Multi-agent reinforcement learning for integrated and networked adaptive traffic signal control
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Nov 14, 2017
Issued Date -
N/A
app pub date -
Dec 10, 2012
filing date -
Dec 16, 2011
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
A system and method of multi-agent reinforcement learning for integrated and networked adaptive traffic controllers (MARLIN-ATC). Agents linked to traffic signals generate control actions for an optimal control policy based on traffic conditions at the intersection and one or more other intersections. The agent provides a control action considering the control policy for the intersection and one or more neighboring intersections. Due to the cascading effect of the system, each agent implicitly considers the whole traffic environment, which results in an overall optimized control policy.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully