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Optimal Signal Control Using Adaptive Dynamic Programming

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

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Abstract

This paper develops an adaptive, optimal planning algorithm for signal control at a single intersection using an efficient dynamic programming technique. It is called ADPAS (Adaptive Dynamic Programming Algorithm for Signaling). The objective of ADPAS is to minimize the total delay experienced by vehicles passing through an intersection. ADPAS can generate any sequence of green phases to optimize signal control without restriction to fixed cycles of green phases. The algorithm employs reaching as the method to solve the forward DP functional equation, which does not require any prior knowledge of the states of the DP network. The efficiency of the algorithm results from two acceleration techniques that adaptively eliminate inferior states as the algorithm progresses. We verify computational efficiency of ADPAS with several test cases.

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References

  1. Denardo, E.V.: Dynamic Programming: Models and Applications. Prentice-Hall, Englewood Cliffs (1982)

    Google Scholar 

  2. Gartner, N.H.: OPAC: A demand-responsive strategy for traffic signal control. Transportation Research Record 906, 75–81 (1983)

    Google Scholar 

  3. Henry, J.J., Farges, J.L., Tuffal, J.: The PRODYN real time traffic algorithm. In: 4th IFAC-IFIP-IFORS Conference on Control in Transportation System, Baden, Germany (1983)

    Google Scholar 

  4. Hunt, P.B., Robertson, D.I., Bretherton, R.D., Winton, R.I.: SCOOT - a traffic responsive method for coordinating signals. Laboratory Report no. LR 1014, Transportation and Road Research, Crowthorne, Berkshire, England (1981)

    Google Scholar 

  5. Mauro, V., DiTaronto, D.: UTOPIA. In: Proceedings of the 6th IFAC/IFIP/IFORS Symposium on Control Computers and Communication in Transportation, vol. 12, pp. 245–252 (1990)

    Google Scholar 

  6. Porche, I., Lafortune, S.: Adaptive look-ahead optimization of traffic signals. Technical Report no. CGR 97-11, Department of Electric Engineering and Computer Science, The University of Michigan (1997)

    Google Scholar 

  7. Sen, S., Head, K.L.: Controlled optimization at an intersection. Transportation Science 31, 5–17 (1997)

    Article  MATH  Google Scholar 

  8. Sims, A.G.: The Sydney coordinated adaptive traffic system. In: Urban Transport Division of ASCE Proceedings, Engineering Foundation Conference on Research Directions in Computer Control of Urban Traffic Systems, New York, NY, pp. 12–27 (1979)

    Google Scholar 

  9. Webster, F.V.: Traffic Signal Settings. Road Research Technical Paper, no. 39, HMSO, London (1958)

    Google Scholar 

  10. Yargar, S., Han, B.: A procedure for real-time signal control that considers transit interference and priority. Transportation Research B 28, 315–331 (1994)

    Article  Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, C.O., Park, Y., Baek, JG. (2005). Optimal Signal Control Using Adaptive Dynamic Programming. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_18

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  • DOI: https://doi.org/10.1007/11424925_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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