Bandwidth Synchronization Under Progression Time Uncertainty

Deterministic progression time is generally assumed in bandwidth optimization models. However, progression time is cycle-by-cycle time varying and generally longer than the deterministic value. Progression time uncertainty has a considerable impact on the bandwidth that is obtained with deterministic data. In addition, the authors prove that there exist infinite optimal solutions in the MAXBAND model if a known optimal solution holds some properties. Different optimal solutions may have different sensitivities to progression time uncertainty. In this paper, the authors develop a two-phase approach. In the first phase the MAXBAND models with perturbation controlled by a parameter is solved and a number of optimal or suboptimal plans are generated, and in the second phase the Monte Carlo method is applied to simulate random progression time, evaluate the generated plans, and rank them by the reliability. The authors also conduct extensive microscopic traffic simulation using VISSIM to evaluate delays and stops for certain optimal plans. Some observations are made.

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  • English

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  • Accession Number: 01527101
  • Record Type: Publication
  • Files: TLIB, TRIS
  • Created Date: May 5 2014 11:56AM