Study of intersection traffic control based on agent - Details

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EI Scopus

Abstract：

using　reinforcement　learning　technology　and　combining　with　the　structure　of　modular　network,　a　new　model　of　Agent　controllable　structure　based　on　a　intersection　is　proposed.　On　the　basis　of　the　idea　of　divide　and　rule　methodology,　the　complex　problem　of　traffic　signal　control　is　divided　into　local　expert　unit,　which　improves　the　efficiency　of　learning,　and　the　integrated　unite　will　coordinate　the　outputs　of　local　expert　unit,　then　a　controllable　signal　of　the　whole　system　will　be　gained.　Combined　it　with　phase　selected　unit,　the　task　of　traffic　signal　control　is　achieved　together.　Finally,　the　effectiveness　and　reliability　of　the　approach　is　fully　proved　by　PARAMICS　simulation.　©2006　IEEE.

Keyword：

Street traffic control Large scale systems Problem solving Gain control Reliability theory Reinforcement learning Traffic signals

Author Community：

[ 1 ] [Guoyong, Zhao]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022
[ 2 ] [Pingyuan, Cui]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022
[ 3 ] [Yuzhen, Yang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022
[ 4 ] [Yangzhou, Chen]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022
[ 5 ] [Xiaohua, Zhao]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022
[ 6 ] [Dong, Chen]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022