Journal of the Korean Institute of Plant Engineering (대한설비관리학회지)

The Korean Institute of Plant Engineering (대한설비관리학회)
권호 표지

Simulation Model Construction for Real-Time Monitoring of Traffic Signal Controller

교통신호제어기 실시간 감시를 위한 시뮬레이션 모델 구축

  • Received : 2018.10.08
  • Accepted : 2018.11.02
  • Published : 2018.12.31
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Abstract

This paper proposed the real-time monitoring methodology of a traffic signal controller. The proposed methodology is based on the simulation technology, and it is necessary to construct a simulation model imitating the behavior of a traffic signal controller. By executing the simulation model, we can obtain the 'nominal system trajectory' of the traffic signal controller. On the other hand, an IoT(Internet of Things)-based monitoring device is implemented in a traffic signal controller. Through the monitoring device, it is possible to obtain the 'actual system trajectory'. By comparing the nominal system trajectory and the actual system trajectory, we can estimate the degree of deterioration of a traffic signal controller.

Keywords

Acknowledgement

Supported by : Ministry of Land, Infrastructure and Transport of the Korean Government

References

  1. Cho, K. H., Chung, Y. H. and Park S. C., "Dedication load based dispatching rule for load balancing of photolithography machines in wafer FABs", Korean Journal of Computational Design and Engineering, 22(1), pp. 1-9, 2017. https://doi.org/10.7315/CDE.2017.001
  2. Compare M., Bellani L. and Zio E., "Reliability model of a component equipped with PHM capabilities", Reliability Engineering & System Safety, 168, pp. 4-11, 2017. https://doi.org/10.1016/j.ress.2017.05.024
  3. Jang, J. S. and Park, S. C., "Discrete event simulation-based reliability evaluation of a traffic signal controller", Modelling and Simulation in Engineering, 2018, Article ID 5986826, 2018.
  4. Kim, K. and Park, K. S., "Phased-mission system reliability under Markov environment," IEEE Transactions on Reliability, 43(2), pp. 301-309, 1994. https://doi.org/10.1109/24.295013
  5. Kim, T. G., DEVSIM++ User's Manual, Department of Electrical Engineering, KAIST, 1994.
  6. Kim, W. K., "Optimal Tray Operarion Simulation for the Product Supply Chain Management", Journal of the Korean Institute of Plant Engineering, 15(2), pp. 47-63, 2010.
  7. Kim, Y. S. and Jeong Y. B., "A Study on Framework of Prognosis and Health Management for Predicting Remaining Useful Life", Journal of the Korean Institute of Plant Engineering, 21(4), pp. 73-83, 2016.
  8. Korea National Police Agency, "Traffic Lights Install and Management Manual", 2011.
  9. Liqun Shao, Zhanbao Gao, A useful technology for PHM with signal simulation, 2014 Prognostics and System Health Management Conference, IEEE, 2014.
  10. Lu, J. M. and Wu X. Y., "Reliability evaluation of generalized phased-mission systems with repairable components," Reliability Engineering and System Safety, 121, pp. 136-145, 2014. https://doi.org/10.1016/j.ress.2013.08.005
  11. Medjaher K., Skima H. and Zerhouni. N., "Condition assessment and fault prognostics of microelectromechanical systems", Microelectronics Reliability, 54(1), pp. 143-151, 2014. https://doi.org/10.1016/j.microrel.2013.09.013
  12. Mo Y. C., "Variable ordering to improve BDD analysis of phased-mission systems with multimode failures," IEEE Transactions on Reliability, 58(1), pp. 53-57, 2009. https://doi.org/10.1109/TR.2008.2011673
  13. Ou, Y. and Dugan J. B., "Modular solution of dynamic multiphase systems," IEEE Transactions on Reliability, 53(4), pp. 499-508, 2004. https://doi.org/10.1109/TR.2004.837305
  14. Park, J., Jang, J. S. and Park S. C., "Multiple regression to estimate the lifespan of a traffic signal controller", International Journal of Applied Engineering Research, 13(8), pp. 6052-6055, 2018.
  15. Smotherman M. and Zemoudeh K., "A non-homogeneous Markov model for phasedmission reliability analysis," Reliability Engineering and System Safety, 38(5), pp. 585-590, 1989.
  16. Tang, Z. H. and Dugan, J. B., "BDD-based reliability analysis of phased-mission systems with multimode failures," Reliability Engineering and System Safety, 55(2), pp. 350-360, 2006.
  17. Yang, K., Chung, Y. H., Kim, D. and Park, S. C., "Bottleneck detection framework using simulation in a wafer FAB", Korean Journal of Computational Design and Engineering, 19(3), pp. 214-223, 2014. https://doi.org/10.7315/CADCAM.2014.214
  18. Zeigler B. P., Multifacetted modeling and discrete event simulation, Academic Press, 1984.