Journal of Traffic and Transportation Engineering-English Edition最新文献

Permanent deformation of unbound granular materials: A review 无粘结颗粒材料的永久变形：综述

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.11.009

Hugo Alexander Rondón-Quintana , Juan Gabriel Bastidas-Martínez , Fredy Alberto Reyes-Lizcano

Several studies have been conducted in the pavement area to try to understand the elastoplastic behavior of unbound granular materials (UGMs) under cyclic loading. This paper presents a literature review on the permanent deformation phenomenon of UGMs when they form granular layers in flexible pavement structures. The factors affecting the resistance to permanent deformation are presented and described, and the evolution of the mathematical equations most used to predict the deformation in these materials under cyclic loading is shown. Conclusions and recommendations for future studies are presented at the end of the manuscript. Despite the substantial number of researches carried out on the subject, the elastoplastic behavior of UGMs has not yet been fully understood. These heterogeneous and anisotropic materials change their behavior mainly with stress magnitude and water content, but they are also strongly dependent on the way factors such as gradation, density, porosity, morphology, chemical and mineralogical composition, temperature, among others, interact. Generally, most of the mathematical equations that try to predict the accumulation of permanent deformation in UGMs are empirical, based on repeated load triaxial (RLT) tests, they cannot simulate the three components of cyclic stress to which a UGM is subjected in a pavement, their parameters are difficult to determine experimentally and do not show physical meaning (they are obtained by regression). In recent years, studies to evaluate the use of recycled aggregates and the effect of temperature (mainly at low temperatures) have increased. Likewise, the use of various technological tools such as artificial neural network (ANN) modeling, and so forth, has increased.

为了了解非粘结颗粒材料在循环荷载作用下的弹塑性行为，在路面区域进行了多项研究。本文综述了柔性路面结构中ugm颗粒层形成时的永久变形现象。提出并描述了影响材料抗永久变形能力的因素，并给出了循环荷载作用下预测这些材料变形最常用的数学方程的演变过程。结论和对未来研究的建议在手稿的最后提出。尽管在这个问题上进行了大量的研究，但ugm的弹塑性行为尚未得到充分的理解。这些非均质和各向异性材料的行为变化主要与应力大小和含水量有关，但它们也强烈依赖于诸如级配、密度、孔隙度、形态、化学和矿物组成、温度等因素的相互作用。一般来说，大多数试图预测UGM中永久变形积累的数学方程都是经验的，基于重复荷载三轴（RLT）试验，它们无法模拟UGM在路面中所承受的三个循环应力分量，它们的参数难以通过实验确定且不具有物理意义（它们是通过回归获得的）。近年来，对再生骨料的利用和温度（主要是低温）影响的评价研究有所增加。同样，各种技术工具（如人工神经网络（ANN）建模等）的使用也有所增加。

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引用次数: 0

Ride-hailing vehicle dispatching and matching strategies to prioritize and complement public transport use 网约车调度和匹配策略，优先考虑和补充公共交通的使用

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.09.010

Sapan Tiwari , Neema Nassir , Patricia Sauri Lavieri

Operational strategies and matching algorithms are used to ensure the availability and efficient assignment of ride-hailing services. Such operational strategies may result in services that, rather than complement traditional public transport (PT) systems, compete with them in both market (demand) and road-space use (congestion). This paper introduces and evaluates real-time vehicle dispatching strategies that focus on the prioritization of PT use and the complementarity between PT and ride-hailing in multimodal trips. Utilizing a novel two-step ride-matching algorithm, these strategies aim at decreasing travelers' wait times and motivating the use of PT. The agent-based travel demand forecasting model MATSim is used to implement and test the proposed matching strategies in the study area of Metropolitan Melbourne, Australia. The proposed strategies outperform the original MATSim strategies (which follow a first-come, first-serve approach) regarding average vehicle kilometers traveled (VKT) per ride, number of multimodal trips that use ride-hailing and PT, and the overall PT mode share. The results indicate substantial improvements across all proposed strategies, with PT mode shares increasing by 3.3%–19.8%. A fleet size of 200 was identified as the optimal fleet size. Multimodal trips increased by 7%–13% for all proposed strategies at this fleet size, illustrating a substantial shift towards integrated transport modes. Additionally, VKT per ride decreased by approximately 30%–33% with the proposed strategies at this fleet size. We conclude that serving all ride-hailing requests on a first-come/first-serve basis creates system-level inefficiencies that can be overcome by prioritizing requests that cannot be served by PT and/or have an emergency nature.

运用运营策略和匹配算法确保网约车服务的可用性和高效分配。这种运营策略可能导致服务不是对传统公共交通系统的补充，而是在市场（需求）和道路空间使用（拥挤）方面与传统公共交通系统竞争。本文介绍并评估了实时车辆调度策略，重点关注多模式出行中PT使用的优先级以及PT与网约车之间的互补性。这些策略采用了一种新颖的两步乘车匹配算法，旨在减少旅客的等待时间和激励PT的使用。基于agent的出行需求预测模型MATSim在澳大利亚墨尔本大都市研究区域实施和测试了所提出的匹配策略。所提出的策略优于原始的MATSim策略（遵循先到先得的方法），包括每次骑行的平均车辆行驶公里数（VKT）、使用网约车和PT的多模式旅行次数以及整体PT模式共享。结果表明，所有提出的策略都有实质性的改进，PT模式的份额增加了3.3%-19.8%。确定200人的机队规模为最佳机队规模。在此车队规模下，所有建议策略的多式联运行程增加了7%-13%，表明向综合运输模式的重大转变。此外，在这种机队规模下，采用拟议的策略，每次乘坐的载货里程减少了大约30%-33%。我们得出的结论是，以先到先得的方式服务所有网约车请求会造成系统级的低效率，这种低效率可以通过优先处理PT无法服务和/或具有紧急性质的请求来克服。

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引用次数: 0

Transformer in civil engineering defect detection: A survey 土木工程变压器缺陷检测综述

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.11.008

Jinyuan Zhang, Zhineng Zheng, Tianqing Ling

Detecting structural and functional defects in large-scale civil infrastructure during operation is of paramount importance, and employing intelligent algorithms for detection holds significant value. Deep learning technology emerges as the primary avenue to accomplish this task. Recently, Transformer self-attention models have garnered attention as alternatives to deep convolutional neural networks due to their robust parallel computing capabilities and adeptness in modeling long-range dependencies. Harnessing this paradigm shift, the field of civil engineering has delved into exploring Transformer's applicability in intelligent defect detection tasks. Motivated by this, we conducted a systematic investigation into the latest engineering defect detection applications of Transformers. Our survey encompasses over 40 engineering detection algorithms based on Transformers, with roadways, tunnels structures, and bridges serving as primary application scenarios. Lastly, we discuss key challenges encountered in these applications and provide insights into future development directions. This survey marks a systematic overview of Transformer applications in the domain of civil engineering. Its objective is to aid researchers in grasping the concept and architecture of Transformer models, and to furnish suitable reference algorithms and application strategies for intelligent detection research in civil infrastructure.

大型民用基础设施在运行过程中结构和功能缺陷的检测至关重要，采用智能算法进行检测具有重要意义。深度学习技术成为完成这一任务的主要途径。最近，Transformer自关注模型作为深度卷积神经网络的替代品引起了人们的关注，因为它们具有强大的并行计算能力和对远程依赖关系建模的熟练程度。利用这种范式转换，土木工程领域已经深入研究了Transformer在智能缺陷检测任务中的适用性。在此激励下，我们对变压器最新的工程缺陷检测应用进行了系统的研究。我们的调查涵盖了40多种基于变压器的工程检测算法，其中道路、隧道结构和桥梁是主要的应用场景。最后，我们讨论了在这些应用中遇到的主要挑战，并提供了对未来发展方向的见解。这项调查标志着变压器在土木工程领域应用的系统概述。旨在帮助研究人员掌握变压器模型的概念和体系结构，为民用基础设施智能检测研究提供合适的参考算法和应用策略。

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引用次数: 0

Laboratory-on-IoT for predicting construction temperature of asphalt pavement 用于预测沥青路面施工温度的物联网实验室

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2023.05.011

Weijie Mao , Wei Si , Ning Li , Jiaman Song , Chen Yuan , Cidan Duojie , Junxing Zheng , Bowen Zhang , Ruocong Yang

Construction temperature of asphalt pavement is an important factor affecting the quality of construction. The gradually mature Internet of Things technology and machine learning method provide new support for improving the quality management of asphalt pavement construction. Based on the pavement construction data collected by the Internet of things, the importance assessment shows that the discharge temperature and the speed of paving and rolling significantly impact the construction temperature. In addition, the model framework and hyperparameters optimization of the neural network prediction model are carried out. The results show that the Adam optimizer is superior to the other three optimizers. The addition of batch standardization helps to improve the model training efficiency, and the optimization of hyperparameters significantly improves the model performance. The combined system of Internet of Things and machine learning can be used for real-time prediction of construction temperature and can provide guidance for construction temperature regulation.

沥青路面施工温度是影响施工质量的重要因素。逐步成熟的物联网技术和机器学习方法，为提高沥青路面施工质量管理提供了新的支撑。基于物联网采集的路面施工数据，重要性评估结果表明，排料温度和铺装滚动速度对施工温度影响显著。此外，对神经网络预测模型进行了模型框架和超参数优化。结果表明，Adam优化器优于其他三种优化器。批量标准化的加入有助于提高模型的训练效率，超参数的优化显著提高了模型的性能。物联网与机器学习相结合的系统可以实时预测施工温度，为施工温度调节提供指导。

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引用次数: 0

A critical review of heavy metal characteristics and risk assessment approaches of municipal solid waste incineration bottom ash in subgrade construction 城市生活垃圾焚烧底灰路基施工中重金属特征及风险评估方法综述

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2025.02.004

Jue Li , Qingmeng Hou , Junhui Peng , Hengwu Hu , Domenico Vizzari

The global generation of municipal solid waste (MSW) has significantly escalated and it is nowadays an urgent environmental problem. Incineration has emerged as a prevalent MSW treatment method, with the resulting MSW incineration bottom ash (MSWI BA) offering potential for beneficial reuse, particularly in subgrade construction. However, concerns persist in terms of long-term leaching and ecotoxicity of MSWI BA heavy metals. This critical review consolidates the existing research on the physicochemical properties of MSWI BA, its heavy metal characteristics, and the associated risk management strategies for its reuse in road construction applications. The review systematically analyzes the physical and chemical properties of MSWI BA, confirming its suitability as a construction aggregate. It further examines the typical heavy metal content, including Pb, Zn, Cu, and Cr, and the influential factors such as waste composition, incineration temperature, and flue gas treatment. The leaching behavior of heavy metals under different environmental conditions is investigated through the synthesis of laboratory test data and field monitoring results. Common risk assessment methods at various stages, from BA pretreatment to subgrade design, are evaluated. Additionally, the review summarizes the regulatory standards for MSWI BA application in road construction across different regions, identifies current research limitations, and provides suggestions for future research directions to promote the sustainable utilization of this valuable resource. The findings of this comprehensive review contribute to a better understanding of the feasibility and environmental implications of MSWI BA reuse, supporting informed decision-making and the development of effective management strategies for this growing waste stream. The insights gained can aid in the design of appropriate treatment and application protocols to mitigate the risks associated with heavy metal leaching, thereby facilitating the circular economy in the subgrade construction.

全球城市固体废物的产生量急剧增加，已成为一个紧迫的环境问题。焚烧已成为一种普遍的都市固体废物处理方法，所产生的都市固体废物焚烧底灰（MSWI BA）具有有益再利用的潜力，特别是在路基建设中。然而，对城市生活垃圾填埋场重金属的长期浸出和生态毒性的关注仍然存在。这篇重要的综述整合了现有的关于MSWI BA的物理化学性质、重金属特征以及其在道路建设应用中再利用的相关风险管理策略的研究。本文系统分析了MSWI BA的理化性能，确定了其作为建筑骨料的适宜性。进一步研究了典型的重金属含量，包括Pb、Zn、Cu和Cr，以及垃圾成分、焚烧温度和烟气处理等影响因素。通过综合室内试验数据和现场监测结果，研究了不同环境条件下重金属的浸出行为。对从BA预处理到路基设计各阶段常用的风险评估方法进行了评价。此外，本文还总结了不同地区城市水泥土在道路建设中应用的监管标准，指出了目前研究的局限性，并对未来的研究方向提出了建议，以促进这一宝贵资源的可持续利用。这项全面检讨的结果有助于更好地了解城市生活垃圾填埋场再利用的可行性和环境影响，支持明智的决策和制定有效的管理策略，以应对日益增长的废物流。所获得的见解可以帮助设计适当的处理和应用方案，以减轻与重金属浸出相关的风险，从而促进路基建设中的循环经济。

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引用次数: 0

Enhancing sustainable urban mobility: Computer vision applications in pedestrian path studies 增强可持续城市交通：计算机视觉在行人路径研究中的应用

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.11.007

Abdul-Mugis Yussif , Ridwan Taiwo , Tarek Zayed , Saeed Reza Mohandes , Sulemana Fatoama Abdulai

Smart cities and decarbonization of the transportation sector provoked significant environmental policy reforms, shifting the urban environment away from car-centric planning to non-mechanized transportation. Thus, walking and cycling became natural alternatives due to their zero-carbon operation and health benefits. Computer vision (CV) techniques offer promising capabilities for analyzing and improving pedestrian sidewalk infrastructure and usage. Despite the current efforts, the literature lacks a comprehensive synthesis of studies applying CV to sidewalks, casting a shadow on the utilization of further artificial-based algorithms in this domain. Hence, this study provides a state-of-the-art analysis of CV applications on sidewalks by presenting 1) a scientometric analysis of existing studies, 2) systematic discussions of CV applications and architectures, 3) proposal of a framework for applying CV in sidewalk studies, and 4) existing gaps and future research opportunities. The publication trend analysis indicated accelerated growth in sidewalk-focused CV research since 2018, with peaks in the last five years, indicating rising scholarly interest. The keyword analysis revealed seven clusters, where “pavements”, “computer vision”, and “deep learning” are the top keywords based on their degree centrality. The systematic analysis identified and discussed CV applications to sidewalk accessibility, path conditions, and user behaviors, showing that convolutional neural networks are the most adopted architecture in this domain. This study offers academics and industry professionals essential perspectives into the developing research area of leveraging CV for analyzing diverse facets of sidewalks. It highlights the imperative to tackle identified research gaps via innovative techniques and collaborative efforts, in addition to openly sharing datasets and source code.

智慧城市和交通部门的脱碳引发了重大的环境政策改革，将城市环境从以汽车为中心的规划转变为非机械化交通。因此，步行和骑自行车由于其零碳操作和健康益处而成为天然的替代品。计算机视觉（CV）技术为分析和改善人行道基础设施和使用提供了有前途的能力。尽管目前做出了努力，但文献缺乏将CV应用于人行道的综合研究，这为该领域进一步使用基于人工的算法蒙上了阴影。因此，本研究对人行道上的CV应用进行了最新的分析，包括：1)对现有研究的科学计量分析；2)对CV应用和架构的系统讨论；3)在人行道研究中应用CV的框架建议；4)现有的差距和未来的研究机会。发表趋势分析表明，自2018年以来，以人行道为中心的CV研究加速增长，在过去五年中达到顶峰，表明学术兴趣日益浓厚。关键词分析显示了7个聚类，其中“人行道”、“计算机视觉”和“深度学习”是基于其度中心性的最重要关键词。系统分析确定并讨论了CV在人行道可达性、路径条件和用户行为方面的应用，表明卷积神经网络是该领域采用最多的架构。这项研究为利用CV分析人行道的各个方面的发展研究领域提供了学者和行业专业人士的基本视角。它强调，除了公开共享数据集和源代码外，还必须通过创新技术和合作努力来解决已确定的研究差距。

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引用次数: 0

A review on the influence of in-cylinder turbulence type on combustion characteristics of high power-density diesel engine 高功率密度柴油机缸内湍流类型对燃烧特性影响的研究进展

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.09.008

Zhongxi Tong , Han Wu , Zhicheng Shi , Leonid Myagkov

With the continuous improvement of performance requirements, direct injection diesel engines have gradually developed towards more small, lightweight, and high power, named as high power-density. It needs more injected fuel can be mixed and burn at the same duration time to guarantee the thermal-power conversion effects. It is required that the combustion system has a fast mixing speed of fuel and gas, and a fast combustion speed. Organizing appropriate cylinder turbulence is an effective means of optimizing combustion to reach requirements. The current work is aim to investigates and summarizes the influence of different types of in cylinder turbulence coursed by intake, spray, and combustion chamber configuration on the performance of a highly intensified diesel engine from the three causes of turbulence. The comparative study found that the adoption of a separate combustion chamber, the increase of intake swirl and number of nozzles can have positive effect on the optimization of the combustion process of a highly intensified diesel engine, but for different combustion chamber types, the influence of intake swirl and spray parameters was different. The separated combustion chamber is more sensitive to spray parameters than the combustion chamber without wall guide design. Compared with the transverse separated combustion chamber, the longitudinal separated combustion chamber is more suitable for large intake swirl ratio. For a specific combustion chamber structure, both intake swirl and spray parameters have optimal values.

随着人们对性能要求的不断提高，直喷柴油机逐渐向更小、更轻、更大功率的方向发展，被称为高功率密度。它需要更多的喷射燃料可以混合和燃烧在相同的持续时间，以保证热电转换效果。要求燃烧系统燃料与气体混合速度快，燃烧速度快。组织适当的气缸湍流是优化燃烧以达到要求的有效手段。本文从三种湍流成因出发，研究并总结了进气、喷淋和燃烧室结构所引起的不同类型的缸内湍流对高强度柴油机性能的影响。通过对比研究发现，采用单独燃烧室、增加进气涡流和增加喷嘴数量对高强化柴油机燃烧过程的优化有积极作用，但对于不同燃烧室类型，进气涡流和喷雾参数的影响是不同的。分离燃烧室比未设计壁面导流的燃烧室对喷雾参数更敏感。与横向分离燃烧室相比，纵向分离燃烧室更适合大进气涡流比。对于特定的燃烧室结构，进气旋流和喷淋参数都有最优值。

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引用次数: 0

Application of differential scanning calorimetry as advanced asphalt testing technology: A comprehensive review 差示扫描量热法作为先进沥青测试技术的应用综述

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.10.003

Hangtian Ni , Jianmin Ma , Daquan Sun , Lei Xu , Senlin Ling , Mingjun Hu

Understanding thermal mechanisms is crucial for the selection, modification, and application of asphalt binders. Differential scanning calorimetry (DSC), a sensitive calorimetric technique, enables quantitative assessment of heat-flow responses and reveals underlying processes. This review summarizes the principles and parameter choices of conventional DSC and modulated temperature DSC, covering specimen mass, heating and cooling rates, purge gas, and baseline treatment, and outlines practical workflows for erasing or preserving thermal history, configuring thermal cycles, and implementing isothermal holds. In terms of applications, DSC determines glass transition temperature, crystallization and melting behavior, enthalpy relaxation, and heat capacity; relates thermal signatures to rheology and to performance at low and high temperatures; and investigates oxidative and thermoreversible aging through kinetic analysis. For modified binders, DSC elucidates modification mechanisms, estimates modifier content, assesses compatibility, and evaluates storage stability and the tendency toward phase separation. The technique offers high precision with small sample requirements, enabling differentiation among asphalt sources and grades, analysis of thermal history, and rapid screening. Nevertheless, limitations persist, including thermal gradients, volatilization losses, and baseline drift. Coupling with dynamic shear rheometry, thermogravimetric analysis, infrared spectroscopy, and microscopy further connects thermodynamic features to microstructure and functional performance. Future directions include establishing standardized test protocols, extracting more detailed information from DSC and linking it more directly to asphalt pavement performance, building thermal fingerprint databases for identification and quality control, and developing efficient workflows that support materials design.

了解热机制对沥青粘合剂的选择、改性和应用至关重要。差示扫描量热法（DSC）是一种灵敏的量热技术，可以定量评估热流响应并揭示潜在的过程。本文总结了常规DSC和调制温度DSC的原理和参数选择，包括样品质量、加热和冷却速率、吹扫气体和基线处理，并概述了消除或保存热历史、配置热循环和实现等温保持的实际工作流程。在应用方面，DSC决定玻璃化转变温度、结晶和熔化行为、焓弛豫和热容；将热特征与流变学和低温和高温下的性能联系起来；并通过动力学分析研究氧化老化和热可逆老化。对于改性的粘合剂，DSC阐明了改性机制，估计了改性剂的含量，评估了相容性，并评估了储存稳定性和相分离的趋势。该技术以小样本要求提供高精度，能够区分沥青来源和等级，分析热历史和快速筛选。然而，限制仍然存在，包括热梯度、挥发损失和基线漂移。与动态剪切流变学、热重分析、红外光谱和显微镜相结合，进一步将热力学特征与微观结构和功能性能联系起来。未来的发展方向包括建立标准化测试协议，从DSC中提取更详细的信息，并将其与沥青路面性能更直接地联系起来，建立用于识别和质量控制的热指纹数据库，以及开发支持材料设计的高效工作流程。

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引用次数: 0

Analysis of the cooling performance based on the three-dimensional magnetic-thermal coupling in high-speed permanent magnet synchronous motor 基于三维磁热耦合的高速永磁同步电机冷却性能分析

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2025.03.003

Lingzi Wang, Yifan Wu, Yi Guo, Jianmei Feng, Xueyuan Peng

The high-speed permanent magnet synchronous motors (HSPMSM) serve as the primary driving mechanism for the air compressor within the hydrogen fuel cell system; however, the heating problem is serious in HSPMSM and the heat is difficult to dissipate, which leads to severe challenges to the life and safety of the hydrogen fuel cell system. To solve this problem, an accurate indirect magnetothermal coupling analysis model was established to obtain the temperature characteristics of the HSPMSM. The loss of HSPMSM was analyzed initially, followed by an investigation into the interplay between the temperature and electromagnetic fields. Utilizing this model, the cooling efficiency of the axial channel and circumferential parallel channel were compared, and the temperature distribution considering the influence of the load and the high-temperature gas on the load side of the air compressor was analyzed. The findings suggest that, for the centrifugal compressor motors utilized in hydrogen fuel cell systems, the axial cooling waterway is recommended.

在氢燃料电池系统中，高速永磁同步电机（HSPMSM）作为空气压缩机的主要驱动机构；然而，HSPMSM的加热问题严重，热量难以散失，对氢燃料电池系统的使用寿命和安全性提出了严峻的挑战。为了解决这一问题，建立了精确的间接磁热耦合分析模型，得到了高温永磁同步电机的温度特性。首先分析了HSPMSM的损耗，然后研究了温度和电磁场之间的相互作用。利用该模型对轴向通道和周向平行通道的冷却效率进行了比较，并分析了考虑负荷和高温气体对空压机负荷侧影响的温度分布。研究结果表明，对于氢燃料电池系统中使用的离心压缩机电机，建议采用轴向冷却水路。

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引用次数: 0

Methodologies for highway maintenance cost-effectiveness: A review 公路养护成本效益方法综述

IF 6.8 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Traffic and Transportation Engineering-English Edition

Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.04.011

Xuelian Wu , Xiaoli Shi , Xiaotian Gong , Xuancang Wang , Wenliang Chen

Highway maintenance cost-effectiveness analysis is critical in highway maintenance management. It provides the methodologies for highway managers to make decisions on the time, location, actions, and feasibility of maintenance implementation for a single maintenance section or the whole highway network. This paper aims to provide a comprehensive review of the methodologies used to evaluate the cost-effectiveness of highway maintenance, assess the applicability of various methods, pinpoint research gaps in existing literature, and offer research directions for the future. First, the cost-effectiveness hotspots are analyzed using bibliometric methods, and then highway maintenance effectiveness indicators, maintenance cost indicators, and methodologies for evaluating maintenance cost-effectiveness are reviewed. Four types of highway maintenance effectiveness indicators are considered: performance indicators, time indicators, environment indicators, and social indicators. Maintenance cost indicators are categorized into three categories: maintenance treatment costs, maintenance expenditures, and user costs. To analyze maintenance cost-effectiveness, the life-cycle cost approach (LCCA) and the combination of cost and effectiveness approach (CCEA) are two ways that have been investigated. According to the findings, it is essential to select an appropriate performance index and then forecast the performance of highway assets, which is the premise of calculating many kinds of maintenance effectiveness indicators. Additionally, studying from a life cycle perspective is a research hotspot, but there is a lack of utilization of maintenance cost prediction models, and user costs are not fully considered. Especially, the respective weight of maintenance expenditures and user costs. It is suggested that future maintenance cost-effectiveness evaluation should trade off the four dimensions of technology, economy, environment, and society from a life cycle perspective. Besides, more hybrid approaches capable of leveraging the merits of multiple approaches should be studied for cost-effectiveness analysis. These findings give some suggestions for further study of cost-effectiveness and also provide a theoretical basis for scientific highway maintenance management.

公路养护成本效益分析是公路养护管理的重要内容。它为公路管理者对单个养护路段或整个公路网实施养护的时间、地点、行动和可行性进行决策提供了方法。本文旨在全面回顾公路养护成本效益评估方法，评估各种方法的适用性，指出现有文献中的研究空白，并为未来的研究方向提供建议。首先，运用文献计量学方法分析了成本效益热点，然后对公路养护效益指标、养护成本指标和养护成本效益评价方法进行了综述。考虑了四种类型的公路养护效能指标：绩效指标、时间指标、环境指标和社会指标。维护成本指标分为维护处理成本、维护支出和用户成本三大类。为了分析维修成本-效果，研究了全寿命周期成本法和成本-效果结合法。根据研究结果，选择合适的性能指标，进而对公路资产的性能进行预测是至关重要的，这是计算各种养护效益指标的前提。此外，从生命周期角度进行研究是一个研究热点，但维护成本预测模型的利用不足，没有充分考虑用户成本。特别是，维护支出和用户成本的各自权重。建议未来的维修成本效益评价应从生命周期角度权衡技术、经济、环境和社会四个维度。此外，应该研究更多能够利用多种方法优点的混合方法，以进行成本效益分析。研究结果为进一步研究成本效益提供了建议，也为公路养护科学管理提供了理论依据。

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引用次数: 0