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

Nadav Levy, Eran Ben-Elia

Research output: Contribution to journalConference articlepeer-review

21 Scopus citations

Abstract

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 we 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. We 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.

Original languageEnglish
Pages (from-to)928-933
Number of pages6
JournalProcedia Computer Science
Volume83
DOIs
StatePublished - 1 Jan 2016
Event7th International Conference on Ambient Systems, Networks and Technologies, ANT 2016 and the 6th International Conference on Sustainable Energy Information Technology, SEIT 2016 - Madrid, Spain
Duration: 23 May 201626 May 2016

Keywords

  • Agent-Based
  • Route-Choice
  • Social Optimum
  • User Equilibrium

ASJC Scopus subject areas

  • Computer Science (all)

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