Routing strategies based on macroscopic fundamental diagram

Transportation Research Record

Volumn , Issue 2315, 2012, Pages 1-10

  Knoop, V ^a   Hoogendoorn, S ^a   Van Lint, J ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ROUTING ALGORITHMS; TRAFFIC CONGESTION;

CONTROL LEVEL; FULL INFORMATIONS; GRID NETWORK; MACROSCOPIC FUNDAMENTAL DIAGRAM; NUMBER OF VEHICLES; ROUTING STRATEGIES; SUBNETWORKS; TRAFFIC MANAGEMENT; TRAFFIC NETWORKS; TRAFFIC PERFORMANCE;

VEHICLE PERFORMANCE;

EID: 84897585287     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2315-01     Document Type: Article

References (26)

1. Landman, R., S. Hoogendoorn, M. Westerman, S. Hoogendoorn-Lanser, and J. Van Kooten. Design and Implementation of Integrated Network Management in the Netherlands. Presented at 89th Annual Meeting of the Transportation Research Board, Washington, D.C., 2010.
2. Daganzo, C. Urban Gridlock: Macroscopic Modeling and Mitigation Approaches. Transportation Research Part B, Vol. 41, No. 1, 2007, pp. 49-62.
3. Geroliminis, N., and C. F. Daganzo. Existence of Urban-Scale Macroscopic Fundamental Diagrams: Some Experimental Findings. Transportation Research Part B, Vol. 42, No. 9, 2008, pp. 759-770.
4. Godfrey, J. The Mechanism of a Road Network. Traffic Engineering and Control, Vol. 11, No. 7, 1969, pp. 323-327.
5. Daganzo, C., and N. Geroliminis. An Analytical Approximation for the Macroscopic Fundamental Diagram of Urban Traffic. Transportation Research Part B, Vol. 42, No. 9, 2008, pp. 771-781.
6. Buisson, C., and C. Ladier. Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of the Macroscopic Fundamental Diagram. In Transportation Research Record: Journal of the Transportation Research Board, No. 2124, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 127-136.
7. Ji, Y., W. Daamen, S. Hoogendoorn, S. Hoogendoorn-Lanser, and X. Qian. Investigating the Shape of Macroscopic Fundamental Diagram Using Simulation Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2161, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 40-48.
8. Cassidy, M. J., K. Jang, and C. F. Daganzo. Macroscopic Fundamental Diagrams for Freeway Networks: Theory and Observation. In Transportation Research Record: Journal of the Transportation Research Board, No. 2260, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 8-15.
9. Geroliminis, N., and J. Sun. Hysteresis Phenomena of a Macroscopic Fundamental Diagram in Freeway Networks. Procedia of Social and Behavioral Sciences, Vol. 17, 2011, pp. 213-228.
10. Mazloumian, A., N. Geroliminis, and D. Helbing. The Spatial Variability of Vehicle Densities as Determinant of Urban Network Capacity. Philosophical Transactions of the Royal Society A, Vol. 368, 2010, pp. 4627-4647.
11. Geroliminis, N., and J. Sun. Properties of a Well-Defined Macroscopic Fundamental Diagram for Urban Traffic. Transportation Research Part B, Vol. 45, No. 3, 2011, pp. 605-617
12. Knoop, V. L., and S. P. Hoogendoorn. Two-Variable Macroscopic Fundamental Diagrams for Traffic Networks. Presented at Ninth International Conference on Traffic and Granular Flow 2011, Sept. 28-Oct. 1, Moscow
13. Knoop, V. L., J. W. C. Van Lint, and S. P. Hoogendoorn. Data Requirements for Traffic Control on a Macroscopic Level. In Proc., 2nd International Workshop on Traffic Data Collection and Its Standardisation, Sept. 22-23, Brisbane, Australia, 2011.
14. Wu, X., H. Liu, and N. Geroliminis. An Empirical Analysis on the Arterial Fundamental Diagram. Transportation Research Part B, Vol. 45, No. 1, 2011, pp. 255-266.
15. Daganzo, C., V. Gayah, and E. Gonzales. Macroscopic Relations of Urban Traffic Variables: Bifurcations, Multivaluedness and Instability. Transportation Research Part B, Vol. 45, No. 1, 2011, pp. 278-288.
16. Gayah, V., and C. Daganzo. Clockwise Hysteresis Loops in the Macroscopic Fundamental Diagram: An Effect of Network Instability. Transportation Research Part B, Vol. 45, Issue 4, 2011, pp. 643-655.
17. Cassidy, M., and R. Bertini. Some Traffic Features at Freeway Bottlenecks. Transportation Research Part B, Vol. 33, No. 1, 1999, pp. 25-42.
18. Lighthill, M. J., and G. B. Whitham. On Kinematic Waves. II. A Theory of Traffic Flow on Long Crowded Roads. Proceedings of the Royal Society of London, Series A, Vol. 229, No. 1178, 1955, pp. 317-345.
19. Richards, P. I. Shock Waves on the Highway. Operations Research, Vol. 4, 1956, pp. 42-51.
20. Godunov, S. K. A Difference Scheme for Numerical Computation of Discontinuous Solutions of Equations of Fluid Dynamics. Sbornik: Mathematics, Vol. 47, 1959, pp. 271-290.
21. Jin, W. L., and H. M. Zhang. On the Distribution Schemes for Determining Flows Through a Merge. Transportation Research Part B, Vol. 37, No. 6, 2003, pp. 521-540.
22. Tampère, C., R. Corthout, D. Cattrysse, and L. Immers. A Generic Class of First Order Node Models for Dynamic Macroscopic Simulation of Traffic Flows. Transportation Research Part B, Vol. 45, 2011, pp. 289-309.
23. Daganzo, C. F. Fundamentals of Transportation and Traffic Operations. Pergamon Press, Oxford, 1997.
24. Drake, J. S., J. L. Schaöfer, and A. May. A Statistical Analysis of Speed Density Hypotheses. In Proc., Third International Symposium on the Theory of Traffic Flow (L. C. Edie, R. Herman, and R. Rothery, eds.), Elsevier North-Holland, New York, 1967.
25. Sheffi, Y. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice Hall, Englewood Cliffs, N.J. 1985.
26. Knoop, V. L., S. P. Hoogendoorn, and H. J. Van Zuylen. The Influence of Spillback Modelling When Assessing Consequences of Blockings in a Road Network. European Journal of Transportation and Infrastructure Research, Vol. 8, No. 4, 2008, pp. 287-300.