Optimization-Simulation Model for Planning Supply Transport to Large Infrastructure Public Works Located in Congested Urban Areas

This article proposes an optimization-simulation model for planning supply transport to large infrastructure public works located in congested urban areas, in order to minimize their impact on the environment and on private transport users of the local road network. To reach this goal, a optimization problem is proposed and solved for minimizing the total system cost: the operational costs of the diverse transport alternatives and the costs for the private transport users caused by increased congestion due to the circulation of heavy goods vehicles transporting material to works site. This optimization problem is proposed as a bi-level mathematical programming model. The upper level defines the function of the total cost of the system which has to be minimized subject to environmental restrictions on atmospheric and sound pollution. The lower level defines the optimization problem that defines private transport user behavior, assuming they choose the route that reduces their total individual journey costs to a minimum. Given the difficulties associated with solving this problem due to the uniqueness of the solution, a heuristic algorithm is proposed for generating acceptable answers. Both the developed model and the specific solution algorithm are applied to the real case of a new port at Laredo (Northern Spain), obtaining a series of conclusions from the corresponding sensitivity analysis.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01053992
  • Record Type: Publication
  • Report/Paper Numbers: 07-1867
  • Files: TRIS, TRB
  • Created Date: Feb 8 2007 6:34PM