A Fluid-Based Approximation Approach for Optimizing Dynamic Queuing Networks: Application to Seaport Truck Appointment Systems

This paper adapts an analytical fluid-based approximation model to characterize queuing systems with time-dependent arrival and service rates. Compared to Monte Carlo simulation, this computationally efficient analytical method can be embedded into a mathematical programming model to optimize demand or supply management strategies. Based on a dynamic system optimum network flow assignment framework, this study developed a nonlinear optimization model to determine seaport truck appointment quotas over different time slots, while fluid-based approximation is used to estimate the time-varying truck queue evolution at gates and yards. Using Monte Carlo simulation as a benchmark, numerical experiments are conducted to evaluate the computational efficiency and accuracy of the proposed approach.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References;
  • Pagination: 26p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01155524
  • Record Type: Publication
  • Report/Paper Numbers: 10-3222
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:35AM