Transportation Policy Evaluation Using Minority Games and Agent-Based Simulation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Hajar Baghcheband (Autor) Outra; Zafeiris Kokkinogenis (Autor) FEUP; Rosaldo J. F. Rossetti (Autor) FEUP

Ata de Conferência Internacional

Título: 2019 IEEE International Smart Cities Conference, ISC2 2019, Casablanca, Morocco, October 14-17, 2019

Páginas: 498-503

5th IEEE International Smart Cities Conference, ISC2 2019

14 October 2019 through 17 October 2019

Indexação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00S-553

DOI: 10.1109/isc246665.2019.9071668

Abstract (EN): Traffic congestion is an issue regarding the vitality of cities and the welfare of citizens. Transportation systems are using various technologies to allow users to adapt and make different decisions towards transportation modes. Modification and improvement of these systems affect the commuters' perspective and social welfare. In this study, the effect of road flow equilibrium on commuters' utilities with different types of transportation modes will be discussed. A simple network with two modes of transportation will be illustrated and three different cost policies were considered to test the efficiency of reinforcement learning in commuters' daily trip decision-making regarding time and mode. The artificial society of agents is simulated to analyse the results. © 2019 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6