1–20 von 1,684 Ergebnissen
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    Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems

    Zhang, Shiying / Li, Jun / Shi, Long et al. | IEEE | 2024
    Intelligent transportation systems (ITSs) have been fueled by the rapid development of communication technologies, sensor technologies, and ...

    Intelligent Information System for Monitoring the Road Pavement Conditions

    Kuznetsov, Dmitry V. / Bugakova, Anna V. / Bereza, Andrey N. | IEEE | 2024
    analyzed. The main stages of system design and subsystems in its composition are considered: core subsystem, data processing subsystem and ...

    Enabling Analysis, Modeling, and Simulation for Cooperative Automated Vehicle Applications in Transportation Systems: The Pillar Diagram

    Abbas, Monty | IEEE | 2024
    The objective of this research was to develop information on how analysis, modeling, and simulation (AMS) tools can be enabled to evaluate ...

    Heter-Train: A Distributed Training Framework Based on Semi-Asynchronous Parallel Mechanism for Heterogeneous Intelligent Transportation Systems

    Geng, Jiawei / Cao, Jing / Jia, Haipeng et al. | IEEE | 2024
    Transportation big data (TBD) are increasingly combined with artificial intelligence to mine novel patterns and information due to the ...

    Predictive Cruise Cloud Control Scheme Design on Notable Vehicles—Under the Perspective of Cyber-Physical Systems

    Lin, Jingdong / Li, Yang / Xiao, Hongzhao | IEEE | 2024
    the problems of real-time multi-sources heterogeneous information utilization by PCC systems and insufficient computational planning ...

    Privacy-Preserving Distributed Transfer Learning and Its Application in Intelligent Transportation

    Li, Zhi / Wang, Hao / Xu, Guangquan et al. | IEEE | 2024
    With the rapid development of intelligent transportation systems (ITS), more and more intelligent applications for ITS have received ...

    Design and Development of Search and Rescue Bot

    Krishna, J Ponraj / C R, Raghavendran / Kaliappan, E | IEEE | 2024
    systems capable of executing complex tasks. This research presents a method for implementing imaging and object recognition on standard hardware ...

    RIDIC: Real-Time Intelligent Transportation System With Dispersed Computing

    Cai, Zinuo / Chen, Zebin / Liu, Zihan et al. | IEEE | 2024
    Modern transportation big data features high Volume, Velocity, and Variety, making it more and more challenging to develop an intelligent ...

    A Blockchain-Enabled Distributed System for Trustworthy and Collaborative Intelligent Vehicle Re-Identification

    Wang, Shuai / Yang, Da / Sheng, Hao et al. | IEEE | 2024
    Vehicle re-identification (ReID) is a hot topic in intelligent city surveillance. With the development of smart cameras and vehicular edge ...

    Robust Learning-Based Model Predictive Control for Intelligent Vehicles With Unknown Dynamics and Unbounded Disturbances

    Bao, HanQiu / Kang, Qi / Shi, XuDong et al. | IEEE | 2024
    intelligent vehicles, i.e., learning-based control. Yet, few work formally consider the confidence of learning-based models and their residual model ...

    Multi-Frequency Based CSI Compression for Vehicle Localization in Intelligent Transportation System

    Yang, Xiaolong / Gao, Meng / Xie, Liangbo et al. | IEEE | 2024
    With the advent of the new era of 6G, new applications of smart factories and intelligent transportation systems based on real-time ...

    A Multi-Objective Resource Pre-Allocation Scheme Using SDN for Intelligent Transportation System

    Liu, Yibing / Huo, Lijun / Zhang, Xiongtao et al. | IEEE | 2024
    historical traffic information to predict future road load and rely on Software Defined Network (SDN) to design a flexible resource pre-allocated ...

    A Nonlocal Similarity Learning-Based Tensor Completion Model With Its Application in Intelligent Transportation System

    Dai, Cheng / Zhang, Ying / Zheng, Zhigao | IEEE | 2024
    information in the traffic data will directly affect the final performance, and it has evolved into a challenge in data analysis based intelligent ...

    Elevation Angle-Dependent 3D Trajectory Design for Aerial RIS-Aided Communication

    Liu, Yifan / Duo, Bin / Wu, Qingqing et al. | IEEE | 2024
    This paper investigates an aerial reconfigurable intelligent surface (RIS)-aided communication system under the probabilistic line-of-sight ...

    Consensus of Linear Discrete-Time Connected Autonomous Vehicle Systems With Time Delays and Multiplicative Noise

    Liu, Guangming / Liu, Yonggui / Xie, Xuhuan | IEEE | 2024
    constant delay and multiplicative noise. Based on the neighboring vehicle information, a novel cooperative look-ahead predictor-like control ...

    Network-Based Modeling and Sampling Guaranteed Cost Control for Unmanned Surface Vehicle Systems Under Stochastic Cyber-Attacks

    Ding, Kui / Zhu, Quanxin | IEEE | 2024
    focus on the guarantee cost control of USV systems by taking into account the finite measurable output sampling information and stochastic cyber ...

    Co-Benefits and Tradeoffs Between Safety, Mobility, and Environmental Impacts for Connected and Automated Vehicles

    Barth, Matthew | IEEE | 2024
    presentation, we examine various co-benefits and tradeoffs of current CAV applications and consider how we can design these systems to have greater ...

    Cooperative and Automated Road Transport - European Perspective

    Lu, Meng | IEEE | 2024
    vehicles, as well as between vehicles and infrastructure, other road users and network, for exchange of information, enabling various applications ...

    Improving Efficiency and Generalisability of Motion Predictions With Deep Multi-Agent Learning and Multi-Head Attention

    Benrachou, Djamel Eddine / Glaser, Sebastien / Elhenawy, Mohammed et al. | IEEE | 2024
    typical operations of AVs which can perform rudimentary tasks, the intelligent embedded program fit in to process challenging scenarios and deep ...

    A Hybrid Visualization Model for Knowledge Mapping: Scientometrics, SAOM, and SAO

    Xiao, Guangnian / Chen, Liu / Chen, Xinqiang et al. | IEEE | 2024
    information, and draws a technical roadmap containing five levels: data, technology, influence factors, objectives, and applications. The visual ...