Skip to main content

Advertisement

SpringerLink
Log in

Semi-Decentralized Traffic-Responsive Urban Control

  • Published:
International Journal of Intelligent Transportation Systems Research Aims and scope Submit manuscript

Abstract

We propose in this article a linear quadratic regulation model for urban road networks. The model combines semi-decentralization of the control with the additive conflict flow model. The idea is to consider a centralized optimal control for the traffic, where optimal split times are determined for the traffic lights. We then relax the centralization to some optimally chosen times windows, during which main streams get green lights and are considered as priority streams, while secondary ones get yellow lights and are considered as non-priority streams. We assume that during such time periods, the traffic is managed locally at each intersection, by applying the additive conflict flow model. By this semi-decentralization, we aim to relax the rigid central control (Red/Green) during the free flow time periods. We simulate our traffic control model numerically using the simulator SUMO (Simulation of Urban Mobility), and illustrate the results on some selected traffic scenarios. The results show that our proposed model increases the capacity of the road network by more than 800 vehicles per hour, compared to the semi-decentralized control model. This performance proves clearly the effectiveness of our approach.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Aboudolas, K., Papageorgiou, M., Kosmatopoulos, E.: Store-and-forward based methods for the signal control problem in large-scale congested urban road networks. Transportation Research Part C: Emerging Technologies 17(2), 163–174 (2009)

    Article  Google Scholar 

  2. Bian, Y., Li, S.E., Ren, W., Wang, J., Li, K., Liu, H.: Cooperation of multiple connected vehicles at unsignalized intersections: Distributed observation, optimization, and control. IEEE Transactions on Industrial Electronics (2019)

  3. Brilon, W., Wu, N.: Capacity at unsignalized intersections derived by conflict technique. Transportation Research Record 1776(1), 82–90 (2001)

    Article  Google Scholar 

  4. Cowan, R.: An extension of tanner’s results on uncontrolled intersections. Queueing Systems 1(3), 249–263 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  5. Daganzo, C.F.: Traffic delay at unsignalized intersections: Clarification of some issues. Trans. Sci. 11(2), 180–189 (1977)

    Article  MathSciNet  Google Scholar 

  6. Diakaki, C.: Integrated control of traffic flow in corridor networks. Ph. D. Thesis, Department of Production Engineering and Management, Technical University of Crete (1999)

  7. Diakaki, C., Dinopoulou, V., Aboudolas, K., Papageorgiou, M., Ben-Shabat, E., Seider, E., Leibov, A.: Extensions and new applications of the traffic-responsive urban control strategy: Coordinated signal control for urban networks. Transportation Research Record 1856(1), 202–211 (2003)

    Article  Google Scholar 

  8. Diakaki, C., Papageorgiou, M., Aboudolas, K.: A multivariable regulator approach to traffic-responsive network-wide signal control. Control Engineering Practice 10(2), 183–195 (2002)

    Article  Google Scholar 

  9. Du, Z., HomChaudhuri, B., Pisu, P.: Hierarchical distributed coordination strategy of connected and automated vehicles at multiple intersections. J. Intell. Trans. Syst. 22(2), 144–158 (2018)

    Article  Google Scholar 

  10. Farhi, N., Van Phu, C.N., Amir, M., Haj-Salem, H., Lebacque, J.P.: A semi-decentralized control strategy for urban traffic. Trans. Res. Procedia 10, 41–50 (2015)

    Article  Google Scholar 

  11. Gartner, N.H.: OPAC: A demand-responsive strategy for traffic signal control. 906 (1983)

  12. Gazis, D.C., Potts, R.B.: The oversaturated intersection. Tech. rep. (1963)

  13. Gleue, A.: Vereinfachtes verfahren zur berechnung signalgeregelter knotenpunkte (1972)

  14. Heidemann, D., Wegmann, H.: Queueing at unsignalized intersections. Transportation Research Part B: Methodological 31(3), 239–263 (1997)

    Article  Google Scholar 

  15. Henry, J.J., Farges, J.L., Tuffal, J.: The PRODYN real time traffic algorithm. In: Control in Transportation Systems, pp. 305–310. Elsevier (1984)

  16. Hunt, P., Robertson, D., Bretherton, R., Royle, M.C.: The SCOOT on-line traffic signal optimisation technique. Traffic Engineering & Control 23(4) (1982)

  17. Khayatian, M., Mehrabian, M., Shrivastava, A.: Rim: Robust intersection management for connected autonomous vehicles. In: 2018 IEEE Real-Time Systems Symposium (RTSS), pp. 35–44. IEEE (2018)

  18. Kouvelas, A., Aboudolas, K., Papageorgiou, M., Kosmatopoulos, E.B.: A hybrid strategy for real-time traffic signal control of urban road networks. IEEE Trans. Intell. Trans. Syst. 12(3), 884–894 (2011)

    Article  Google Scholar 

  19. Liu, C., Lin, C.W., Shiraishi, S., Tomizuka, M.: Distributed conflict resolution for connected autonomous vehicles. IEEE Transactions on Intelligent Vehicles 3(1), 18–29 (2017)

    Article  Google Scholar 

  20. Lowrie, P.: The sydney cooridinated adaptive traffic SCAT system-principles, methodology, algorithm. In: Proc. of International Conference on Road Traffic Signaling, pp. 67–70. IEE (1982)

  21. Mauro, V., Di Taranto, C.: UTOPIA. IFAC Proceedings Volumes 23(2), 245–252 (1990)

    Article  Google Scholar 

  22. Robertson, D.I.: TRANSYT method for area traffic control. Traffic Engineering & Control 8(8) (1969)

  23. Sayed, T., Brown, G., Navin, F.: Simulation of traffic conflicts at unsignalized intersections with tsc-sim. Accident Analysis & Prevention 26(5), 593–607 (1994)

    Article  Google Scholar 

  24. Tanner, J.: A theoretical analysis of delays at an uncontrolled intersection. Biometrika 49(1/2), 163–170 (1962)

    Article  MATH  MathSciNet  Google Scholar 

  25. Van Phu, C.N., Farhi, N., Haj-Salem, H., Lebacque, J.P.: A vehicle-to-infrastructure communication based algorithm for urban traffic control. In: 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp. 651–656. IEEE (2017)

  26. Webster, F.V.: Traffic signal settings. Tech. rep. (1958)

Download references

Author information

Authors and Affiliations

  1. Research Unit LaMOS (Modelling and Optimization of Systems), Faculty of Exact Sciences, University of Bejaia, 06000, Bejaia, Algeria

    Hichem Mahiout & Mohammed Said Radjef

  2. COSYS-GRETTIA, Univ Gustave Eiffel, IFSTTAR, F-77447, Marne-la-Vallée, France

    Nadir Farhi & Cyril Nguyen Van Phu

Authors
  1. Hichem Mahiout
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nadir Farhi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohammed Said Radjef
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Cyril Nguyen Van Phu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hichem Mahiout.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mahiout, H., Farhi, N., Radjef, M.S. et al. Semi-Decentralized Traffic-Responsive Urban Control. Int. J. ITS Res. 20, 696–708 (2022). https://doi.org/10.1007/s13177-022-00318-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13177-022-00318-0

Keywords

Search

Navigation