Transportation Policy Evaluation using Minority Games and Agent-Based Simulation
Ref: CISTER-TR-191004 Publication Date: 14 to 17, Oct, 2019
Transportation Policy Evaluation using Minority Games and Agent-Based Simulation
Ref: CISTER-TR-191004 Publication Date: 14 to 17, Oct, 2019Abstract:
Traffic congestion threats 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 based on time and mode. The artificial
society of agents is simulated to analyze the results.
Hajar Baghcheband
Zafeiris KokkinogenisEvents:
Document:
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Download5th IEEE International Smart Cities Conference (ISC2 2019), pp 498-503.
Casablanca, Morocco.
DOI:10.1109/ISC246665.2019.9071668.
ISBN: 978-1-7281-0846-9.
ISSN: 2687-8860.
Record Date: 17, Oct, 2019