Skip to main content
SpringerLink
Log in

Dynamic programming—neural network real-time traffic adaptive signal control algorithm

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In this paper, an “intelligent” isolated intersection control system was developed. The developed “intelligent” system makes “real time” decisions as to whether to extend (and how much) current green time. The model developed is based on the combination of the dynamic programming and neural networks. Many tests show that the outcome (the extension of the green time) of the proposed neural network is nearly equal to the best solution. Practically negligible CPU times were achieved, and were thus absolutely acceptable for the “real time” application of the developed algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Taha, Hamdy. (1982). Operations Research. New York /London: MacMillan Publishing Co.

    Google Scholar 

  • Teodorović, Dušan, and Panta Lučić. (2000). “Intelligent Vehicle Routing System”, Proceedings of the 3rd IEEE Conference on Intelligent Transportation Systems Dearborn, USA., October, 2000, 482–487.

    Google Scholar 

  • Teodorović, Dušan, et al. (2001). “Intelligent Isolated Intersection”, in Proceedings of the 10th International IEEE Conference on Fuzzy Systems December 2001, Melbourne, Australia.

  • Teodorović, Dušan, et al. (2002). “Intelligent Airline Seat Inventory Control System”. Transportation Planning and Technology 25, 155–173.

    Article  Google Scholar 

  • Teodorović, Dušan and Katarina Vukadinović. (1998). Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach. Boston/Dordrecht/London: Kluwer Academic Publishers.

    Google Scholar 

  • Wasserman, Philip. (1989). Neural Computing: Theory and Practice. New York: Van Nostrand Reinhold.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Falls Church, VA, 22043, USA

    Dušan Teodorović & Vijay Varadarajan

  2. Faculty of Transport and Traffic Engineering, University of Belgrade, 11000, Belgrade, Serbia and Montenegro

    Dušan Teodorović

  3. PB Farradyne, Rockville, MD, 20852, U.S.A

    Vijay Varadarajan

  4. Faculty of Transport and Traffic Engineering, University of Belgrade, 11000, Belgrade, Serbia and Montenegro

    Jovan Popović

  5. School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, 74078, USA

    Mohan Raj Chinnaswamy

  6. Computer Science Department, Virginia Polytechnic Institute and State University, Falls Church, VA, 22043, USA

    Sharath Ramaraj

Authors
  1. Dušan Teodorović
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vijay Varadarajan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jovan Popović
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mohan Raj Chinnaswamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sharath Ramaraj
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dušan Teodorović.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Teodorović, D., Varadarajan, V., Popović, J. et al. Dynamic programming—neural network real-time traffic adaptive signal control algorithm. Ann Oper Res 143, 123–131 (2006). https://doi.org/10.1007/s10479-006-7376-z

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-006-7376-z

Keywords

Search

Navigation