Dynamic revenue management of a toll road project under transportation demand uncertainty

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21 Citations (Scopus)


This study proposes a prototype quantitative method for dynamic revenue management of a private toll road, taking into account the long-term dynamics of transportation demand. This is first formulated as a stochastic singular control problem, in which the manager can choose the toll level from two discrete values. Each toll change requires nonnegative adjustment costs. Our analysis then reveals that the optimality condition reduces to standard linear complementarity problems, by using certain function transformation techniques. This enables us to develop an efficient algorithm for solving the problem, exploiting the recent advances in the theory of complementarity problems.

Original languageEnglish
Pages (from-to)345-357
Number of pages13
JournalNetworks and Spatial Economics
Issue number3-4
Publication statusPublished - 2006 Sep


  • Dynamic revenue management
  • Generalized complementarity problem
  • Stochastic singular control
  • Toll road projects
  • Transportation demand uncertainty

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence


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