Emergence of System Optimum: A Fair and Altruistic Agent-based Route-choice Model

The System Optimum, an optimal traffic assignment that minimizes the total travel costs on the road network is usually only referred to as a comparison to self-emerging user equilibrium. In this paper the authors investigate how different behavioral aspects of drivers can self-organize towards a system optimum that minimizes travel costs while providing benefits and preserving equity among drivers. The authors present a simple binary route-choice Agent-Based Model that provides a disaggregated view of driver behavior and a unique understanding of the potential of cognitive reinforcement models to effect a convergence to user equilibrium and a shift in driver behavior toward a system optimum without the need for an enforcing traffic policy such as tolls.


  • English

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  • Accession Number: 01603989
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 16 2016 2:06PM