Title

A fuzzy Q-learning approach to simulate intelligent traffic control

Document Type

Conference Proceeding

Publication Date

1-1-2010

Publication Title

8th International Industrial Simulation Conference 2010, ISC 2010

Abstract

This paper is particularly concerned with the representation of an agent behaviour suitable to model autonomous and efficient traffic control at urban network junctions. Network control efficiency is expected thus to emerge from these simpler autonomous entities cohabitating in a common environment. A fuzzy Q-learning approach is used to implement the agent-based reasoning and decision-making mechanisms and some preliminary simulation experiments are set up so as to assess the feasibility of our model to cope with urban traffic coordination.

First Page

257

Last Page

261

Identifier

SCOPUS_ID:84898403777

Documento original

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