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access icon free Real-time traffic signal control for intersections based on dynamic O–D estimation and multi-objective optimisation: combined model and algorithm

Detectors are challenged in providing stable and accurate information of the dynamic origin–destination (O–D) flows for real-time adaptive traffic signal timing operation. However, the dynamic O–D estimation technique is capable of providing a short-term turn-flow data for the signal-timing adjustment. Meanwhile, the real-time signal timing variations will affect the dynamic O–D flows in an actual network. Therefore, the dynamic O–D estimation and the real-time signal control closely interact with each. A combined model is proposed to dynamically calculate the signal adjustment answering the variation of the real-time O–D flows by minimising the accumulative queues in entering approaches. A case study was conducted to validate the proposed model and algorithms, and the result showed the traffic efficiency of the case study intersection was improved.

References

    1. 1)
      • 25. Yin, Y.F.: ‘Robust optimal traffic signal timing’, Transp. Res. B. Methodol., 2008, 42, (10), pp. 911924.
    2. 2)
      • 13. Lu, Z.B, Rao, W.M., Wu, Y.J., et al: ‘A Kalman filter approach to dynamic OD flow estimation for urban road networks using multi-sensor data’, J. Adv. Transp., 2015, 49, pp. 210227.
    3. 3)
      • 16. Akcelik, R.: ‘Traffic signals: capacity and timing analysis’ (Australian Road Research Board, Melbourne, 1981), pp. 1120.
    4. 4)
      • 18. Akcelik, R., Rouphail, N.M.: ‘Overflow queues and delays with random and platooned arrivals at signalized intersections’, J. Adv. Transp., 1994, 28, (3), pp. 227251.
    5. 5)
      • 14. Webster, F.V.: ‘Traffic signal settings’. Road Research Technical Paper No. 39, Her Majesty's Stationery Office, London, 1958, pp. 124.
    6. 6)
      • 10. Frederix, R., Viti, F., Tampere, C.M.J.: ‘Dynamic origin–destination estimation in congested networks: theoretical findings and implications in practice’, Transportmetrica A Transp. Sci., 2013, 9, (6), pp. 494513.
    7. 7)
      • 22. Chang, J., Wu, D.W.: ‘Multi-objective intersection signal control model’, J. Dalian Univ. Technol., 2000, 40, (6), pp. 653656.
    8. 8)
      • 26. Zhang, L.H., Yin, Y.F.: ‘Robust synchronization of actuated signals on arterials’, Transp. Res. Rec., 2009, 2080, pp. 111119.
    9. 9)
      • 5. Jiao, P.P., Lu, H.P., Liu, Y., et al: ‘A study of models and algorithms of dynamic OD matrix estimation for intersection’, Proc. East. Asia Soc. Transp. Stud., 2003, 4, pp. 885897.
    10. 10)
      • 6. Jiao, P.P.: ‘Study on estimation of dynamic origin-destination flows for intersections’, China Civil Eng. J., 2004, 37, (9), pp. 100103.
    11. 11)
      • 24. Li, R.M., Lu, H.P.: ‘Traffic signal control multi-object optimization based on genetic algorithm’, J. Changan Univ. (Natural Science Edition), 2009, 29, (3), pp. 8588.
    12. 12)
      • 7. Li, R.M., Lu, H.P., Shi, Q.X.: ‘ANN-based prediction of turning rate of traffic flows at intersection’, China Civil Eng. J., 2007, 42, (6), pp. 743747.
    13. 13)
      • 19. Transportation Research Board: ‘Highway capacity manual 2000’ (National Research Council, Washington, DC, 2000), pp. 11189.
    14. 14)
      • 23. Gao, Y.F., Xu, L.H., Hu, H., et al: ‘Multi-objective optimization method for fixed-time signal control at intersection’, China J. Highw. Transp., 2011, 24, (5), pp. 8288.
    15. 15)
      • 17. Akcelik, R., Rouphail, N.M.: ‘Estimation of delays at traffic signals for variable demand conditions’, Transp. Res., 1993, 27B, (2), p. 109.
    16. 16)
      • 9. Tan, G.Z., Liu, L.D., Fan, W., et al: ‘Dynamic OD estimation using automatic vehicle location information’. 2011 6th IEEE Joint Int. Information Technology and Artificial Intelligence Conf. (ITAIC), Chongqing, China, August 2011, pp. 352355.
    17. 17)
      • 3. Sherali, H.D., Arora, N., Hobeika, A.G.: ‘Parameter optimization methods for estimating dynamic origin-destination trip-tables’, Transp. Res. B Methodol., 1997, 31, (2), pp. 141157.
    18. 18)
      • 1. Nihan, N.L., Davis, G.A.: ‘Recursive estimation of origin-destination matrices from input/output counts’, Transp. Res. B Methodol., 1987, 21, (2), pp. 149163.
    19. 19)
      • 4. Li, B., Moor, B.D.: ‘Recursive estimation based on the equality-constrained optimization for intersection origin-destination matrices’, Transp. Res. B Methodol., 1999, 33, (3), pp. 203214.
    20. 20)
      • 33. Park, B., Yun, I., Ahn, K.: ‘Stochastic optimization of sustainable traffic signal control’, Int. J. Sust. Transp., 2009, 3, (4), pp. 263284.
    21. 21)
      • 21. Ribeiro, P.C.M.: ‘Handling traffic fluctuation with fixed-time plans calculated by TRANSYT’, Traffic Eng. Control, 1994, 35, pp. 362366.
    22. 22)
      • 34. Ma, D., Nakamura, H.: ‘Cycle length optimization at isolated signalized intersections from the viewpoint of emission’. 7th Int. Conf. Traffic and Transportation Studies (ICTTS), Kunming, China, August 2010, vol. 1, pp. 275284.
    23. 23)
      • 27. Feng, Y., Head, K.L., Khoshmagham, S., et al: ‘A real-time adaptive signal control in a connected vehicle environment’, Transp. Res. C Emerg. Technol., 2015, 55, pp. 460473.
    24. 24)
      • 12. Lou, Y.Y., Yin, Y.F.: ‘A decomposition scheme for estimating dynamic origin-destination flows on actuation-controlled signalized arterials’, Transp. Res. C Emerg. Technol., 2010, 18, (5), pp. 643655.
    25. 25)
      • 28. Abdoos, M., Mozayani, N., Bazzan, A.L.: ‘Traffic light control in non-stationary environments based on multi agent Q-learning’. 14th Int. IEEE Conf. Intelligent Transportation Systems (ITSC), Washington, DC, USA, October 2011, pp. 15801585.
    26. 26)
      • 20. Heydecker, B.: ‘Uncertainty and variability in traffic signal calculations’, Transp. Res. B Methodol., 1987, 21, (1), pp. 7985.
    27. 27)
      • 2. Nihan, N.L., Davis, G.A.: ‘Application of prediction-error minimization and maximum likelihood to estimate intersection O-D matrices from traffic counts’, Transp. Sci., 1989, 23, (2), pp. 7790.
    28. 28)
      • 32. Stevanovic, A., Stevanovic, J., Zhang, K., et al: ‘Optimizing traffic control to reduce fuel consumption and vehicular emissions: an integrated approach of VISSIM, CMEM, and VISGAOST’, Transp. Res. Rec. J. Transp. Res. Board, 2009, 2128, (2128), pp. 105113.
    29. 29)
      • 30. El-Tantawy, S., Abdulhai, B.: ‘Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC)’. 15th Int. IEEE Conf. Intelligent Transportation Systems (ITSC), Anchorage, AK, USA, September 2012, pp. 11401150.
    30. 30)
      • 15. Webster, F.V., Cobbe, B.M.: ‘Traffic signals’. Road Research Technical Paper No. 56, Her Majesty's Stationery Office, London, 1966, pp. 206207.
    31. 31)
      • 29. Jin, J.C., Ma, X.L.: ‘Adaptive group-based signal control by reinforcement learning’. 18th Euro Working Group on Transportation (EWGT), Transportation Research Procedia, Delft, The Netherlands, July 2015, vol. 10, pp. 207216.
    32. 32)
      • 31. Yang, I., Jayakrishnan, R.: ‘Real-time network-wide traffic signal optimization considering long-term green ratios based on expected route flows’, Transp. Res. C Emerg. Technol., 2015, 60, pp. 241257.
    33. 33)
      • 11. Barcel, J., Montero, L., Bullejos, M., et al: ‘Dynamic OD matrix estimation exploiting bluetooth data in urban networks’. 14th Int. Conf. Automatic Control, Modelling & Simulation, and 11th Int. Conf. Microelectronics, Nanoelectronics, Optoelectronics, World Scientific and Engineering Academy and Society (WSEAS), Saint Malo, Mont Saint-Michel, France, April 2012, pp. 116121.
    34. 34)
      • 8. Du, C.H., Huang, X.Y., Yang, Z.Y., et al: ‘Application of improved particle swarm algorithm in dynamic OD matrix estimation’, Comput. Eng. Appl., 2008, 44, (34), pp. 234238.
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