Construction of Regional Intelligent Transportation System in Smart City Road Network via 5G Network

Yu, Miao

doi:10.1109/tits.2022.3141731

Cited by 22 publications

(14 citation statements)

References 38 publications

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“…The system is built to enhance intelligence and predict the real‐time load of regional traffic in the city. At last, system performance is evaluated on various parameters such as accuracy, prediction, reliability, delay, and network throughput 64 . Moreover, a DL‐based classification technique is introduced to classify the IoT traffic of smart cities.…”

Section: Literature Reviewmentioning

confidence: 99%

“…At last, system performance is evaluated on various parameters such as accuracy, prediction, reliability, delay, and network throughput. 64 Moreover, a DL-based classification technique is introduced to classify the IoT traffic of smart cities. Initially, an extended feature set with the packet, flow, and devicelevel features characterize the smart devices present in the network.…”

Section: Intelligent Transportationmentioning

confidence: 99%

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A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

Sharma,

Sangwan,

Singh

2023

Int J Communication

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SummaryThe Internet of Things (IoT) is a system that includes smart items with different sensors, advanced technologies, analytics, cloud servers, and other wireless devices that integrate and work together to create an intelligent environment that benefits end users. With its wide spectrum of applications, IoT is revolutionizing both the current and future generations of the Internet. IoT systems can be employed for broad‐ranging real applications, such as agriculture, the environment, cities, healthcare, and the industrial sector. In this paper, we briefly discuss the three‐tier architectural view of IoT, its different communication technologies, and the smart sensors. Moreover, we study various application areas of IoT such as the environmental domain, healthcare, agriculture, smart cities, and industrial, commercial, and general aspects. A critical analysis is shown for the existing schemes and techniques related to this work. Further, this paper addresses the basic context, tools and evaluation approaches, future scope, and the advantages and disadvantages of the aforestated IoT applications. A comprehensive analysis is provided for each domain along with its fundamental parameters like the quality of service (QoS), network longevity, scalability, energy efficiency, accuracy, and cost. Finally, this study highlights the technical challenges and open research problems existing in different IoT applications.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Intelligent Transportationmentioning

confidence: 99%

A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

Sharma,

Sangwan,

Singh

2023

Int J Communication

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“…BTAINING road information is vital in many applications such as autonomous navigation [1], autonomous driving [2], and intelligent transportation system [3]. High-resolution remote sensing images (HRSI) are widely used in producing rich road information and provide probability [4].…”

Section: Introductionmentioning

confidence: 99%

“…(2) Modeling the spatial location relation among pixels with the position information encoded through extensive zero-padding. (3) Decoupling connectivity improvement and multi-scale road representation by adding an auxiliary decoder to help the main decoder reason the occluded multi-scale roads.…”

Section: Introductionmentioning

confidence: 99%

AD-RoadNet: An Auxiliary-Decoding Road Extraction Network Improving Connectivity While Preserving Multiscale Road Details

Luo

Zhou

Tan

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Obtaining Road information from high-resolution remote sensing images (HRSI) is gaining attention in intelligent transportation systems. Existing road extraction methods tend to improve road connectivity with graph convolution or global attention, however, ignore the damage of introduced excessive effective receptive field (ERF) to multi-scale road details. In this study, we propose an Auxiliary-Decoding Road Extraction Network named AD-RoadNet which decouples multi-scale road representation and connectivity improvement based on two modules; the Hybrid Receptive Field Module (HRFM) and the Topological Feature Representation Module (TFRM). The HRFM is introduced in the encoder to emphasize target road features through adaptively matching the receptive field (RF) size for various scale roads, thus beneficial for multi-scale road representation. The TFRM is introduced in an auxiliary decoder to represent topological features with the position information encoded in the shared encoder and then helps the main decoder reason occluded roads, thus improving connectivity. Between the encoder and main decoder. The proposed model has a similar parameter scale as HRNetV2 and outperforms the state-of-the-art ResUnet, D-LinkNet, and HRNetV2 by 3.34%, 2.03%, and 1.53% in the mean Intersection of Union (mIoU) on DeepGlobe Road Dataset. Ablation analysis, inference size matter, and the robustness for unseen occlusion scenarios, low-quality labels, and various quality inference images are further presented to evaluate the proposed AD-RoadNet.

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“…The development of edge computing and edge intelligence has also put forward requirements for messaging mechanisms. Smart factories [3], smart transportation [3][4] [8], smart medical [5], smart cities [8], etc. are generating data all the time, and the amount of data is extremely large, and the messaging mechanism, as the core of data transmission, has an irreplaceable role.…”

Section: Introductionmentioning

confidence: 99%

Design and Research of M2M Message Transfer Mechanism of Looms for Information Transmission

et al. 2022

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Machine-to-machine (M2M) communication is a key implementation technology for future Industrial Internet of Things (IIoT) applications. The requirements for flexibility, efficiency, and crossplatform compatibility in intermodule communication between the connected machines raise challenges for the M2M messaging mechanism. For the loom message transmission mechanism, it is necessary to have certain flexibility and meet certain M2M communication requirements to understand each other. In this paper, we analyze and study the data model, data exchange language, MQTT protocol and logo resolution technology of looms to address the current problems of low data transmission efficiency, poor flexibility and lack of flexibility in the network.By establishing the data model of looms and classifying them by topic, selecting JSON format as the transmission format of data, and using MQTT protocol to realize data transmission between loom networks, an MQTT-based messaging mechanism is established.The data involved in the communication of the loom equipment are grouped according to the communication requirements, and only the loom data required by the application are subscribed. At the same time, the hardware and software parts of the communication module are designed with ESP32 as the core, so that it can complete the functions of loom network communication, data analysis, format conversion and so on. In addition, the real-time requirements of the loom network communication and the network requirements for future intelligent manufacturing must be met. This paper uses the BP neural network to intelligently optimize the loom network, and the existing problems related to performance indices are analyzed. The original loom network is optimized by integrating the RSSI, QoS requirements, transmission priority, realtime communication and data transmission volume of nodes. In the meantime, the particle swarm optimization algorithm is introduced to optimize the BP neural network to avoid the problem that it easily can fall into the local optimal solution and effectively improving the network optimization efficiency. Finally, the feasibility of this method is proven by using the experimental platform, which can solve the problems of low network transmission efficiency and difficult network optimization of looms and provide an effective technical example of loom information transmission and network optimization for industry.

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Construction of Regional Intelligent Transportation System in Smart City Road Network via 5G Network

Cited by 22 publications

References 38 publications

A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

AD-RoadNet: An Auxiliary-Decoding Road Extraction Network Improving Connectivity While Preserving Multiscale Road Details

Design and Research of M2M Message Transfer Mechanism of Looms for Information Transmission

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