Skip to main content

From Kinetic to Macroscopic Models and Back

  • Conference paper
  • First Online:
Mathematical Descriptions of Traffic Flow: Micro, Macro and Kinetic Models

Part of the book series: SEMA SIMAI Springer Series ((ICIAM2019SSSS,volume 12))

  • 508 Accesses

Abstract

We study kinetic models for traffic flow characterized by the property of producing backward propagating waves. These waves may be identified with the phenomenon of stop-and-go waves typically observed on highways. In particular, a refined modeling of the space of the microscopic speeds and of the interaction rate in the kinetic model allows to obtain weakly unstable backward propagating waves in dense traffic, without relying on non-local terms or multi–valued fundamental diagrams. A stability analysis of these waves is carried out using the Chapman-Enskog expansion. This leads to a BGK-type model derived as the mesoscopic limit of a Follow-The-Leader or Bando model, and its macroscopic limit belongs to the class of second-order Aw-Rascle and Zhang models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. A. Aw, A. Klar, T. Materne, M. Rascle, Derivation of continuum traffic flow models from microscopic follow-the-leader models. SIAM J. Appl. Math. 63(1), 259–278 (2002)

    Article  MathSciNet  Google Scholar 

  2. A. Aw, M. Rascle, Resurrection of “second order” models of traffic flow. SIAM J. Appl. Math. 60(3), 916–938 (electronic) (2000)

    Google Scholar 

  3. M. Bando, K. Hasebe, A. Nakayama, A. Shibata, Y. Sugiyama, Dynamical model of traffic congestion and numerical simulation. Phys. Rev. E 51(2), 1035–1042 (1995)

    Article  Google Scholar 

  4. P.L. Bhatnagar, E.P. Gross, M. Krook, A model for collision processes in gases. I. Small amplitude processes in charged and neutral one-component systems. Phys. Rev. 94(3), 511–525 (1954)

    MATH  Google Scholar 

  5. R. Borsche, A. Klar, A nonlinear discrete velocity relaxation model for traffic flow. SIAM J. Appl. Math. 78(5), 2891–2917 (2018)

    Article  MathSciNet  Google Scholar 

  6. G.-q. Chen, C.D. Levermore, T.-P. Liu, Hyperbolic conservation laws with stiff relaxation terms and entropy. Comm. Pure Appl. Math. 47, 787–830 (1992)

    Article  MathSciNet  Google Scholar 

  7. G. Dimarco, L. Pareschi, Asymptotic preserving implicit-explicit Runge-Kutta methods for non linear kinetic equations. SIAM J. Num. Anal. 51, 1064–1087 (2013)

    Article  Google Scholar 

  8. L. Fermo, A. Tosin, A fully-discrete-state kinetic theory approach to modeling vehicular traffic. SIAM J. Appl. Math. 73(4), 1533–1556 (2013)

    Article  MathSciNet  Google Scholar 

  9. D. Gazis, R. Herman, R. Rothery, Nonlinear follow-the-leader models of traffic flow. Oper. Res. 9(4), 545–567 (1961)

    Article  MathSciNet  Google Scholar 

  10. M. Herty, S. Moutari, G. Visconti, Macroscopic modeling of multilane motorways using a two-dimensional second-order model of traffic flow. SIAM J. Appl. Math. 78(4), 2252–2278 (2018)

    Article  MathSciNet  Google Scholar 

  11. M. Herty, G. Puppo, S. Roncoroni, G. Visconti, The BGK approximation of kinetic models for traffic. Kinet. Relat. Models (2020, in press)

    Google Scholar 

  12. S. Jin, Z. Xin, The relaxation schemes for systems of conservation laws in arbitrary space dimensions. Comm. Pure Appl. Math. 48, 235–277 (1995)

    Article  MathSciNet  Google Scholar 

  13. A. Klar, R. Wegener, Enskog-like kinetic models for vehicular traffic. J. Stat. Phys. 87, 91 (1997)

    Article  MathSciNet  Google Scholar 

  14. M.J. Lighthill, G.B. Whitham, On kinematic waves. II. A theory of traffic flow on long crowded roads. Proc. Roy. Soc. Lond. Ser. A. 229, 317–345 (1955)

    MATH  Google Scholar 

  15. L. Pareschi, G. Toscani, Interacting Multiagent Systems. Kinetic equations and Monte Carlo methods (Oxford University Press, 2013)

    Google Scholar 

  16. G. Puppo, M. Semplice, A. Tosin, G. Visconti, Analysis of a multi-population kinetic model for traffic flow. Commun. Math. Sci. 15(2), 379–412 (2017)

    Article  MathSciNet  Google Scholar 

  17. G. Puppo, M. Semplice, A. Tosin, G. Visconti, Kinetic models for traffic flow resulting in a reduced space of microscopic velocities. Kinet. Relat. Mod. 10(3), 823–854 (2017)

    Article  MathSciNet  Google Scholar 

  18. P.I. Richards, Shock waves on the highway. Oper. Res. 4, 42–51 (1956)

    Article  MathSciNet  Google Scholar 

  19. S. Roncoroni, Kinetic modelling of vehicular traffic flow. Technical report, Università degli Studi dell’Insubria, 2017. Master Thesis.

    Google Scholar 

  20. B. Seibold, M.R. Flynn, A.R. Kasimov, R.R. Rosales, Constructing set-valued fundamental diagrams from Jamiton solutions in second order traffic models. Netw. Heterog. Media 8(3), 745–772 (2013)

    Article  MathSciNet  Google Scholar 

  21. H.M. Zhang, A non-equilibrium traffic model devoid of gas-like behavior. Transp. Res. B-Meth. 36(3), 275–290 (2002)

    Article  Google Scholar 

Download references

Acknowledgements

The research of M. Herty and G. Visconti is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC-2023 Internet of Production—390621612 as well as by DFG HE5386/13.

G. Puppo and G. Visconti acknowledge also support from GNCS (Gruppo Nazionale per il Calcolo Scientifico) of INdAM (Istituto Nazionale di Alta Matematica), Italy.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gabriella Puppo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Herty, M., Puppo, G., Visconti, G. (2021). From Kinetic to Macroscopic Models and Back. In: Puppo, G., Tosin, A. (eds) Mathematical Descriptions of Traffic Flow: Micro, Macro and Kinetic Models. SEMA SIMAI Springer Series(), vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-66560-9_2

Download citation

Publish with us

Policies and ethics