A stimulus-response model of day-to-day network dynamics

Hsun-Jung Cho*, Ming Chorng Hwang

*Corresponding author for this work

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

A general structure of stimulus-response formula is presented to specify the interacted network dynamics under the assumption of a daily learning and adaptive travel behavior. By taking the time derivative of system variable as a response term, the evolution is formulated as a dynamic system. Issues of existence, uniqueness, and stability for the proposed differential equations are briefly discussed. Approximation of a time-varying route-choice model is derived from the addressed path-flow dynamics. Threshold effects on path-flow dynamics are encapsulated into the proposed general structure by incorporating a discontinuous stimulus term. Then, the quasi user equilibrium is achieved when all users feel indifferent between the experienced and predicted travel time provided by intelligent transportation systems, i.e., the whole system dynamics stay within a bounded range. The derived quasi user equilibrium is reduced to Wardrop's user equilibrium as the threshold effects of path-flow dynamics vanish.

Original languageEnglish
Pages (from-to)17-25
Number of pages9
JournalIEEE Transactions on Intelligent Transportation Systems
Volume6
Issue number1
DOIs
StatePublished - 1 Mar 2005

Keywords

  • Day-to-day network dynamics
  • Dynamic traffic assignment
  • Lyapunov stability
  • Stimulus-response formula
  • Threshold effect

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