Proceedings ArticleDOI
Analysis of smart city transportation using IoT
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TLDR
This report inspected smart transportation from an inventive point of view and separation the theme into a couple of sub subjects, recognizing four noteworthy open doors for mobile network operators (MNOs), incorporating telematics benefit with Usage Based Insurance (UBI).Abstract:
As a noteworthy part of present day economy, transportation represents 6–12% of the (GDP) in may create nations. In spite of the fact that transportation has extraordinarily enhanced our lives, many exorbitant issues stay unsolved, including auto collision, blockage and vehicle discharge. Brilliant transportation has as of late turned into an interesting issue in the Internet of Things (IoT) region and is considered as the answer for the issues said above. In this report, we inspected smart transportation from an inventive point of view and separation the theme into a couple of sub subjects. In view of the market measure and the requests for versatile system, we have recognized four noteworthy open doors for mobile network operators (MNOs), incorporating telematics benefit with Usage Based Insurance (UBI). What's more, fleet management, smart parking administration based on the Narrow-band IoT (NB-IoT) arrange Innovation, emergency service Network (ESN) in light of long Term Evolution (LTE) organize and upgraded Advanced Driver Assistance Systems (ADAS) in view of LTE-V or 5G arrange.read more
Citations
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A Transfer Learning Approach for Compressed Sensing in 6G-IoT
TL;DR: A convolution-based transfer compressed sensing model is proposed to reconstruct the compressed signal based on transfer learning and outperforms other traditional reconstruction algorithms in 6G-IoT under different noise levels, measurement numbers, and signal sparsities.
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Internet of Things-Based Smart Transportation System for Smart Cities
TL;DR: In this paper , the authors discuss vehicle-to-vehicle communication and vehicle to-infrastructure communication, which are the basic principles behind autonomous vehicles, and IoT-based smart transportation system for smart cities is also discussed.
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Smart cities and 5g networks: an emerging technological area?
TL;DR: The goal of the work is to study the structure of the development and implementation of new technologies for the urban environment on the sample of 5G-based technologies to show the most promising areas of technological research.
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Characteristics of Narrowband IoT (NB-IoT) technology that supports smart city management, based on the chosen use cases from the environment area
TL;DR: The main aim of this article is to present ongoing research project’s assumptions, led within the frames of business-university cooperation, focused on Narrowband IoT technology, to identify opportunities created by the mentioned technology.
Proceedings ArticleDOI
Internet of Things Architecture for Intelligent Transportation Systems in a Smart City
Majid Moazzami,Niloufar Sheini-Shahvand,Ersan Kabalci,Hossein Shahinzadeh,Yasin Kabalci,Gevork B. Gharehpetian +5 more
TL;DR: In this paper, the authors investigated the architecture of the Internet of Things (IoT) in the context of smart transportation and their applications in smart cities, where the components of IoT and their application in smart transportation are discussed.
References
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Journal IssueDOI
Embedding standard distributed object-oriented middlewares in wireless sensor networks
Francisco Moya,David Villa,Felix Jesús Villanueva,Jesus Barba,Fernando Rincón,Juan Carlos López +5 more
TL;DR: This paper surveys existing WSN technologies for intelligent transportation systems (ITSs), including sensor technologies, energy-efficient networking protocols, and applications of sensor networks for parking lot monitoring, traffic monitoring, and traffic control, and presents new methods on applying WSNs in traffic modeling and estimation and traffic Control.
Journal ArticleDOI
Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras
TL;DR: A video-based vehicle detection and classification (VVDC) system was developed for truck data collection using wide-ranging available surveillance cameras and the accuracy for vehicle detection was above 97%, and the total truck count error was lower than 9% for all three tests, indicating that the video image processing method developed is indeed a viable alternative for Truck data collection.
Journal ArticleDOI
Video Based Vehicle Detection and Its Application in Intelligent Transportation Systems
TL;DR: The proposed video based vehicle detection system was developed to eliminate the need of complex calibration, robustness to contrasts variations, and better performance with low resolutions videos, and the performance of the proposed system is equivalent or better compared to a commercial vehicle Detection system.