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Articles

Modeling and dynamic analysis for a kind of transportation system

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Pages 803-810 | Received 25 Jul 2016, Accepted 26 Jun 2017, Published online: 16 Jan 2018

References

  • Baccelli, F., Cohen, G., Olsder, G. J., & Quadrat, J. P. (1992). Synchronization and linearity: An algebra for discrete event systems. Chichester: Wiley.
  • Cacchiani, V., Huisman, D., Kidd, M., Kroon, L., Toth, P., Veelenturf, L., & Wagenaar, J. (2014). An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Research Part B: Methodological, 63(2), 15–37.
  • Caimi, G., Fuchsberger, M., Laumanns, M., & Lüthi, M. (2012). A model predictive control approach for discrete-time rescheduling in complex central railway station areas. Computers & Operations Research, 39(11), 2578–2593.
  • De Schutter, B., & Van Den Boom, T. (2001). Model predictive control for railway networks. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 105–110). Como: IEEE.
  • De Schutter, B. & Van Den Boom, T. J. (2002). Connection and speed control in railway systems—A model predictlve control approach. Proceedings of the 6th International Workshop on Discrete Event Systems (pp. 49–54). IEEE: Zaragoza, Spain.
  • De Schutter, B., Van Den Boom, T., & Hegyi, A. (2002). Model predictive control approach for recovery from delays in railway systems. Journal of the Transportation Research Board, 1793(3), 15–20.
  • Di Febbraro, A., Giglio, D., & Sacco, N. (2004). Urban traffic control structure based on hybrid Petri nets. IEEE Transactions on Intelligent Transportation Systems, 5(4), 224–237.
  • Fanti, M. P., Giua, A., & Seatzu, C. (2006). Monitor design for colored Petri nets: An application to deadlock prevention in railway networks. Control Engineering Practice, 14(10), 1231–1247.
  • Giua, A., & Seatzu, C. (2008). Modeling and supervisory control of railway networks using Petri nets. IEEE Transactions on Automation Science & Engineering, 5(3), 431–445.
  • Goverde, R. M. P. (1998). The max-plus algebra approach to railway timetable design. WIT Transactions on the Built Environment Computers in Railways VI, 37(6), 339–350.
  • Goverde Rob, M. P. (2007). Railway timetable stability analysis using max-plus system theory. Transportation Research Part B: Methodological, 41(2), 179–201.
  • Goverde, R. M., Bovy, P. H., & Olsder, G. J. (1999). The max-plus algebra approach to transportation problems. In Selected Proceedings of the 8th World Conference on Transport Research (pp. 377–390). Antwerp: Elsevier.
  • Goverde R. M. P., Heidergott B., & Merlet G. (2009). Railway Timetable stability analysis using stochastic max-plus linear systems. In Proceedings of 3rd ISROR (pp. 1–18). Zurich: ISROR.
  • Gu, T. L., Gao, J. C., & Zhou, C. H. (1996). Modeling and analysis of discrete events in multiproduct batch processes. Control Theory and Applications, 13(1), 125–130.
  • Kersbergen, B., van den Boom, T., & De Schutter, B. (2016). Distributed model predictive control for railway traffic management. Transportation Research Part C: Emerging Technologies, 68(5), 462–489.
  • Li, S., De Schutter, B., Yang, L., & Gao, Z. (2016). Robust model predictive control for train regulation in underground railway transportation. IEEE Transactions on Control Systems Technology, 24(3), 1075–1083.
  • Olsder, G. J. (1989). Applications of the theory of stochastic discrete event systems to array processors and scheduling in public transportation. In Proceedings of the 28th IEEE Conference on Decision and Control (pp. 2012–2017). Tampa, IL: IEEE.
  • Olsder, G. J. (1990). Applications of the theory of stochastic discrete event systems to array processors and scheduling in public transportation. In Proceedings of the IEEE Conference on Decision and Control (pp. 2012–2017). Tampa, IL: IEEE.
  • Olsder, G. J. (1993). Max algebra approach to discrete event systems. In IEE Colloquium on Discrete Event Systems: A New Challenge for Intelligent Control Systems (pp. 1–6). London: IEEE.
  • Qu W, Corman F, Lodewijks G (2015). A review of real time railway traffic management during disturbances. In Computational Logistics (pp. 658–672). Springer.
  • Van Boom, T. J. J., & De Schutter, B. (2007). On a model predictive control algorithm for dynamic railway network management. In Proceedings of the 2nd International Seminar on Railway Operations Modelling and Analysis (pp. 1–15). Germany: Hannover.
  • Zheng, D. Z., & Zhao, Q. C. (2000). Discrete event dynamic system (pp. 96–173). Beijing: Tsinghua University Press.

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