2011 Seventh International Conference on Natural Computation 2011
DOI: 10.1109/icnc.2011.6022063
| View full text |Cite
Sign up to set email alerts

Abstract: Since congestion of traffic is ubiquitous in the modern city, optimizing the behavior of traffic lights for efficient traffic flow is a critically important goal. However,agents often select only locally optimal actions without coordinating their neighbor intersections. In this paper, an urban road traffic area-wide coordination control algorithm based on collaborative Qlearning is proposed. The agent model of traffic intersections is demonstrated. The algorithm substantially reduces average vehicular delay by… Show more

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles