Distributed Finite-Time Safety Consensus Control of Vehicle Platoon With Senor and Actuator Failures

Han, Jinheng; Zhang, Junzhi; He, Chengkun; Lv, Chen; Hou, Xiaohui; Ji, Yuan

doi:10.1109/tvt.2022.3203056

Cited by 33 publications

(3 citation statements)

References 41 publications

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“…As automated vehicles, connected vehicles, and connected and autonomous vehicle (CAV) technology continue to emerge, along with advanced features like automatic emergency braking (AEB) with pedestrian detection, adaptive cruise control (ACC) systems, and advanced driver assistance systems (ADAS), studies have focused on the vehicle side as well [3]. For instance, researchers evaluate the real-time risk of collisions in scenarios involving car following [15] or platooning [16]. In this survey, we also provide an overview of existing research in these aspects.…”

Section: Introductionmentioning

confidence: 99%

Safety in Traffic Management Systems: A Comprehensive Survey

Dash

et al. 2023

Designs

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Traffic management systems play a vital role in ensuring safe and efficient transportation on roads. However, the use of advanced technologies in traffic management systems has introduced new safety challenges. Therefore, it is important to ensure the safety of these systems to prevent accidents and minimize their impact on road users. In this survey, we provide a comprehensive review of the literature on safety in traffic management systems. Specifically, we discuss the different safety issues that arise in traffic management systems, the current state of research on safety in these systems, and the techniques and methods proposed to ensure the safety of these systems. We also identify the limitations of the existing research and suggest future research directions.

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Section: Introductionmentioning

confidence: 99%

Safety in Traffic Management Systems: A Comprehensive Survey

Dash

et al. 2023

Designs

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“…Text mining plays an important role in the power grid networks, which is useful for the system operation and running [9][10][11]. Text mining is a research field that focuses on using computational techniques to extract useful information and knowledge from large collections of textual data.…”

Section: Introductionmentioning

confidence: 99%

Research on the Performance of Text Mining and Processing in Power Grid Networks

Zhou

Lin

et al. 2023

EAI Endorsed Scal Inf Syst

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This paper employs deep learning technique to perform the research of text mining for power grid networks, focusing on fundamental elements such as loss and activation functions. Through some analysis and formulas, we explain how these functions contribute to deep learning. We also introduce major deep learning training models, including CNN and RNN, and provide visual aids to aid understanding. To demonstrate the impact of various factors on deep learning training, we employ control variable experiments to analyze the influence of factors such as learning rate, batch size, and data noise on model training trends. While the influence of hyperparameters and data noise are covered in this paper, other factors such as CPU and memory frequency, as well as GPU performance, also play a crucial role in deep learning training. Therefore, continuous adjustments to various factors are necessary to achieve optimal training results for deep learning models in power grid networks.

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“…The research landscape surrounding IoT networks has burgeoned in response to the rapid proliferation of connected devices and their transformative impact on various domains [9][10][11]. Within this context, a substantial body of literature has emerged focusing on data transmission in IoT networks.…”

Section: Introductionmentioning

confidence: 99%

Outage Probability Analysis of Multi-hop Relay Aided IoT Networks

Wei,

Huang,

Zhao

et al. 2023

ICST Transactions on Scalable Information Systems

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This study delves into Internet of Things (IoT) networks wherein a transmitting source communicates information to a designated recipient. The presence of signal attenuation challenges the direct transmission of information from the source to the recipient. To surmount this obstacle, we investigate IoT network communication facilitated by multi-hop relays, whereby multiple relays collaboratively enable the conveyance of data from the source to the recipient across intermediate stages. For the considered IoT networks augmented by multi-hop relays, we assess the performance of the system by analyzing the probability of transmission outage. This analysis entails the derivation of an analytical expression for evaluating the occurrence of IoT network outage. Additionally, we gauge the system's effectiveness by examining the attainable transmission rate, wherein an analytical expression is furnished to assess the IoT data rate. The empirical results, along with the analytical findings, are subsequently presented to validate the formulated expressions in the context of IoT networks empowered by multi-hop relays. Notably, the utilization of multi-hop relaying emerges as a efficacious strategy for substantially expanding the coverage scope of IoT networks.

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Distributed Finite-Time Safety Consensus Control of Vehicle Platoon With Senor and Actuator Failures

Cited by 33 publications

References 41 publications

Safety in Traffic Management Systems: A Comprehensive Survey

Safety in Traffic Management Systems: A Comprehensive Survey

Research on the Performance of Text Mining and Processing in Power Grid Networks

Outage Probability Analysis of Multi-hop Relay Aided IoT Networks

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