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The Fundamental Diagram

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Traffic Flow Modelling

Part of the book series: EURO Advanced Tutorials on Operational Research ((EUROATOR))

Abstract

In the previous chapter, the main variables in traffic flow modelling were introduced. In this chapter, we discuss how they are related: obviously, high speeds seldom occur together with low headways, similarly, low densities create room for high speeds. Traffic flow models are based on the assumption that there is some relation between these variables. The relation between distance and velocity was first studied by Greenshields (The photographic method of studying traffic behavior. In: Proceedings of the 13th annual meeting of the highway research board (1934), pp 382–399) and called the fundamental relation (or fundamental diagram) later. Therefore, Greenshields is often regarded as the founder of traffic flow theory, and the fundamental diagram is the first model in the genealogical tree of traffic flow models (see Page 15).

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Bibliography

  • Bando M, Hasebe K, Nakayama A, Shibata A, Sugiyama Y (1995) Dynamical model of traffic congestion and numerical simulation. Phys Rev E Stat Nonlinear Soft Matter Phys 51:1035–1042

    Google Scholar 

  • Calvert SC, Taale H, Hoogendoorn SP (2016) Quantification of motorway capacity variation: influence of day type specific variation and capacity drop. J Adv Transp 50(4):570–588

    Google Scholar 

  • Cassidy MJ, Bertini RL (1999) Some traffic features at freeway bottlenecks. Transp Res B Methodol 33(1):25–42

    Google Scholar 

  • Chanut S, Buisson C (2003) Macroscopic model and its numerical solution for two-flow mixed traffic with different speeds and lengths. Transp Res Rec J Transp Res Board 1852:209–219

    Google Scholar 

  • Daganzo CF (1994) The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory. Transp Res B Methodol 28(4):269–287

    Google Scholar 

  • del Castillo J (2012) Three new models for the flow-density relationship: derivation and testing for freeway and urban data. Transportmetrica 8(6):443–465

    Google Scholar 

  • Edie L (1961) Car-following and steady-state theory for noncongested traffic. Oper Res 9(1):66–76

    Google Scholar 

  • Greenshields BD (1934) The photographic method of studying traffic behavior. In: Proceedings of the 13th annual meeting of the highway research board, pp 382–399

    Google Scholar 

  • Greenshields BD (1935) A study of traffic capacity. In: Proceedings of the 14th annual meeting of the highway research board, pp 448–477

    Google Scholar 

  • Kerner BS (2009) Introduction to modern traffic flow theory and control: the long road to three-phase traffic theory. Springer, Berlin

    Google Scholar 

  • Kerner BS, Rehborn H (1996) Experimental features and characteristics of traffic jams. Phys Rev E Stat Nonlinear Soft Matt Phys 53:1297–1300

    Google Scholar 

  • Laval JA (2011) Hysteresis in traffic flow revisited: an improved measurement method. Transp Res B Methodol 45(2):385–391

    Google Scholar 

  • Newell GF (1965) Instability in dense highway traffic, a review. In: The 2nd international symposium on the theory of traffic flow, 1963, pp 73–83

    Google Scholar 

  • Schnetzler B, Louis X (2013) Anisotropic second-order models and associated fundamental diagrams. Transp Res C Emerg Technol 27:131–139, selected papers from the Seventh Triennial Symposium on Transportation Analysis (TRISTAN VII)

    Google Scholar 

  • Smulders S (1990) Control of freeway traffic flow by variable speed signs. Transp Res B Methodol 24(2):111–132

    Google Scholar 

  • Srivastava A, Geroliminis N (2013) Empirical observations of capacity drop in freeway merges with ramp control and integration in a first-order model. Transp Res C Emerg Technol 30:161–177

    Google Scholar 

  • Treiber M, Hennecke A, Helbing D (2000) Congested traffic states in empirical observations and microscopic simulations. Phys Rev E Stat Nonlinear Soft Matter Phys 62(2):1805–1824

    Google Scholar 

  • Treiterer J, Myers JA (1974) The hysteresis phenomenon in traffic flow. In: Buckley D (ed) Proceedings of the 6th international symposium on transportation and traffic theory, 1974. Elsevier, Amsterdam, pp 13–38

    Google Scholar 

  • Zhang HM (1999) A mathematical theory of traffic hysteresis. Transp Res B Methodol 33(1):1–23

    Article  Google Scholar 

  • Zhang HM (2001) New perspectives on continuum traffic flow models. Netw Spat Econ 1:9–33

    Article  Google Scholar 

Further Reading

  • del Castillo J (2012) Three new models for the flow-density relationship: derivation and testing for freeway and urban data. Transportmetrica 8(6):443–465

    Google Scholar 

  • Kerner BS (2009) Introduction to modern traffic flow theory and control: the long road to three-phase traffic theory. Springer, Berlin

    Google Scholar 

  • Li MZF (2008) A generic characterization of equilibrium speed-flow curves. Transp Sci 42(2):220–235

    Google Scholar 

  • Zhang HM (1999) A mathematical theory of traffic hysteresis. Transp Res B Methodol 33(1):1–23

    Google Scholar 

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Kessels, F. (2019). The Fundamental Diagram. In: Traffic Flow Modelling. EURO Advanced Tutorials on Operational Research. Springer, Cham. https://doi.org/10.1007/978-3-319-78695-7_2

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