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Optimization Potential of a Highway Network: An Empirical Study

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Traffic and Granular Flow ’03

Summary

We present an analysis of traffic data of the highway network of North-Rhine-Westphalia in order to identify and characterize the sections of the network which limit the performance, i.e., the bottlenecks. It is clarified whether the bottlenecks are of topological nature or if they are constituted by on-ramps. This allows to judge possible optimization mechanisms and reveals in which areas of the network they have to be applied. Our results support previous empirical observations and theoretical studies indicating that the overall travel-time of vehicles in a traffic network can be optimized by means of ramp metering control systems.

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References

  1. M. Papageorgiou. An integrated control approach for traffic corridors. Transp. Res. C, 3:19–30, 1995.

    Article  Google Scholar 

  2. H. H. Salem and M. Papageorgiou. Ramp metring impact on urban corridor traffic: Field results. Transp. Res. A, 29:303–319, 1995.

    Article  Google Scholar 

  3. A.B. Kolomeisky, G. M. Schütz, E. B. Kolomeisky, and J. P. Straley. Phase diagram of one-dimensional driven lattice gases with open boundaries. J. Phys. A, 31:6911–6919, 1998.

    Article  MATH  Google Scholar 

  4. C. Appert and L. Santen. Boundary induced phase transitions in driven lattice gases with metastable states. Phys. Rev. Lett., 86:2498–2501, 2001.

    Article  Google Scholar 

  5. V. Popkov, L. Santen, A. Schadschneider, and G. M. Schütz. Empirical evidence for a boundary-induced nonequilibrium phase transition. J. Phys. A, 34:L45–L52, 2001.

    Article  MATH  Google Scholar 

  6. B.A. Huberman and D. Helbing. Economics-based optimization of unstable flows. Europhys. Lett., 47:196–202, 1999.

    Article  Google Scholar 

  7. R. Barlovic, T. Huisinga, A. Schadschneider, and M. Schreckenberg. Open boundaries in a cellular automaton model for traffic flow with metastable states. Phys. Rev. E, 66:046113, 2002.

    Article  Google Scholar 

  8. G. M. Schütz D. Helbing, D. Mukamel. Global phase diagram of a one-dimensional driven lattice gas. Phys. Rev. Lett., 82:10, 1999.

    Article  Google Scholar 

  9. B.S. Kerner. Complexity of synchronized flow and related problems for basic assumptions of traffic flow theories. Netw. Spat. Econom., 1:35–76, 2001.

    Article  Google Scholar 

  10. J. T. Ariaratnam and S. H. Strogatz. Phase diagram for the winfree model of coupled nonlinear oscillators. Phys. Rev. Lett., 86:4278–4281, 2001.

    Article  Google Scholar 

  11. A. Schadschneider, W. Knospe, L. Santen, and M. Schreckenberg. Optimization of highway networks and traffic forecasting. Physica A, 346:165–173, 2005.

    Article  Google Scholar 

  12. E. Brockfeld, R. Barlovic, A. Schadschneider, and M. Schreckenberg. Optimizing traffic lights in a cellular automaton model for city traffic. Phys. Rev. E, 64:056132, 2001.

    Article  Google Scholar 

  13. W. Knospe, L. Santen, A. Schadschneider, and M. Schreckenberg. Single-vehicle data of highway traffic: Microscopic description of traffic phases. Phys. Rev. E, 65:056133, 2002.

    Article  Google Scholar 

  14. R. Chrobok, O. Kaumann, J. Wahle, and M. Schreckenberg. Three categories of traffic data: Historical, current, and predictive. In E. Schnieder and U. Becker, editors, 9th IFAC Symposium Control in Transportation Systems. IFAC (Braunschweig), 2000.

    Google Scholar 

  15. R. Chrobok, J. Wahle, and M. Schreckenberg. Traffic forecast using simulations of large scale networks. In B. Stone, P. Conroy, and A. Broggi, editors, 4th International IEEE Conference on Intelligent Transportation Systems. IEEE (Oakland), 2001.

    Google Scholar 

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Knospe, W., Santen, L., Schadschneider, A., Schreckenberg, M. (2005). Optimization Potential of a Highway Network: An Empirical Study. In: Hoogendoorn, S.P., Luding, S., Bovy, P.H.L., Schreckenberg, M., Wolf, D.E. (eds) Traffic and Granular Flow ’03. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28091-X_3

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