitous computing environments', M.E. Orlowska et al. (Eds.): ICSOC, LNCS 2910, pp. 527-542, 2003
  5. http://www.e-plate.com/
  6. F. Liu, H. Ning, H. Yang, Z. Xu, and Y. Cong, 'RFID-based EPC system and information services intelligent transportation system', 6th International Conf. on ITS Telecommunications Proceedings, 2006
  7. Y. Guohao, T. Jun, and C. Guochong, 'RF controller development and its application in intelligent transport system, anti-counterfeiting, security, identification', IEEE International Workshop on International Conf. on Fuzzy Systems, 2007
  8. K. Penttila, L. Sydanheimo, and M. Kivikoski, 'Performance development of a high-speed automatic object identification using passive RFID technology', Proc. of the 2004 IEEE international Conf. on Robotics 8 Automation, 2004
  9. B. G. Heydecker, 'A decomposition approach for signal optimisation in road networks', Transportation Research B., vol. 30, no. 2, pp. 99-114, 1996 https://doi.org/10.1016/0191-2615(95)00025-9
  10. B. Han, 'Optimising traffic signal settings for periods of time-varying demand', Transportation Research A, vol. 30, no. 3, pp. 207-230, 1996 https://doi.org/10.1016/0965-8564(95)00018-6
  11. Davison, E. and Ozguner, U., 'Decentralized control of traffic networks, circuits and systems', IEEE Transactions, vol. 30, issue 6, pp. 364-375, Jun 1983 https://doi.org/10.1109/T-ED.1983.21131
  12. D. I. Robertson and R. D. Bretherton, 'Optimizing networks of traffic signals in real time-The scoot method', IEEE Transactions on Vehicular Technology, vol. 40, no. 1, 1991
  13. Gazis, D. C., 'Traffic responsive operation of traffic lights, traffic theory', KLUWER ACADEMIC PUBLISHERS, pp. 128-136, 2002
  14. M. Dotoli, M. P. Fanti, and C. Meloni, 'A signal timing plan formulation for urban traffic control', Control Engineering Practice, vol. 14, pp. 1297- 1311, 2006 https://doi.org/10.1016/j.conengprac.2005.06.013
  15. M.E. Fouladvand and M. Nematollahi, 'Optimization of green-times at an isolated urban crossroads', Eur. Phys. J. B 22, pp. 395-401, 2001 https://doi.org/10.1007/s100520100816
  16. M. E. Fouladvand, Z. Sadjadi, and M. R. Shaebani, 'Optimized traffic flow at a single intersection : traffic responsive signalization', J. Phys. A: Math. Gen. 37, pp. 561-576, 2004 https://doi.org/10.1088/0305-4470/37/3/002
  17. Webster, F. V., 'Traffic signal settings', Road Research Laboratory Technical Paper, no. 39, HMSO, London, 1958
  18. M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, and Y. Wang, 'Review of road traffic control strategies', Proc. of the IEEE, vol. 91, no. 12, 2003
  19. F. Boillot, S. M., J-C Pierrele'e, 'The real-time urban traffic control system CRONOS: Algorithm and experiments', Transportation Research, part C 14, pp. 18-38, 2006 https://doi.org/10.1016/j.trc.2006.05.001
  20. Wong, S. C., 'Derivatives of the performance index for the traffic model from TRANSYT', Transportation Research, Part B: Methodological, Volumeissue, October, 1995
  21. E. I. Vlahogianni, M. G. Karlaftis, and J. C. Golias, 'Optimized and meta-optimized neural networks for short-term traffic flow prediction : A genetic approach', Transportation Research, Part C, vol. 13, issue 3, 2005
  22. J. Favilla, 'Fuzzy traffic control: Adaptive strategies', IEEE, pp. 506-511, 1993
  23. T. Tari, L. T. Koczy, C. Gaspar, and J. Hontvari, 'Control of traffic lights in high complexity intersections using hierarchical interpolative fuzzy methods', IEEE International Conf. on Fuzzy Systems, 2006
  24. J. Lei, U. Ozugner, 'Combined decentralized multidestination dynamic routing and real-time traffic light control for congested traffic networks', Proc. of the 38th Conf.e on Decision & Control Phoenix, Arizona, USA, 1999
  25. 신성일, 이창주, 정희돈, '통합대중 교통망에서의 경호기반 통해 배정 모형', 한국ITS학회 논문지, 제 6권, 제3호, pp. 1-11, 2007
  26. 배상훈, 김영탁, 류병용, '이용자 만족도를 반영한 최적 버스 배차 간격 설정 모형의 개발', 한국ITS학 회 논문지, 제6권, 제3호, pp. 12-23, 2007