Smart City Gnosys

Smart city article details

Title	Optimizing Internet Of Things-Based Intelligent Transportation System'S Information Acquisition Using Deep Learning
ID_Doc	40830
Authors	Cui Y.; Lei D.
Year	2023
Published	IEEE Access, 11
DOI	http://dx.doi.org/10.1109/ACCESS.2023.3242116
Abstract	This work first discusses the Intelligent Transportation System (ITS)-oriented dynamic and static Information Acquisition Models (IAMs) and explains the information collection mechanism of the Internet of Things (IoT)-based ITS. The goal is to improve travel conditions and contribute to a better urban environment. In order to do so, the Faster Region-based Convolutional Neural Network (Faster R-CNN) is introduced to extract the IoT-based ITS's electronic data features. It is observed that the Faster R-CNN has excellent recall and accuracy in extracting the features from the ITS electronic data sets. Specifically, the Faster R-CNN's average recall and accuracy reach 83.89% and 86.79%. The accuracy is 6.20% higher than the R-CNN method. Thus, the Faster R-CNN algorithm features more robust and reliable performance for collecting and analyzing ITS data. Overall, this work examines ITS-oriented electronic information collection and automatic detection against the technological background of applying Computer Vision, Deep Learning, and IoT in urban traffic management. In particular, it explains the IoT-based ITS's electronic information collection mechanism under Deep Learning (Faster R-CNN). The finding offers a theoretical foundation for implementing Deep Learning technologies in collecting ITS-oriented big data and smart city construction. © 2013 IEEE.
Author Keywords	deep learning; faster R-CNN; information acquisition model; Intelligent transportation system (ITS); Internet of Things (IoT)

Similar Articles

Id	Similarity	Authors	Title	Published
54902	0.899	Ma Y.; Wang C.; Fu T.; Meng Z.	The Analysis Of Acquisition System For Electronic Traffic Signal In Smart Cities Based On The Internet Of Things	Scientific Reports, 15, 1 (2025)
22879	0.871	Mahesh C.; Sumithra M.; Rao Ranga M.; Kumar K.R.; Suganthi D.; Karthiyayini S.	Employing A Deep Learning Technique To Categorize Internet Of Things (Iot) Traffic In A Smart City Context	Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023 (2023)
22878	0.869	Anu Priya S.; Rajesh kanna B.; Beaulah Jeyavathana R.; Bhat N.; Rajalakshmi S.; Srimathi S.	Employing A Deep Learning Technique To Categorize Internet Of Things (Iot) Traffic In A Smart City Context	2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023 (2023)
7075	0.865	Subbiah A.	Ai-Enhanced Iot System For Efficient Traffic Management: Leveraging Black Data In Smart Cities	Proceedings of the 3rd International Conference on Intelligent Computing and Next Generation Networks, ICNGN 2024 (2024)
24065	0.859	Moumen I.; Abouchabaka J.; Rafalia N.	Enhancing Urban Mobility: Integration Of Iot Road Traffic Data And Artificial Intelligence In Smart City Environment	Indonesian Journal of Electrical Engineering and Computer Science, 32, 2 (2023)
44470	0.857	Saklani S.; Manchanda M.; Sharma R.; Singh D.	Real-Time Traffic Management System Using Yolov8 And Cnn: A Deep Learning Approach With Iot Integration	1st International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025 (2025)
7021	0.852	Qaffas A.A.	Ai-Driven Distributed Iot Communication Architecture For Smart City Traffic Optimization	Journal of Supercomputing, 81, 8 (2025)
17133	0.851	Ranjith V.; Malagi K.B.	Data Acquisition Techniques From Iot Devices For Smart Transportation: A Brief Overview	Lecture Notes in Networks and Systems, 517 (2023)
32646	0.851	Limkar S.; Ashok W.V.; Shende P.; Wagh K.; Wagh S.K.; Kumar A.	Intelligent Transportation System Using Vehicular Networks In The Internet Of Vehicles For Smart Cities	Journal of Electrical Systems, 19, 2 (2023)
19460	0.851	Abdali M.; Abdulwahid H.; Alwan K.	Developing Intelligent System Of Transportation Data Survey Using Deep Learning In Al-Kut City	AIP Conference Proceedings, 2864, 1 (2024)