Transportation Policy Evaluation Using Minority Games and Agent-Based Simulation

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Hajar Baghcheband (Author) Other; Zafeiris Kokkinogenis (Author) FEUP; Rosaldo J. F. Rossetti (Author) FEUP

Conference proceedings International

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

Pages: 498-503

5th IEEE International Smart Cities Conference, ISC2 2019

14 October 2019 through 17 October 2019

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6