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    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
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    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
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    <item>
      <title>Terahertz Band for High-Altitude Platform Station Communications: Performance Analysis, Potential, and Challenges</title>
      <link>https://trid.trb.org/View/2732068</link>
      <description><![CDATA[The Terahertz (THz) band (0.1–10 THz) attracts attention due to its massive bandwidth, potentially enabling ultra-high data rate with ultra-low latency. High-altitude platform stations (HAPSs) are envisioned as nodes of a non-terrestrial network (NTN) that complements terrestrial networks, particularly for connecting the unconnected and addressing temporary needs, such as disaster relief. THz HAPS communication is a promising solution for NTN, since HAPS is quasi-stationary in nature, located in the stratosphere, thereby avoiding beam misalignment and molecular absorption loss issues in the THz band. In this paper, we provide an overview of THz band HAPS communication, considering HAPS-to-ground, HAPS-to-HAPS, HAPS-to-satellite, and HAPS-to-uncrewed aerial vehicle links. We present simulation results of outage probability, ergodic capacity, and spectral efficiency under beam misalignment fading and turbulence fading in comparison to millimeter wave and sub-6 GHz bands. In addition, we summarize existing THz HAPS studies to reveal ongoing efforts. Moreover, we discuss open issues and research directions for THz band HAPS-related links. Overall, this paper draws a clear picture of THz HAPS communication by reporting its potential and challenges.]]></description>
      <pubDate>Wed, 12 Aug 2026 15:14:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/2732068</guid>
    </item>
    <item>
      <title>Toward UAV-Assisted 3D UL-Heavy NOMA for Low-Altitude Economy: Joint Bandwidth, Power Allocation and Stereoscopic Trajectory Design</title>
      <link>https://trid.trb.org/View/2685828</link>
      <description><![CDATA[In this paper, we study an uncrewed aerial vehicle (UAV)-assisted 3D uplink (UL)-heavy non-orthogonal multiple access (NOMA) system for low-altitude economy, in which UL communication is growing more crucial in emergency hotspots like football stadiums. To the best of our knowledge, this is the first effort to investigate joint UL resource allocation alongside stereoscopic trajectory design for UAV-assisted 3D UL-heavy NOMA, in light of users' instantaneous rate-sensitive and elevated average rate-oriented traffic requirements. Specifically, we put forward a joint bandwidth and power allocation (J-BPA) algorithm by demonstrating that the inter-user interference within each NOMA group can be inherently eliminated while deriving users' UL sum-rate. Given the non-differentiable nature of the Lagrange dual function, the constrained ellipsoid method is employed to obtain the optimal solution. Furthermore, to further reduce computational complexity and boost the degrees of freedom in resource allocation, an enhanced J-BPA scheme is proposed, with closed-form optimal expressions derived for both intra-group and inter-group power allocation among NOMA groups. Both the proposed J-BPA and enhanced J-BPA are compatible with stereoscopic trajectory optimization, which are alternatively solved to achieve rapid convergence, and demonstrate superior performance over existing methods in terms of minimum average UL rate and user fairness.]]></description>
      <pubDate>Fri, 07 Aug 2026 09:21:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/2685828</guid>
    </item>
    <item>
      <title>Wideband Millimeter-Wave Dielectric Resonator Antenna with Beam Steering Capability for Vehicle Applications</title>
      <link>https://trid.trb.org/View/2731683</link>
      <description><![CDATA[This paper proposes a wideband millimeter-wave (mm-wave) dielectric resonator (DR) antenna (DRA) capable of beam steering for vehicle-to-everything (V2X) communications. An individual DRA element is firstly designed by utilizing air holes to enable the good matching of multiple modes for wideband operation. It covers the whole mm-wave frequency range from 24 to 40 GHz. Based on the element design, a wideband 1 × 4 DRA array with beam steering capability is developed. To overcome fabrication and assembly constraints, the four DR elements are interconnected by dielectric arms with an element spacing of 0.48ƛ₀. metal grooves and holes are combined for ensuring the beam steering capability over the entire frequency region. The designed DRA array shows an impedance bandwidth of >50%, and exhibits maximum beam steerable angles of ±56°. Experimental verification is performed by using a 1-to-4 power divider as the feeding network. Experimental results show reasonable agreement with the simulated ones. The proposed wideband DRA holds promise for 5G mm-wave communications in vehicle platforms, offering wide frequency coverage and effective beam steering capabilities simultaneously.]]></description>
      <pubDate>Fri, 31 Jul 2026 16:05:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2731683</guid>
    </item>
    <item>
      <title>Cross Far- and Near-Field Beam Management Technologies in Millimeter-Wave and Terahertz MIMO Systems</title>
      <link>https://trid.trb.org/View/2685789</link>
      <description><![CDATA[The evolution of wireless communication toward next-generation networks introduces unprecedented demands on data rates, latency, and connectivity. To meet these requirements, two key trends have emerged: the use of higher communication frequencies to provide broader bandwidth, and the deployment of massive multiple-input multiple-output systems with large antenna arrays to compensate for propagation losses and enhance spatial multiplexing. These advancements significantly extend the Rayleigh distance, enabling near-field (NF) propagation alongside the traditional far-field (FF) regime. As user communication distances dynamically span both FF and NF regions, cross-field (CF) communication has also emerged as a practical consideration. Beam management (BM)—including beam scanning, channel state information estimation, beamforming, and beam tracking—plays a central role in maintaining reliable directional communications. While most existing BM techniques are developed for FF channels, recent works begin to address the unique characteristics of NF and CF regimes. This survey presents a comprehensive review of BM techniques from the perspective of propagation fields. We begin by building the basic through analyzing the modeling of FF, NF, and CF channels, along with the associated beam patterns for alignment. Then, we categorize BM techniques by methodologies, and discuss their operational differences across propagation regimes, highlighting how field-dependent channel characteristics influence design tradeoffs and implementation complexity. In addition, for each BM method, we identify open challenges and future research directions, including extending FF methods to NF/CF scenarios, developing unified BM strategies for field-agnostic deployment, and designing low-overhead BM solutions for dynamic environments.]]></description>
      <pubDate>Fri, 31 Jul 2026 09:23:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/2685789</guid>
    </item>
    <item>
      <title>An Extended Butler Matrix with Embedded Digital Phase Shifters and Its Multibeam Application for V2x Communication</title>
      <link>https://trid.trb.org/View/2731561</link>
      <description><![CDATA[In this paper, a beam-switching multibeam antenna with wide bandwidth and compact size is investigated for Vehicle-to-Everything (V2X) applications. An extended 4 × 4 Butler matrix topology based on digital phase shifters (PSs) is proposed and the relationship between digital PSs and phase differences of the sequenced ports are derived and discussed with arbitrary phase difference couplers. With these derived equations, the extended Butler matrix with more phase differences can be achieved by changing the value of the PSs. The design concept is demonstrated by a Butler matrix composed of four transformer-based couplers and four PSs based on open-/short-circuit microstrip line-loaded slotline. Due to the avoidance of additional phase shifting structures, the proposed Butler matrix size is very compact. In addition, the design of couplers is no longer limited to 90° couplers, which improves the flexibility of design. The proposed Butler matrix is then fabricated and tested, and the measured results agree with the simulated results within the operating band from 3 to 4 GHz, i.e., 28.6% in fraction. To illustrate the enhanced beam controllability of the design, a multibeam system is further proposed and developed based on a 1 × 4 patch antenna array fed by the extended Butler matrix. As experimentally confirmed, 16 switchable beams are realized with an equivalent half-power beamwidth of 98° and a widened spatial coverage. As a result, the proposed multibeam antenna has been confirmed and can be potentially employed for the miniaturization of the whole communication system for vehicular applications.]]></description>
      <pubDate>Thu, 30 Jul 2026 16:36:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/2731561</guid>
    </item>
    <item>
      <title>Antenna-on-Display with Eh₁-Mode Wide Spatial Beam Scanning for User-Centric Sensing and Vehicle-to-Everything Communication</title>
      <link>https://trid.trb.org/View/2731511</link>
      <description><![CDATA[This article presents the first reported leaky-wave antenna (LWA) concept and displays-integrated solution for integrated sensing and communication (ISAC) applications. Despite via-less, single-layer, and extremely thin substrate, leaky wave antenna-on-display (LWAoD) achieves a wide band wide-angle beam-scanning characteristics. The grid-shaped structure is initially designed for EH1-mode radiation and optimized with bending angle α′. In addition, cross patch and slit structures ensure stable gain and improved impedance matching. Due to high sheet resistance, unit cell optimization method is proposed for balancing the cumulative resistance termination situated at the end of the devised LWAoD and antenna performance. The 1-D LWAoD is fabricated and achieves a wide scanning angle of -48° to +45° across 22–38 GHz. Based on the LWAoD elements, the 1-D linear array is expanded and exemplified to validate 2-D frequency-phase scanning (FS/PS) mode capability, which is key requirement for ISAC applications. Experimental results show that the 3-dB scanning angles in the E-plane are approximately ±60° at 28 GHz, with sidelobe levels below -10 dB and cross-polarization levels below -15 dB. By addressing core limitations of current ISAC antennas, this solution establishes a new concept for compact, high-performance solutions providing for integrated radar, communication and jamming applications for display integrated vehicle display panel.]]></description>
      <pubDate>Thu, 30 Jul 2026 16:36:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/2731511</guid>
    </item>
    <item>
      <title>High- and Low-Frequency Cooperation Based Resource Allocation in Vehicular Edge Computing Via Deep Reinforcement Learning</title>
      <link>https://trid.trb.org/View/2730906</link>
      <description><![CDATA[In vehicular edge computing (VEC) environment, the increasing task offloading requirements from diverse vehicular applications pose significant challenges to the limited and single communication resources. High- and low-frequency cooperation (HL-FC) has the advantages of large capacity, low latency, large coverage capability, and stable communication link during task offloading. However, how to efficiently allocate communication resources for task offloading in the presence of high- and low-frequency communication resources is a challenge. Furthermore, coupled with the allocation of computing resources and the offloading-decision making, the allocation of high- and low-frequency communication resources is even more complex and challenging. To cope with these challenges, in this paper, we investigate the resource allocation scheme under the high- and low-frequency cooperation in VEC. Specifically, to facilitate the processing of latency-sensitive and computation-intensive tasks, a multi-queue model for task caching is first designed to prioritize latency-sensitive workloads, enabling efficient data buffering and processing. Considering vehicle mobility, we then develop the communication model, task migration model, and the computing model. After that, we formulate a long-term average cost optimization problem that jointly optimizes resource expenditure and latency, which is a NP-hard problem. To obtain the optimal strategy, we leverage the Markov decision process (MDP) to model the optimization problem, which is then solved by our proposed twin delayed deep deterministic policy gradient (TD3)-based two-phase resource allocation scheme (TTRAS). Finally, extensive simulations are conducted to assess and validate the effectiveness of the TTRAS.  All rights reserved.]]></description>
      <pubDate>Thu, 30 Jul 2026 10:07:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/2730906</guid>
    </item>
    <item>
      <title>Design of Wideband Co-Linearly-Polarized Magnetoelectric Dipole Antenna with Stable Gain for Vehicular Sensing and Communications</title>
      <link>https://trid.trb.org/View/2727994</link>
      <description><![CDATA[A novel wideband co-linearly-polarized magnetoelectric (ME) dipole antenna with stable gain has been designed for vehicular sensing and communications applications, which uses folded ME dipole, decoupling plate, irregular metal wall, slots on the bottom of the suspended rectangular tube, and parasitic metal posts. Firstly, by using folded ME dipole, the operating bandwidth can be broadened significantly. Then, a series of technologies for adjusting the transmission zero are introduced to improve the isolation across the whole bandwidth, by using decoupling plate, irregular metal wall, slots on the bottom of the suspended rectangular tube to change the current distribution. Furthermore, several methods modifying the field distribution are employed to realize the stable and high gain covering the working band, by utilizing the additional metal posts combined with the irregular metal wall, slots on the bottom of the suspended rectangular tube for changing the deteriorated field distribution. Finally, the proposed antenna with the above three significant contributions is fabricated and measured to validate the proposed design. The experiment results show that the wide operational bandwidth across 1.75-3.95 GHz (77.2%), good polarization isolation higher than 22 dB, and the peak gain of 9.1 dBi with a stable fluctuation less than 1.5 dBi are obtained. These superiorities demonstrate a very promising candidate for applications in in-band full-duplex fields, which will greatly facilitate the development of vehicular sensing and communications.]]></description>
      <pubDate>Mon, 27 Jul 2026 11:16:35 GMT</pubDate>
      <guid>https://trid.trb.org/View/2727994</guid>
    </item>
    <item>
      <title>Fully-Decentralized MIMO Equalization Designs: Bidirectional-Chain Architecture and Efficient Algorithms</title>
      <link>https://trid.trb.org/View/2727753</link>
      <description><![CDATA[The existing massive multiple-input multiple-output (MIMO) systems predominantly adopt the centralized architecture. As the number of antennas and the transmission bandwidth become large, the amount of baseband data sampled from antennas increases dramatically. The huge amount of bus data traffic imposes a heavy burden on the baseband processing unit (BPU). To tackle this issue, in this paper, we propose a fully-decentralized bidirectional-chain (DBC) architecture without a central node for information exchange. The DBC architecture partitions all antennas into multiple clusters, and each cluster is allocated a processing module, which forms a local processing unit (LPU). By distributing the bus data traffic to multiple LPUs, the DBC architecture can effectively lower the required bandwidth between antennas and processing units. Since the number of LPUs can be dynamically adjusted, it also offers high flexibility. To fully exploit the architecture, we tailor an efficient equalization approach for the DBC architecture, which can significantly reduce the demand for bus bandwidth. To further reduce the computational complexity and enhance the performance (e.g., the bit error rate - BER), we design an efficient algorithmic deep network, referred to as the bidirectional-chain equalization deep-unfolding network (BCEDUN), by unfolding the iteration operations of the original optimization algorithm. Numerical results validate the effectiveness and superiority of our DBC architecture, demonstrating notable improvements in terms of computational complexity and baseband data traffic.]]></description>
      <pubDate>Mon, 27 Jul 2026 09:46:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/2727753</guid>
    </item>
    <item>
      <title>Adaptive Event-Triggered Funnel Control of Vehicular Platoon System with Interference and Constraint</title>
      <link>https://trid.trb.org/View/2727742</link>
      <description><![CDATA[In this paper, the adaptive tracking control problem of a vehicular platoon system subject to bounded interference and distance error constraint is investigated. Specifically, the controlled plant is composed of a number of third-order nonlinear vehicular systems. By virtue of the approximation ability of the fuzzy logic system (FLS), the adverse effects of unknown nonlinear functions on the system performance are weaken. Meanwhile, in response to the high-performance control needs of the vehicular platoon system, it integrates the funnel function and Barrier Lyapunov function (BLF) into the adaptive control design, ensuring that the inter-vehicle distance can stably track the ideal distance within a specified time. Furthermore, considering the finiteness of network resources including computing power and communication bandwidth, event-triggered mechanism (ETM) is introduced to reduce the update frequency of control signals. Then, it is proved that the system not only exhibits individual stability and string stability but also ensures the absence of Zeno behavior throughout the system's operation. Finally, a vehicle platoon system consisting of five vehicles was selected for a simulation example to prove the feasibility and reliability of the strategy.]]></description>
      <pubDate>Mon, 27 Jul 2026 09:46:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/2727742</guid>
    </item>
    <item>
      <title>Explicit public and pairwise bandwidth optimization for arterial traffic coordination</title>
      <link>https://trid.trb.org/View/2725265</link>
      <description><![CDATA[This paper proposes PP-Band, a novel arterial signal coordination model that simultaneously optimizes public bandwidth (global progression) and pairwise bandwidth (local progression). Unlike conventional methods such as Max-Band, Multi-Band, and AM-Band, which rely on progression centerlines and do not explicitly distinguish between public and pairwise bandwidth, PP-Band formulates both types using dedicated decision variables within a mixed-integer linear programming (MILP) framework. To enhance long-distance coordination, the model incorporates a bandwidth partitioning mechanism that mitigates progression discontinuities along long arterials. The performance of PP-Band is evaluated through simulation experiments in SUMO, benchmarked against Max-Band, Multi-Band, AM-Band, and PM-Band across eight real-world arterials in Beijing, China. Results show that PP-Band achieves better overall bandwidth and avoids the multiple-optimal-solution issue observed in Multi-Band and AM-Band. Moreover, PP-Band consistently demonstrates superior and more reliable performance metrics compared to existing models in these scenarios.]]></description>
      <pubDate>Wed, 22 Jul 2026 09:07:33 GMT</pubDate>
      <guid>https://trid.trb.org/View/2725265</guid>
    </item>
    <item>
      <title>Content-Awareness Video Compression for Roadside Surveillance Cameras</title>
      <link>https://trid.trb.org/View/2658984</link>
      <description><![CDATA[With the rapid advancement of urbanization and intelligent transportation systems (ITSs), traffic surveillance has become essential for road safety, traffic management, and data-driven decision-making. However, the large amount of surveillance video data poses challenges in terms of storage, bandwidth usage, and real-time processing. Traditional compression methods struggle to achieve high compression ratios without sacrificing critical information. To address this problem, we propose a novel content-aware video compression (CA-VC) method that reduces redundant information transmission while preserving the quality of critical regions in traffic surveillance videos. Our approach employs an enhanced object detection network to identify regions of interest (ROIs) and non-regions of interest (N-ROIs), generating binary masks for ROI segmentation. The video is then compressed via a layered strategy: ROI segments are encoded at higher fidelity to preserve details, whereas N-ROI segments undergo stronger compression to reduce storage and transmission costs. In addition, we improved the YOLOv8 model by designing a lightweight PC-C2f module and introducing the Wise-IoU v3 loss function, which enhances detection accuracy and reduces the computational requirements for deployment on edge devices. The experimental results show that our method significantly improves the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) within ROIs at the same bit rate, thereby enhancing video quality in key areas.]]></description>
      <pubDate>Thu, 28 May 2026 17:09:31 GMT</pubDate>
      <guid>https://trid.trb.org/View/2658984</guid>
    </item>
    <item>
      <title>QoS-aware heterogeneous spectrum allocation for UAV-assisted emergency communication networks: Coexistence in licensed and unlicensed bands</title>
      <link>https://trid.trb.org/View/2701448</link>
      <description><![CDATA[Unmanned aerial vehicles (UAVs) have become a crucial enabler of emergency communication networks (ECNs) due to their flexible deployment and rapid response capabilities. However, severe infrastructure damage and surges in emergency traffic following disasters cause acute spectrum scarcity, rendering licensed spectrum alone insufficient to satisfy diverse quality of service (QoS) requirements. Integrating the high reliability of licensed bands with the vast capacity of unlicensed bands to construct a heterogeneous spectrum network presents a promising solution for alleviating spectrum bottlenecks. Nevertheless, the high dynamics of UAVs and the bursty nature of emergency services introduce new challenges, including time-varying interference and difficulties in matching resource allocation with service demands. Therefore, to address the mismatch between heterogeneous spectrum allocation strategies and QoS requirements in UAV-assisted ECNs, this paper proposes a heterogeneous spectrum resource allocation method based on dynamic interference graphs and a sliding window lower confidence bound. First, we formulate an interference minimization problem subject to service utility constraints tailored to specific QoS requirements. Second, we model spectrum conflicts as a time-varying interference graph, transforming the heterogeneous spectrum allocation problem into a weighted graph coloring problem. Furthermore, based on a multi-player multi-armed bandit framework, we design a sliding window lower confidence bound (SW-LCB) algorithm. Each user adaptively selects channels using historical information within a sliding window, achieving a balance between exploration and exploitation in a distributed manner. Simulation results demonstrate that, compared with benchmark schemes such as UCB and Dϵ-TS, the proposed SW-LCB reduces average interference conflicts by approximately 60%, improves throughput by about 70%, accelerates convergence by an order of magnitude, and exhibits robustness to reward parameter fluctuations with performance variations below 5% at typical user scales. Through the collaborative application of the sliding window mechanism and dynamic interference graph, this paper provides a low-complexity, QoS-aware distributed adaptive spectrum allocation scheme for ECNs, thereby significantly enhancing the reliability and resource utilization efficiency of post-disaster communications.]]></description>
      <pubDate>Thu, 21 May 2026 09:10:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/2701448</guid>
    </item>
    <item>
      <title>Dynamic Optimization of High-Bandwidth Multi-Receiver Signals for Civil Aircraft Flight Tests Telemetry</title>
      <link>https://trid.trb.org/View/2691591</link>
      <description><![CDATA[Civil aircraft flight tests are distinguished by parallel multi-task operations, multi-sensor collaboration, and high-frequency data acquisition. The exponential growth in telemetry data generated in a single flight imposes stringent requirements on the high-bandwidth transmission capabilities of telemetry systems and the real-time optimization of multi-receiver signals. This study focuses on addressing the dynamic optimization of high-bandwidth multi-receiver signals during flight tests, aiming to enhance demodulation accuracy and ensure stable real-time transmission of large-scale telemetry data. A channel model for complex scenarios was constructed to analyze signal redundancy and dynamic switching in multi-receiver links, while an improved routing protocol integrated with multi-dimensional signal evaluation was investigated. A modular simulation model for the multi-receiver telemetry system was developed within a highly dynamic wireless ad hoc network environment. By enhancing the AODV and LEACH routing protocols, multi-path backup and energy consumption optimization were achieved. A multi-dimensional signal optimization algorithm was utilized to dynamically evaluate and fuse bit synchronization and frame synchronization via voting, enabling real-time selection of the optimal received signal in complex environments. The findings indicate that high-bandwidth multi-receiver signal optimization and enhanced routing strategies effectively alleviate challenges associated with multipath fading, channel obstruction, and high-speed mobility in flight test scenarios, thereby facilitating real-time channel monitoring and dynamic switching while improving data timeliness and accuracy. Simulation results demonstrate that under high-dynamic conditions, the proposed algorithm reduces the average BER to 3e-6 at 10 dB SNR, improves the frame synchronization success rate to 98.9%, and reduces invalid channel switching frequency by approximately 84% compared to traditional methods.]]></description>
      <pubDate>Mon, 27 Apr 2026 15:01:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2691591</guid>
    </item>
    <item>
      <title>Research on the Approach of Dynamic Collection and Feature-Based Ship-to-Shore Transmission of Marine Equipment Operation and Maintenance Data Based on Deep Learning</title>
      <link>https://trid.trb.org/View/2610621</link>
      <description><![CDATA[The traditional operational maintenance (O&M) tasks for marine equipment involve the continuous collection of operational status data and full data transmission between the ship and shore. While this method provides comprehensive monitoring information, it often incurs significant data monitoring, storage, and transmission costs. These issues are particularly pronounced in marine environments where bandwidth is limited or the power supply for monitoring devices is constrained. This study proposes a Deep Learning-based method for Dynamic Collection of operational maintenance data and Transmission of data features between the Ship and Shore, termed the DLDCTSS. By employing a deep learning anomaly detection model, DLDCTSS establishes a closed-loop feedback mechanism for dynamic sampling. Specifically, vibration sensors are activated for data collection only when abnormalities are detected, and critical state feature data are selectively transmitted based on O&M requirements. A theoretical analysis demonstrates that the DLDCTSS approach effectively reduces onboard storage overhead, lowers communication energy consumption between ship and shore, and improves data transmission efficiency, cutting overall system expenses. This study first assesses various anomaly detection models on open-source datasets, evaluating their suitability in maritime contexts. Subsequently, tests on a custom water-lubricated stern bearing platform validate both the anomaly detection model and the DLDCTSS approach. This dynamic sampling strategy not only diminishes redundant data collection but also ensures vital information is captured at critical moments, maximizing monitoring quality while enhancing operational efficiency. Meanwhile, transmitting only essential feature data markedly lowers bandwidth usage, and onboard feature extraction safeguards data privacy and security, meeting shipowners’ requirements.]]></description>
      <pubDate>Wed, 25 Mar 2026 17:11:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/2610621</guid>
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