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A hybrid optimization algorithm for area traffic control problem

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  • S-W Chiou

    (National Dong Hwa University)

Abstract

For an area traffic control road network subject to equilibrium flows, the maximum possible increase in travel demands is considered while total delays for travellers are minimized with respect to the common cycle time, the starts and durations of green times and the offsets. Using the concept of reserve capacity of signal-controlled junctions, the problem of finding the maximum increase in traffic demands can be formulated as a mathematical program with equilibrium constraints. In this paper, we present a hybrid optimization algorithm to simultaneously solve the maximum increase in travel demands and minimizing total delays of travellers. Numerical computations are made for the values of performance index and the reserve capacity achieved at various sets of initial signal settings on a variety of signal-controlled networks. Encouraging results are obtained when compared with other alternatives.

Suggested Citation

  • S-W Chiou, 2007. "A hybrid optimization algorithm for area traffic control problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(6), pages 816-823, June.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:6:d:10.1057_palgrave.jors.2602207
    DOI: 10.1057/palgrave.jors.2602207
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    References listed on IDEAS

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    1. Chiou, Suh-Wen, 2003. "TRANSYT derivatives for area traffic control optimisation with network equilibrium flows," Transportation Research Part B: Methodological, Elsevier, vol. 37(3), pages 263-290, March.
    2. Wong, S. C. & Yang, Hai, 1997. "Reserve capacity of a signal-controlled road network," Transportation Research Part B: Methodological, Elsevier, vol. 31(5), pages 397-402, October.
    3. Smith, M. J., 1979. "The existence, uniqueness and stability of traffic equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 13(4), pages 295-304, December.
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    Cited by:

    1. S H Melouk & B B Keskin & C Armbrester & M Anderson, 2011. "A simulation optimization-based decision support tool for mitigating traffic congestion," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1971-1982, November.

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