2022
DOI: 10.1109/access.2022.3185106
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Designing Electronic Traffic Information Acquisition System Using Deep Learning and Internet of Things

Abstract: In implementing the Intelligent Traffic Monitoring System (ITMS), timely and effective access to road traffic information is an essential link. It requires an effective traffic Information Acquisition System (IAS) to collect real-time data and transmit the collected information to the background for processing. Therefore, this paper studies on-road vehicle information recognition based on Deep Learning (DL). Firstly, a framework of traffic IAS is proposed. Then, an improved MT-GooGleNet model based on Convolut… Show more

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Cited by 1 publication
(1 citation statement)
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“…They found that the classification accuracy of the fine-tuned multitask GooGleNet was 99.5%. The positioning accuracy was much higher than in similar research works [7]. Kundu The simulation results showed that the proposed scheme was suitable for underwater target information search, with an extremely high success rate [14].…”
Section: Introductionmentioning
confidence: 99%
“…They found that the classification accuracy of the fine-tuned multitask GooGleNet was 99.5%. The positioning accuracy was much higher than in similar research works [7]. Kundu The simulation results showed that the proposed scheme was suitable for underwater target information search, with an extremely high success rate [14].…”
Section: Introductionmentioning
confidence: 99%