A Method of Estimating Parameters on Transportation Equilibrium Models: Toward Integration Analysis on Both Demand and Supply Sides

In network equilibrium analysis, estimation of parameters on both demand and supply sides is essential when applying the models to real-world networks. Link flow data are convenient for estimating parameters because it is easy for us to obtain them. In this study, we propose a maximum likelihood method of estimating parameters on network equilibrium models. Then, we derive first and second derivatives of the likelihood function under the equilibrium constraint. Using the likelihood function and its derivatives, t values and other statistical indices are provided to examine the confidence of estimated parameters and the model itself. Furthermore, we examine which conditions are needed for consistency, asymptotic efficiency, and asymptotic normality for the maximum likelihood method with non-I.I.D. link flow data.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01047532
  • Record Type: Publication
  • Report/Paper Numbers: 07-2067
  • Files: TRIS, TRB
  • Created Date: Feb 8 2007 6:46PM