Open Access
Issue
MATEC Web Conf.
Volume 334, 2021
The VI International Scientific and Practical Conference “Information Technologies and Management of Transport Systems” (ITMTS 2020)
Article Number 01005
Number of page(s) 9
Section Intelligent Transport Systems
DOI https://doi.org/10.1051/matecconf/202133401005
Published online 15 January 2021
  1. K. Aboudolas, N. Geroliminis, Perimeter and boundary flow control in multi-reservoir heterogeneous networks, Transportation Research, Part B, 55, pp. 265-281 (2013) [Google Scholar]
  2. S. Ardekani, R. Herman, Urban network-wide traffic variables and their relations, Transportation Science, 21(1), pp. 1-16. (1987) [Google Scholar]
  3. C. Buisson, C. Ladier, Exploring the impact of homogeneity of traffic measurements on the existence of macroscopic fundamental diagrams. Transportation Research Record: Journal of the Transportation Research Board, 2124, pp. 127-136 (2009) [Google Scholar]
  4. C.F. Daganzo, Urban Gridlock: Macroscopic modeling and mitigation approaches, Transportation Research Part B, 41(1), pp. 49-62 (2007) [Google Scholar]
  5. C.F. Daganzo, N. Geroliminis, An analytical approximation for the macroscopic fundamental diagram of urban traffic, Transportation Re-search Part B, 42, pp. 771-781 (2008) [Google Scholar]
  6. J.M. Del Castilio, F.G. Benitez, On the functional form of the speed-density relationship – I: General theory. Transp. Res. 29 B. №5. pp. 373-389 (1995) [Google Scholar]
  7. J.M. Del Castilio, F.G. Benitez, On the functional form of the speed-density relationship – II: Empirical investigation. “Transp. Res.”, 29 B. №5. pp. 391-406 (1995) [Google Scholar]
  8. V. Dinopoulou, Applications of the urban traffic control strategy TUC, European Journal of Operational Research, 175, No. 3, pp. 1652-1665 (2006) [Google Scholar]
  9. V. Gayah, C.F. Daganzo, Clockwise hysteresis loops in the Macroscopic Fundamental Diagram: An effect of network instability, Transportation Research Part B 45(4), pp. 643-655 (2011) [Google Scholar]
  10. N. Geroliminis, C.F. Daganzo, Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings, Transportation Research Part B 42, pp. 759-770. (2008) [Google Scholar]
  11. N. Geroliminis, J. Sun, Properties of a well-defined macroscopic fundamental diagram for urban traffic, Transportation Research Part B 45, pp. 605-617 (2011) [Google Scholar]
  12. J.W. Godfrey, The mechanism of a road network, Traffic Engineering and Control, 11, pp. 323-327 (1969) [Google Scholar]
  13. D. Helbing, Derivation of a fundamental diagram for urban traffic flow, The European Physical Journal B 70(2), pp. 229-241 (2009) [Google Scholar]
  14. R. Herman, I. Prigogine, A two – fluid approach to town traffic, “Science”, 204, pp. 148-151 (1979) [Google Scholar]
  15. M. Keyvan-Ekbatani, M. Papageorgiou, I. Papamichail, Perimeter Traffic Control via Remote Feedback Gating, Procedia - Social and Behavioral Sciences, 111, 5 February 2014, Pages 645-653 (2014) [Google Scholar]
  16. H. Mahmassani, J.C. Williams and R. Herman, Investigation of Network-Level Traffic Flow Relationships: Some Simulation Results, In Transportation Research Record 971, TRB, National Research Council, Washington, D.C., pp. 121-130 (1984) [Google Scholar]
  17. G.A. Mendez, L.R. da Silva, H.J. Herrmann, Traffic gridlock on complex networks, Physica A: Statistical Mechanics and its Applications, 391(1), 362-370 (2012) [Google Scholar]
  18. Y. Ji, W. Daamen, S. Hoogendoorn, S. Hoogendoorn-Lanser, and X. Qian, Macroscopic fundamental diagram: investigating its shape using simulation data, Transportation Research Record, Journal of the Transporation Research Board, 2161 pp. 42-48., 2010 (2010) [Google Scholar]
  19. R.J. Smeed, Road Capacity of City Centers, Traffic Engineering and Control, 8(7), Pages 455-458 (1966) [Google Scholar]
  20. J.G. Wardrop, Journey Speed and Flow in Central Urban Areas, Traffic Engineering and Control, 9(11), 528-532 (1968) [Google Scholar]
  21. J.C. Williams, H.S. Mahmassani, and R. Herman, Sampling Strategies for Two-Fluid Model Parameter Estimation in Urban Networks, Transportation Research Part A, 29 (3), pp. 229-244 (1995) [Google Scholar]
  22. X. Wu, H. Liu and N. Geroliminis An empirical analysis on the arterial fundamental diagram, Transportation Research Part B: Methodological, 45(1), pp. 255-266 (2011) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.