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

Nadav Levy, Eran Ben-Elia

نتاج البحث: نشر في مجلةمقالة من مؤنمرمراجعة النظراء


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.

اللغة الأصليةإنجليزيّة أمريكيّة
الصفحات (من إلى)928-933
عدد الصفحات6
دوريةProcedia Computer Science
مستوى الصوت83
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 1 يناير 2016
الحدث7th International Conference on Ambient Systems, Networks and Technologies, ANT 2016 and the 6th International Conference on Sustainable Energy Information Technology, SEIT 2016 - Madrid, أسبانيا
المدة: ٢٣ مايو ٢٠١٦٢٦ مايو ٢٠١٦

All Science Journal Classification (ASJC) codes

  • !!General Computer Science


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