An approach for traffic signal control using RFID sensors
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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.
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.
참고문헌 (26)
- "///0000"[URL]
- W. H.K. Lam, "Development of intelligent transport systems in Hong Kong", IEEE Intelligent Transportation Systems Conference Proceedings, pp.25~29 (2001), Oakland (CA), USA
- S. M. Turner, "Advanced techniques for travel time data collection" (1995), IEEE
- I. Satoh, "Location-based services in ubiquitous computing environments", pp.527~542 (2003), ICSOC
- "///0000"[URL]
- F. Liu, "RFID-based EPC system and information services intelligent transportation system", 6th International Conf. on ITS Telecommunications Proceedings (2006)
- Y. Guohao, "RF controller development and its application in intelligent transport system, anti-counterfeiting, security, identification", IEEE International Workshop on International Conf. on Fuzzy Systems (2007)
- K. Penttila, "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)
- B. G. Heydecker, "A decomposition approach for signal optimisation in road networks", Transportation Research B, 30(2), pp.99~114 (1996)
- B. Han, "Optimising traffic signal settings for periods of time-varying demand", Transportation Research A, 30(3), pp.207~230 (1996)
- Davison, E., "Decentralized control of traffic networks, circuits and systems", IEEE Transactions, 30(6), pp.364~375 (1983)
- D. I. Robertson, "Optimizing networks of traffic signals in real time-The scoot method", IEEE Transactions on Vehicular Technology, 40(1) (1991)
- Gazis, D. C., "Traffic responsive operation of traffic lights, traffic theory", pp.128~136 (2002), KLUWER ACADEMIC PUBLISHERS
- M. Dotoli, "A signal timing plan formulation for urban traffic control", Control Engineering Practice, 14, pp.1297~1311 (2006)
- M.E. Fouladvand, "Optimization of green-times at an isolated urban crossroads", Eur. Phys. J. B, 22, pp.395~401 (2001)
- M. E. Fouladvand, "Optimized traffic flow at a single intersection : traffic responsive signalization", J. Phys. A: Math. Gen, 37, pp.561~576 (2004)
- Traffic signal settings, "Webster, F. V.", HMSO, London, ~, pp.Road Research Laboratory Technical Paper, no. 39 (1958)
- M. Papageorgiou, "Review of road traffic control strategies", Proc. of the IEEE, 91(12) (2003)
- F. Boillot, "The real-time urban traffic control system CRONOS: Algorithm and experiments", Transportation Research part C, 14, pp.18~38 (2006)
- Wong, S. C., "Derivatives of the performance index for the traffic model from TRANSYT", Transportation Research Part B: Methodological (1995)
- E. I. Vlahogianni, "Optimized and meta-optimized neural networks for short-term traffic flow prediction : A genetic approach", Transportation Research, 13(3) (2005)
- J. Favilla, "Fuzzy traffic control: Adaptive strategies", pp.506~511 (1993), IEEE
- T. Tari, "Control of traffic lights in high complexity intersections using hierarchical interpolative fuzzy methods", IEEE International Conf. on Fuzzy Systems (2006)
- J. Lei, "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 (1999), Arizona, USA
- 신성일, "통합대중 교통망에서의 경호기반 통해 배정 모형", 한국ITS학회 논문지, 6(3), pp.1~11 (2007)
- 배상훈, "이용자 만족도를 반영한 최적 버스 배차 간격 설정 모형의 개발", 한국ITS학회 논문지, 6(3), pp.12~23 (2007), 한국ITS학회