Advanced SearchSearch Tips
Study of an Optimal Control Algorithm for Train Interval Under Disturbance
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Study of an Optimal Control Algorithm for Train Interval Under Disturbance
Kim, Kiwoong; Lee, Jongwoo; Park, Minkee;
  PDF(new window)
When a train is delayed because of a disturbance, the time interval between successive trains increases and high-frequency metro lines can become unstable. Time interval control is therefore necessary in preventing such instabilities. In this paper, we propose an optimal interval control algorithm that is easy-to-implement and that guarantees system stability. In the proposed method, the controlled trains are determined from the time interval deviations between successive trains; the control algorithm for staying time is designed by use of a discrete traffic model to ensure an optimal time interval between successive trains. The results of a computer simulation are also given to demonstrate the validity of the proposed algorithm.
Train traffic control;Train interval control;Traffic model;Traffic regulation;
 Cited by
열차운행 안전성의 매개효과를 고려한 도시철도 이용만족도 분석 - 9호선을 대상으로 -,정성봉;이상오;

한국철도학회논문집, 2017. vol.20. 6, pp.853-865 crossref(new window)
Traffic regulation algorithm for metro lines with time interval deviations, Journal of Intelligent & Fuzzy Systems, 2016, 31, 2, 1001  crossref(new windwow)
S.S. Lee (1998) A Study on the subway regulation based on fuzzy control, Master's Thesis, KAIST.

H.G. Park (2002) Train regulation by the advanced algorithm for subway, Proceedings of the KIEE Conference, Seoul, Korea, 2002(11), pp. 330-333.

H.G. Park (2003) Train interval regulation by the modified control algorithm for subway, Master's Thesis, Seoul National University of Science and Technology.

V. Van Breusegem, G. Campion, G. Bastin (1991) Traffic modeling and state feedback control for metro lines, IEEE Transactions on Automatic Control, 36(7), pp. 770-784. crossref(new window)

W.S. Sevine, M.S. Levino, M. Athans, (1996) On the optimal error regulation of a string of moving vehicles, IEEE Transactions on Automatic Control, AC-11, pp. 355-361.

G.G. Yu (1999) A study on the train regulation algorithm of the railway control, Journal of KNRG, 15, pp. 341-364.

E. Bailly, S. Hayat, D. Jolly, A.M. Desodt (1996) Subway line one of Lille simulation and regulation based on fuzzy logic, Proceedings of the 12th International Conference on Systems Science, Wroclaw, Poland, 3, pp. 331-338.

S. Yasunobu, S. Miyamoto, H. Ihara (1983) Fuzzy control for automatic train operation system, 4th IFAC International Conference on Transportation Systems, Baden-Baden, Germany, pp. 33-39.

S. Yasunobu, S. Miyamoto (1985) Automatic train operation system by predictive fuzzy control, Industrial Applications of Fuzzy Control, North-Holland, pp. 1-18.

Korea Railroad Research Institute (2008) Technology for urban railway system, Journal of KRRI, 2, pp. 135-163.

G. Vernazza, R. Zunino (1990) A distributed intelligence methodology for railway traffic control, IEEE Transactions on Vehicular Technology, VT-39(3), pp. 265-270.