Artificial intelligent traffic signal controlling system, method and computer program product thereof
A traffic signal controlling system includes a pre-training neural network, a decision neural network and a control unit. The pre-training neural network executes reinforcement learning by using a plurality of training data. The decision neural network analyzes a real time traffic data according to...
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creator | HUANG, YOU-HENG HWANG, MINGORNG HSU, CHIAUN WAN, CHIA-HAO |
description | A traffic signal controlling system includes a pre-training neural network, a decision neural network and a control unit. The pre-training neural network executes reinforcement learning by using a plurality of training data. The decision neural network analyzes a real time traffic data according to training result of the pre-training neural network to generate a decision for controlling a traffic signal within a controllable range. The control unit controls the traffic signal within the controllable range according to the decision. |
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The pre-training neural network executes reinforcement learning by using a plurality of training data. The decision neural network analyzes a real time traffic data according to training result of the pre-training neural network to generate a decision for controlling a traffic signal within a controllable range. The control unit controls the traffic signal within the controllable range according to the decision.</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS ; SIGNALLING ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231101&DB=EPODOC&CC=TW&NR=202343391A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231101&DB=EPODOC&CC=TW&NR=202343391A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG, YOU-HENG</creatorcontrib><creatorcontrib>HWANG, MINGORNG</creatorcontrib><creatorcontrib>HSU, CHIAUN</creatorcontrib><creatorcontrib>WAN, CHIA-HAO</creatorcontrib><title>Artificial intelligent traffic signal controlling system, method and computer program product thereof</title><description>A traffic signal controlling system includes a pre-training neural network, a decision neural network and a control unit. 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The pre-training neural network executes reinforcement learning by using a plurality of training data. The decision neural network analyzes a real time traffic data according to training result of the pre-training neural network to generate a decision for controlling a traffic signal within a controllable range. The control unit controls the traffic signal within the controllable range according to the decision.</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS SIGNALLING TRAFFIC CONTROL SYSTEMS |
title | Artificial intelligent traffic signal controlling system, method and computer program product thereof |
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