Skip to main content

C-Logit Stochastic System Optimum Traffic Assignment

  • Conference paper
  • First Online:
Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 454))

Abstract

The C-logit model proposed by Cascetta et al. in 1996 aims at resolving the route overlapping problem in logit-based stochastic traffic assignment, being lack of economic meanings. In this paper, we formulate the C-logit system optimum as a mathematical program through maximizing the system’s economic benefit. Numerical studies are conducted for illustrating C-logit system optimum and user equilibrium.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Sheffi Y (1985) Urban transportation networks. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  2. Daganzo CF, Sheffi Y (1977) On stochastic models of traffic assignment. Transp Sci 11:253–274

    Article  Google Scholar 

  3. Bekhor S, Prashker JN (2001) Stochastic user equilibrium formulation for generalized nested logit model. Transp Res Rec 1752:84–90

    Article  Google Scholar 

  4. Huang HJ, Wang SY, Bell MGH (2001) A bi-level formulation and quasi-Newton algorithm for stochastic equilibrium network design problem with elastic demand. J Syst Sci Complex 14:34–50

    MathSciNet  Google Scholar 

  5. Chen P, Kasikitwiwat Z, Ji Z (2003) Solving the overlapping problem in route choice with paired combinatorial logit model. Transp Res Rec 1857:65–73

    Article  Google Scholar 

  6. Papola A (2004) Some developments on the cross-nested logit model. Transp Res B-Meth 38B:833–851

    Article  Google Scholar 

  7. Huang HJ, Liu TL, Guo XL, Yang H (2011) Inefficiency of logit-based stochastic user equilibrium in a traffic network under ATIS. Netw Spat Econ 11:255–269

    Article  MathSciNet  MATH  Google Scholar 

  8. Pravinvongvuth S, Chen A (2005) Adaptation of the paired combinatorial logit model to the route choice problem. Transportmetrica 1:223–240

    Article  Google Scholar 

  9. Hoogendoorn S, Bovy P (2007) Modeling overlap in multimodal route choice by including trip part-specific path size factors. Transp Res Rec 2003:78–83

    Google Scholar 

  10. Cascetta E, Nuzzolo A, Russo F, Vitetto A (1996) A modified logit route choice model overcoming path overlapping problems: specification and some calibration results for interurban networks. In: Proceedings of the 13th international symposium on transportation and traffic theory, Lyon, pp 697–711

    Google Scholar 

  11. Zhou Z, Chen A, Bekhor S (2012) C-logit stochastic user equilibrium model: formulations and solution algorithm. Transportmetrica. 8:17–41

    Article  Google Scholar 

  12. Maher M, Stewart K, Rosa A (2005) Stochastic social optimum traffic assignment. Transp Res B-Meth 39B:753–767

    Article  Google Scholar 

  13. Yang H (1999) System optimum, stochastic user equilibrium, and optimal link tolls. Transp Sci 33:354–360

    Article  MATH  Google Scholar 

  14. Williams HCWL (1977) On the formation of travel demand models and economic evaluation measures of user benefits. Environ Plann A 9:285–344

    Article  Google Scholar 

  15. Small KA, Rosen HS (1981) Applied welfare economics with discrete choice models. Econometrica. 49:105–130

    Article  MathSciNet  MATH  Google Scholar 

  16. Oppenheim N (1995) Urban travel demand modeling: from individual choices to general equilibrium. Wiley, New York

    Google Scholar 

Download references

Acknowledgments

This research was financially supported by the National Basic Research Program of China (2012CB725401), the National Natural Science Foundation of China (71401083), and the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region (NJYT15B06).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gui Yong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Yong, G., Xu, Y. (2017). C-Logit Stochastic System Optimum Traffic Assignment. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-319-38789-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-38789-5_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38787-1

  • Online ISBN: 978-3-319-38789-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics