OPTIMIZATION OF URBAN MULTI-INTERSECTION TRAFFIC FLOW VIA Q-LEARNING

OPTIMIZATION OF URBAN MULTI-INTERSECTION TRAFFIC FLOW VIA Q-LEARNING

Congestions of the traffic flow within the urban traffic network have been a challenging task for all the urban developers. Many approaches have been introduced into the current system to solve the traffic congestion problems. Reconfiguration of the traffic signal timing plan has been carried out th...

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Bibliographic Details
Main Authors:	Yit Kwong Chin, Heng Jin Tham, N.S.V. Kameswara Rao, Nurmin Bolong, Kenneth Tze Kin Teo
Format:	Article
Language:	English
Published:	ICT Academy of Tamil Nadu 2013-01-01
Series:	ICTACT Journal on Soft Computing
Subjects:	Reinforcement Learning Q-Learning Traffic Networks Traffic Signal Timing Plan Management Multi-Agents Systems
Online Access:	http://ictactjournals.in/paper/IJSC(Jan2013)_Vol3_Iss2_P5_485to491.pdf

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