Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Field data application of a non-lane-based multi-class traffic flow model

Field data application of a non-lane-based multi-class traffic flow model

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Intelligent Transport Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Multi-class traffic flow modelling has various approaches several of which have focused on analytical proofs. A key limitation in this field of research is the limited field data applications. This study proposes a speed-gradient-based multi-class second-order model and shows its application to three different road sections, a mid-block section, a section with a bottleneck, and a section with a signal at the end, in Chennai, India. The model captures the congestion formation and dissipation phenomena well and could predict outflow and speed fluctuations generally observed in the field scenarios accurately. The prediction of traffic flow dynamics by the proposed model is also observed to be better when compared with two existing higher-order multi-class models.

References

    1. 1)
      • 7. Chanut, S., Buisson, C.: ‘A macroscopic model and its numerical solution for a two flow mixed traffic with different speeds and lengths’, Transp. Res. Rec., 2003, 1852, pp. 209219.
    2. 2)
      • 10. Nair, R., Mahmassani, H.S., Hooks, E.M.: ‘A porous flow approach to modelling heterogeneous traffic in disordered system’, Transp. Res. B, 2011, 45, (9), pp. 13311345.
    3. 3)
      • 26. Arasan, V.T., Dhivya, G.: ‘Simulation of highly heterogeneous traffic flow characteristics’. 24th European Conf. on Modeling and Simulation, Kuala Lumbur, Malaysia, 2010, pp. 6086.
    4. 4)
      • 8. Logghe, S., Immers, L.H.: ‘Multi-class kinematic wave theory of traffic flow’, Transp. Res. B, Methodol., 2008, 42, pp. 523541.
    5. 5)
      • 21. Jiang, R., Wu, Q.S.: ‘Extended speed gradient model for mixed traffic’, Transp. Res. Rec., 2004, 1883, pp. 7884.
    6. 6)
      • 16. Wong, G.C.K., Wong, S.C.: ‘A multi-class traffic flow model - an extension of LWR model with heterogeneous drivers’, Transp. Res. A, 2002, 36, (9), pp. 763848.
    7. 7)
      • 1. Lighthill, M.J., Whitham, G.B.: ‘On kinematic waves. II. A theory of traffic flow on long crowed roads’, Proc. R. Soc. A, 1955, 229, pp. 281345.
    8. 8)
      • 19. Mohan, R., Ramadurai, G.: ‘Heterogeneous traffic flow modelling using second-order macroscopic continuum model’, Phys. Lett. A, 2017, 381, pp. 115123.
    9. 9)
      • 20. Qian, Z., Li, J., Li, X., et al: ‘Modeling heterogeneous traffic flow: a pragmatic approach’, Transp. Res. B, 2017, 99, pp. 183204.
    10. 10)
      • 14. Laval, J.A., Daganzo, F.C.: ‘Multi-lane hybrid traffic flow model: a theory on the impacts of lane-changing maneuvers’, 2004. Available at https://pdfs.semanticscholar.org/1299/842268cb919ff0a0f964cc6c22bc6e5d59eb.pdf.
    11. 11)
      • 25. Kuhne, R., Michalopoulos, P.: ‘Chapter 5: continuum flow models’[Revised Monograph on Traffic Flow Theory], 2001.
    12. 12)
      • 4. Zhang, H.M.: ‘A theory of non-equilibrium traffic flow’, Transp. Res. B, 1998, 32, pp. 485498.
    13. 13)
      • 12. Gashaw, S., Gaotin, P., Harri, J.: ‘Modeling and analysis of mixed flow of cars and powered two wheelers’, Transp. Res. C, 2018, 89, pp. 148167.
    14. 14)
      • 17. Zhang, P., Wong, S.C., Shu, C.W.: ‘A weighted essentially non-oscillatory numerical scheme for a multi-class traffic flow model on an inhomogeneous highway’, J. Comput. Phys., 2006, 212, (2), pp. 739756.
    15. 15)
      • 18. Ngoduy, D.: ‘Macroscopic discontinuity modeling for multi-class multi-lane traffic flow operations’. Delft University of Technology, 2006.
    16. 16)
      • 15. Holland, E.N., Woods, W.A.: ‘A continuum model for the dispersion of traffic on two-lane roads’, Transp. Res. B, 1997, 31, (6), pp. 473485.
    17. 17)
      • 23. Mohan, R., Ramadurai, G.: ‘Numerical study with field data for macroscopic continuum modelling of Indian traffic’, Transp. Dev. Econ., 2019, 5, p.16.
    18. 18)
      • 3. Aw, A., Rascle, M.: ‘Resurrection of ‘second order’ models of traffic flow’, SIAM J. Appl. Math., 2000, 60, pp. 916938.
    19. 19)
      • 13. Munjal, P.K., Pipes, L.A.: ‘Propagation of on-ramp density perturbations on unidirectional two and three lane freeways’, Transp. Res., 1971, 5, (4), pp. 241255.
    20. 20)
      • 6. Jiang, R., Wu, Q.S., Zhu, Z.J.: ‘A new continuum model for traffic flow and numerical tests’, Transp. Res. B, 2002, 36, pp. 405419.
    21. 21)
      • 2. Payne, H.J.: ‘Models of freeway traffic and control’, in Bekey, G.A. (Ed.): ‘Mathematical models of public systems’ (Simulation Councils, Inc., La Jolla, CA, USA., 1971).
    22. 22)
      • 11. Fan, S., Work, B.D.: ‘A heterogeneous multi-class traffic flow model with creeping’, SIAM J. Appl. Math., 2015, 75, pp. 813835.
    23. 23)
      • 9. Ngoduy, D., Liu, R.: ‘Multiclass first-order simulation model to explain non-linear traffic phenomena’, Physica A, 2007, 385, (2), pp. 667682.
    24. 24)
      • 24. Johnson, S.G.: ‘The NLopt non-linear optimization package’, 2009. Available at http://ab-initio.mit.edu.
    25. 25)
      • 22. Tang, T.Q., Huang, H.J., Zhao, S.G., et al: ‘A new dynamic model for heterogeneous traffic flow’, Phys. Lett. A, 2009, 373, pp. 24612466.
    26. 26)
      • 5. Zhang, H.M.: ‘A non-equilibrium traffic model devoid of gas-like behavior’, Transp. Res. B, 2002, 36, pp. 275290.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2019.0583
Loading

Related content

content/journals/10.1049/iet-its.2019.0583
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address