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Computer Simulation: A Hybrid Model for Traffic Signal Optimisation

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With the increasing number of vehicles in use in our daily life and the rise of traffic congestion problems, many methods and models have been developed for real time optimisation of traffic lights. Nevertheless, most methods which consider real time physical queue sizes of vehicles waiting for green lights overestimate the optimal cycle length for such real traffic control. This paper deals with the development of a generic hybrid model describing both physical traffic flows and control of signalised intersections. The firing times assigned to the transitions of the control part are considered dynamic and are calculated by a simplified optimisation method. This method is based on splitting green times proportionally to the predicted queue sizes through input links for each new cycle time. The proposed model can be easily translated into a control code for implementation in a real time control system.

Abstract

With the increasing number of vehicles in use in our daily life and the rise of traffic congestion problems, many methods and models have been developed for real time optimisation of traffic lights. Nevertheless, most methods which consider real time physical queue sizes of vehicles waiting for green lights overestimate the optimal cycle length for such real traffic control. This paper deals with the development of a generic hybrid model describing both physical traffic flows and control of signalised intersections. The firing times assigned to the transitions of the control part are considered dynamic and are calculated by a simplified optimisation method. This method is based on splitting green times proportionally to the predicted queue sizes through input links for each new cycle time. The proposed model can be easily translated into a control code for implementation in a real time control system.

참고문헌 (25)

  1. Diakaki, C., "A multivariable regulator approach to trafficresponsive network-wide signal control", Control Engineering Practice, 10(2), pp.183~195 (2002)
  2. Papageorgiou, M., "Review of road traffic control strategies", Proceedings of the IEEE, 91(12), pp.2043~2067 (2003)
  3. Patel, M., "IDUTC: An intelligent decision making system for urban trafficcontrol applications", IEEE Transactions on Vehicular Technology, 50(3), pp.816~829 (2001)
  4. Huang, Y. S, "Modelling and analysis of traffic light control systems", IET Control Theory and Applications, 3(3), pp.340~350 (2009)
  5. Peterson, J. L., "Petri net theory and the modelling of systems" (1981), Prentice Hall
  6. Murata, T, "Petri Nets: Properties, Analysis and Applications", Proceeding of the IEEE, 77(4), pp.541~580 (1989)
  7. List, G. F., "Modelling Traffic Signal Control Using Petri Nets", IEEE Transactions on Intelligent Transportation Systems, 5(3) (2004)
  8. Di Cesare, F, "The applications of Petri nets to the modelling analysis and control of intelligent urban traffic networks", Lecture notes in computer science, 815 (1994), Springer
  9. Wang, H., "Modelling and evaluation of traffic signal control using timed Petri nets", IEEE Proceedings of International Conference on Systems, Man and Cybernetics, Le Touquet, France, pp.180~185 (1993)
  10. Dottily, M, "Validation of an urban traffic network model using coloured timed Petri nets", IEEE proceedings of International Conference on Systems, Man and Cybernetics, Waikoloa, HI, USA, pp.1347~1352 (2005)
  11. Dotoli, M., "An urban traffic network model via coloured timed Petri nets", Control Engineering Practice, 14, pp.1213~1229 (2006)
  12. Lee, J., "Modelling urban transportation systems with hybrid systems: An overview", IEEE proceedings of Intelligent Transportation Systems, 2, pp.1269~1272 (2003)
  13. Tolba, C., "Continuous and timed Petri nets for the macroscopic and microscopic traffic flow modeling", Simulation Modelling Practice and Theory, 13, pp.407~436 (2005)
  14. Di Febbraro, A, "Urban Traffic Control Structure Based on Hybrid Petri Nets", IEEE proceedings of Intelligent Transportation Systems, 5(4) (2004)
  15. Di Febbraro, A, "On modelling urban transportation networks via hybrid Petri nets", Control Engineering Practice, 12(10), pp.1225~1239 (2004)
  16. Kim, Y.-W, "Traffic Network Control Based on Hybrid Dynamical System Modelling and Mixed Integer Nonlinear Programming With Convexity Analysis", IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, 38(2) (2008)
  17. Traffic Signals, "Webster, F.V", Road Research Laboratory, ~, pp.Technical Paper 56 (1966)
  18. Traffic Signal Settings, Road Research, "Webster, F.V.", Her Majesty’s Stationery Office, ~, pp.Technical Paper No.39, (1969)
  19. OPAC: A Demand-responsive strategy for traffic signal control, "Gartner, N", U.S. Department Transportation, ~, pp.Transp. Res. Rec. 906 (1983)
  20. Porche, I., "A Decentralised Scheme for Real-Time Optimisation of Traffic Signals", IEEE Proceedings of International Conference on Control Applications, Dearborn, MI, pp.582~589 (1996)
  21. Clement, S., "Traffic signal timing determination: the Cable model, In Genetic Algorithms in Engineering Systems: Innovations and Applications", 63~68 (1997)
  22. Dinopoulou, V., "Simulation investigation of the trafficresponsive urban control strategy TUC", IEEE Proceeding of Intelligent Transportation Systems Conference, Dearborn, MI, pp.458~463 (2000)
  23. Gao, H. J., "Changeable phases signal control of an isolated intersection", IEEE Proceedings of International Conference on Systems, Man and Cybernetics, 5, pp.4~ (2002)
  24. Gang T., "Genetic Algorithm and Its Application in the Real time Traffic Signal Optimisation Control", Proceedings of 6th International Conference on ITS Telecommunications (2006)
  25. Alla, H., "On hybrid Petri nets", Journal of Discrete Event Dynamic Systems, 8(1), pp.9~40 (2001)

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