Skip to main content
Log in

Dynamic shortest path problems with time-varying costs

  • Short Communication
  • Published:
Optimization Letters Aims and scope Submit manuscript

Abstract

This paper concerns the problem of finding shortest paths from one node to all other nodes in networks for which arc costs can vary with time, each arc has a transit time, and parking with a corresponding time-varying cost is allowed at the nodes. The transit times can also take negative values. A general labeling method, as well as several implementations, are presented for finding shortest paths and detecting negative cycles under the assumption that arc traversal costs are piecewise linear and node parking costs are piecewise constant.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Ahuja R.K., Magnanti T.L., Orlin J.B.: Network Flows: Theory, Algorithms, and Applications. Prentice-Hall, Inc., New Jersey (1993)

    Google Scholar 

  2. Ahuja R.K., Orlin J.B., Pallottino S., Scutella M.G.: Dynamic Shortest Paths Minimizing Travel Times and Costs. Networks 41, 197–205 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  3. Cai X., Kloks T., Wong C.K.: Time-varying shortest path problems with constraints. Networks 29, 141–149 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  4. Chabini L.: Discrete dynamic shortest path problems in transportation applications: Complexity and algorithms with optimal run time. Transp. Res. Rec. 1645, 170–175 (1998)

    Article  Google Scholar 

  5. Cooke L., Halsey E.: The shortest route through a network with time-dependent internodal transit times. J. Math. Anal. Appl. 14, 492–498 (1966)

    MathSciNet  Google Scholar 

  6. Cherkassky B.V., Goldberg A.V.: Negative-cycle detection algorithms. Math. Program. 85, 277–311 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  7. Dreyfus S.E.: An appraisal of some shortest-path algorithms. Oper. Res. 17, 395–412 (1969)

    Article  MATH  Google Scholar 

  8. Kaufman D.E., Smith R.L.: Fastest paths in time-dependent networks for intelligent vehicle-highway systems application. IVHS J. 1, 1–11 (1993)

    Google Scholar 

  9. Nasrabadi, E.: Dynamic Flow in Time-varing Networks, Ph.D. thesis, Amirkabir University of Technology & Technische Universität Berlin, Iran & Germany (2009)

  10. Orda A., Rom R.: Shortest-path and minimum-delay algorithms in networks with time-dependent edge length. J. Assoc. Comput. Mach. 37, 607–625 (1990)

    MATH  MathSciNet  Google Scholar 

  11. Orda A., Rom R.: Minimum weight paths in time-dependent networks. Networks 21, 295–320 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  12. Pallottino S., Scutella M.G.: Shortest path algorithms in transportation models: Classical and innovative aspects. In: Marcotte, P., Nguyen, S. (eds) Equilibrium and advanced transportation modelling, pp. 245–281. Kluwer, Norwell (1998)

    Google Scholar 

  13. Philpott A.B., Mees A.I.: Continuous-time shortest path problems with stopping and starting costs. Appl. Math. Lett. 5, 63–66 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  14. Philpott A.B., Mees A.I.: A finite-time algorithm for shortest path problems with time-varying costs. Appl. Math. Lett. 6, 91–94 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  15. Pilpoitt A.B.: Continuous-time shortest path problems and linear programming. SIAM J. Control Optim. 32, 538–552 (1994)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shaghayegh Mokarami.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hashemi, S.M., Mokarami, S. & Nasrabadi, E. Dynamic shortest path problems with time-varying costs. Optim Lett 4, 147–156 (2010). https://doi.org/10.1007/s11590-009-0162-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11590-009-0162-5

Keywords

Navigation