A Stochastic Multi-Modal Freight Transport Assignment Model with Random Coefficients

Freight transport assignment models are often purely deterministic models that search user or system optimal equilibrium. The models may follow a multi-class structure, i.e. allowing different weights on the attributes in the cost function for different modes and freight classes. However, few models follow a general utility maximum framework, that also allow for description of overlapping routes as well as heterogeneities within freight groups, i.e. random coefficients in the utility function. The paper presents a stochastic schedule-based freight transport assignment modeling framework that allow for both an error term dealing with the overlapping route problem, random coefficients dealing with heterogeneities, and cost functions dealing with capacity problems. This is done within different choice levels consisting of a set of possible mode and route alternatives.

• Corporate Authors:

  World Conference on Transport Research Society

  Secretariat, 14 Avenue Berthelot
  69363 Lyon cedex 07,   France 
• Authors:
  • Nielsen, Otto Anker
• Conference:
  • 10th World Conference on Transport Research
  • Location: Istanbul , Turkey
  • Date: 2004-7-4 to 2004-7-8
• Publication Date: 2004

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; Maps; References;
• Pagination: 20p
• Monograph Title: 10th World Conference on Transport Research

Subject/Index Terms

• TRT Terms: Freight traffic; Freight transportation; Mode choice; Multimodal transportation; Probits; Route choice; Schedules and scheduling
• Uncontrolled Terms: Mixed logit models; System optimal models; User equilibrium
• Subject Areas: Data and Information Technology; Freight Transportation; Railroads;

Filing Info

• Accession Number: 01087882
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 30 2008 11:42AM