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Dear patrons, We’re excited to introduce SAE AI Chat – a new AI-powered feature now available in beta on Mobilus. With SAE AI Chat, you can: Ask natural language questions and receive responses derived from 12,000+ SAE standards Save time searching through extensive technical documents Summarize text and discover connections between different topics or publications The feature is currently in beta development phase and may have limitations. How to Get Access? This beta release is currently available only to a limited number of users. To request access: Visit our Signup Page Complete the form (< 2 minutes) We'll notify you if you've been selected for the beta program with instructions to login. We'll be rolling out access starting towards end of June 2025, so we encourage you to sign up promptly if you're interested. Have Questions? Visit the FAQs section or contact us for additional information. - The Mobilus Team

[ARCHIVED] Attn.: System maintenance @ 6 PM ET, April 15, 2025

Last updated: April 16, 2025, 09.11 AM ET Date posted (original message): April 15, 2025, 12.10 PM ET UPDATE: The maintenance work has been completed and the website is back up and running again. Thank you for your patience. ORIGINAL MESSAGE: Please note that this evening beginning at 6pm ET, we will be performing network maintenance on pieces of the core network infrastructure. We expect this work to last for 1 hour. During this period, access to Mobilus may be impacted and the site may be unreachable during this time. We will update once the maintenance activities have been completed. - The Mobilus team

[ARCHIVED] Experience WCX for Free—Expo Pass + Keynote Insights!

Join us at WCX 2025, where the future of mobility takes center stage! Get your FREE Expo Pass to explore groundbreaking technology, connect with industry leaders, and hear from visionary keynote speakers from Woven by Toyota, Stellantis, and Intel Automotive. For more information, visit: wcx.sae.org

[Resolved] Service notice - System issues

Update: Issue has been resolved. Please reach out to CustomerService@sae.org if you have any questions. -- Hello, Please be aware that we are currently experiencing system issues / slowness on the platform, and our teams are working diligently to resolve the issue as quickly as possible. We apologize for any inconvenience and appreciate your patience and understanding. Thank you for your continued support. Best regards, The Mobilus Team

[ARCHIVED] Counter Reports Issue - Fixed

Last updated: November 11, 2024 [LATEST UPDATE] The issue has been fixed and Counter reports are now accessible through the portal. Usage data until the previous month (i.e. October 2024) can be pulled in reports. Useful links: FAQs: https://saemobilus.sae.org/help/counter-usage-reports Mobilus Minute video on Counter: https://www.youtube.com/watch?v=45s8S3ixURk Thank you for your patience and understanding. - The Mobilus team -- [PREVIOUS MESSAGE HISTORY] Original announcement: Please note that Counter Database Reports and Title Reports are currently experiencing technical issues, and our team is working on restoring all functionality as soon as possible. We have disabled usage data extraction, while we're looking into the issue. If you need immediate access to usage reporting, please reach out to your SAE Mobilus sales representative. Thank you for your patience, and we apologize for the inconvenience.

[ARCHIVED] Important Notice: Sunset of Mobilus 3.0

[LATEST UPDATE] The legacy version of Mobilus (Mobilus 3.0) has now been officially sunset. Thank you for your valuable feedback and continued support in helping to improve Mobilus. - The Mobilus team -- [PREVIOUS MESSAGE HISTORY] IMPORTANT UPDATE: Sunset of Mobilus 3.0 (legacy version) We would like to inform you of an important update regarding SAE Mobilus - As part of our ongoing commitment to enhancing your experience, the legacy version of the platform (Mobilus 3.0) will be phased out on October 31, 2024. The current website with the newly redesigned interface introduced back in April, featuring an intuitive interface, improved search capabilities, advanced search, and in-depth browsing capabilities, will continue to remain operational going forward to support your needs. What You Need to Know: Last Day of Service (Mobilus 3.0): October 31, 2024 Content Access: You will retain access to all subscribed content through your institutional subscription. Personal Preferences Migration: While most settings tied to your Dasboard in Mobilus 3.0 (alerts, annotations, folders) will transfer over to the new platform, saved searches will not be retained and will need to be recreated in the new platform through your complimentary My Library account. Access the New Platform: Your institutional preferences around login (IP authentication, SSO, username/password) will be retained. We appreciate your understanding during this transition. Thank you for your continued support. If you have any questions, please don’t hesitate to contact us. Answers to common questions / FAQs are accessible here. Best regards, The Mobilus Team SAE International

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Recent SAE Edge™ Research Reports

Browse All 177

Wing-in-Ground Effect Vehicles: From Modern Military and Commercial Development to Global Disaster Response

EPR202501711/24/2025

The wing-in-ground effect (WIG) vehicle represents a significant advancement in aerodynamics and vehicle design, leveraging the ground effect phenomenon to enhance lift and reduce drag when flying close to the surface. This unique capability allows WIG vehicles to achieve higher payloads, longer range, and greater fuel efficiency compared to traditional aircraft, making them an attractive option for modern military and global disaster response applications. Wing-in-Ground Effect Vehicles: From Modern Military and Commercial Development to Global Disaster Response discusses future disaster response, logistics, and military applications for WIG vehicles, including the ongoing development of aerospace and transportation technology. Relavant advancements in materials and propulsion systems holds promise for further enhancing WIG performance and operational range. Additionally, cost-effective and powerful flight computers with various types of mission-enabling sensor suites from the

Next-gen AI for Aerospace Engineering

EPR202501609/22/2025

Despite growing investments, the widespread adoption and scalable deployment of generative artificial intelligence (AI) remains a challenge due to data trustworthiness, regulatory uncertainty, interpretability, and ethical governance. The need to accelerate automation and maintain the human-in-the-loop demonstrates broader questions of responsibility and transparency. Next-gen AI for Aerospace Engineering investigates the transformative role of GenAI within aerospace engineering, examining its shift from conventional workflows toward more AI-driven solutions in design, manufacturing, and maintenance. It emphasizes GenAI’s emerging ability to automate repetitive mundane tasks, reduce design complexity, and optimize engineering pipelines. The report underscores the need for validation methods that must align AI-generated outputs with physics-informed models, integration with legacy engineering tools (e.g., computational fluid dynamics, finite element analysis, digital twins), and

Sustainable Circular Future Mobility: Environmental Impact of Next-gen Vehicles

EPR202501509/22/2025

The next generation of mobility, driven by shared, driverless, connected, and electrified vehicles, holds strong potential to advance sustainability through lower emissions and improved resource efficiency. However, critical questions remain regarding their true environmental impact, including battery lifecycle management, material consumption, and circular manufacturing practices. Sustainable Circular Future Mobility: Environmental Impact of Next-gen Vehicles explores these unresolved issues, focusing on the shift from internal combustion to electric vehicles, supply chain challenges, regulatory gaps, and the operational realities of sustainable productization. It also critically examines the risks of greenwashing, the need for consistent standards, and the role of intersectoral collaboration—with energy, urban planning, information and communications technologies, and waste management sectors—in building resilient, scalable solutions. The report provides strategic recommendations and

Small, Mobile, and Autonomous Agricultural Robots

EPR202501208/13/2025

The automation of labor-intensive picking and planting operations is having an immediate impact in the agricultural indutry. In its simplest form, robotic automation can reduce the labor and soil disturbance while enabling organic soil cover and increasing species diversification through precision approaches to planting, weeding, and spraying. With this, pesticides and fertilizers can be applied in a more targeted way, and with machinery visiting fields more frequently, earlier and more targeted intervention can occur before pests become established. Small, Mobile, and Autonomous Agricultural Robots identifies issues that need to be resolved fo for this technology to thrive, including improving methods of acquiring and labeling training data to facilitate more accurate models for specific applications. It also discusses concepts such as general-purpose mechanical platforms for use as carriers of agricultural automation systems with high stability, positional accuracy, and variable

Safety Impacts of Active Safety and Driving Automation Features

EPR202501308/13/2025

Advanced technologies that assist the human driver or reduce (or even eliminate) the human driver’s role are becoming increasingly prevalent in new light-duty vehicles used by the general public. These technologies are divided between Active Safety features that monitor the human driver and vehicle motion and act intermittently to mitigate and avoid crashes, and Driving Automation features that assume some or all of the dynamic driving task from the human driver. Both types of technologies have the potential to reduce injuries and save lives by reducing the frequency and/or severity of crashes. Safety Impacts of Active Safety and Driving Automation Features addresses the current capabilities and future potential for Active Safety and Driving Automation features to reduce crash frequency and severity and provides an overview of the state of the industry for both types of features, including current deployments, trends, and anticipated rollouts. Gaps in knowledge, unsettled issues, and

Hybrid Data- and Physical Model-driven Safe and Intelligent Motion Planning and Control for Autonomous Vehicles

EPR202501407/18/2025

Autonomous vehicle motion planning and control are vital components of next-generation intelligent transportation systems. Recent advances in both data- and physical model-driven methods have improved driving performance, yet current technologies still fall short of achieving human-level driving in complex, dynamic traffic scenarios. Key challenges include developing safe, efficient, and human-like motion planning strategies that can adapt to unpredictable environments. Data-driven approaches leverage deep neural networks to learn from extensive datasets, offering promising avenues for intelligent decision-making. However, these methods face issues such as covariate shift in imitation learning and difficulties in designing robust reward functions. In contrast, conventional physical model-driven techniques use rigorous mathematical formulations to generate optimal trajectories and handle dynamic constraints. Hybrid Data- and Physical Model-Driven Safe and Intelligent Motion Planning and

Product Assurance in the Age of Artificial Intelligence

EPR202501105/21/2025

Driven by the vast consumer marketplace, the electronics megatrend has reshaped nearly every sector of society. The advancements in semiconductors and software, originally built to serve consumer demand, are now delivering significant value to non-consumer industries. Today, electronics are making inroads into traditionally conservative, safety-critical sectors such as automotive and aerospace. In doing so, electronics—now further propelled by artificial intelligence—are disrupting the functional safety architectures of these cyber-physical systems. Electronics have created the world of cyber-physical systems, raising broader concerns about the broader category of product assurance. Product Assurance in the Age of Artificial Intelligence continues the work of previous SAE Edge Research Reports in examining open research challenges arising from this shift, particularly in automotive systems, as core electronic technologies (e.g., the combination of software and communications) have even

Edge Artificial Intelligence in Connected, Cooperative and Automated Mobility

EPR202500905/20/2025

With many stakeholders involved, and major investments supporting it, the advancements in automated driving (AD) are undoubtedly there. Generally speaking, the motivation for advancing AD is driver convenience and road safety. Regarding the development of AD, original equipment manufacturers, technology start-ups, and AD systems developers have taken different approaches for automated vehicles (AVs). Some manufacturers are on the path toward stand-alone vehicles, mostly relying on onboard sensors and intelligence. On the other hand, the connected, cooperative, and automated mobility (CCAM) approach relies on additional communication and information exchange to ensure safe and secure operation. CCAM holds great potential to improve traffic management, road safety, equity, and convenience. In both approaches, there are increasingly large amounts of data generated and used for AD functions in perception, situational awareness, path prediction, and decision-making. The use of artificial

Leveraging Advanced Data Technologies for Smart Traffic Management

EPR202500805/20/2025

The transportation industry is transforming with the integration of advanced data technologies, edge devices, and artificial intelligence (AI). Intelligent transportation systems (ITS) are pivotal in optimizing traffic flow and safety. Central to this are transportation management centers, which manage transportation systems, traffic flow, and incident responses. Leveraging Advanced Data Technologies for Smart Traffic Management explores emerging trends in transportation data, focusing on data collection, aggregation, and sharing. Effective data management, AI application, and secure data sharing are crucial for optimizing operations. Integrating edge devices with existing systems presents challenges impacting security, cost, and efficiency. Ultimately, AI in transportation offers significant opportunities to predict and manage traffic conditions. AI-driven tools analyze historical data and current conditions to forecast future events. The importance of multidisciplinary approaches and

Automated Vehicles and Infrastructure Enablers: Dedicated Lanes

EPR202500704/24/2025

Dedicated lanes provide a simpler operating environment for ADS-equipped vehicles than those shared with other roadway users including human drivers, pedestrians, and bicycles. This final report in the Automation and Infrastructure series discusses how and when various types of lanes whether general purpose, managed, or specialty lanes might be temporarily or permanently reserved for ADS-equipped vehicles. Though simulations and economic analysis suggest that widespread use of dedicated lanes will not be warranted until market penetration is much higher, some US states and cities are developing such dedicated lanes now for limited use cases and other countries are planning more extensive deployment of dedicated lanes. Automated Vehicles and Infrastructure: Dedicated Lanes includes a review of practices across the US as well as case studies from the EU and UK, the Near East, Japan, Singapore, and Canada. Click here to access the full SAE EDGETM Research Report portfolio.

Latest Journal Issues

Browse All 16

Passenger Vehicle Systems

Electrified Vehicles

Advances and Current Practices in Mobility

Sustainable Transportation, Energy, Environment, & Policy

Connected and Automated Vehicles

Transportation Cybersecurity and Privacy

Vehicle Dynamics, Stability, and NVH

Transportation Safety

Alternative Powertrains

Commercial Vehicles

Engines

Materials and Manufacturing

Fuels and Lubricants

Aerospace

Passenger Cars - Mechanical Systems

Recent Books

Browse All 711

The Racing & High-Performance Tire

R-59412/17/2025

The Racing & High-Performance Tire originally published in 2003 and continues to be a best-seller. Following up on his first two books, Inside Racing Technology and Inside Racing: A Season with the PacWest CART Team, Paul Haney presents a new book revealing the complexities of tires, how they influence vehicle dynamics, and how to use tires in the engineering of racing and high-performance cars. More than 150 photos and drawings help the reader learn the colorful history and unique characteristics that make the pneumatic tire one of the world's most complex and useful products.

Manufacturing Reliability Growth for Automotive Engineering Volume III

R-55112/11/2025

As the third installment in SAE International's DOE for Product Reliability Growth series, this volume explores the critical intersection of manufacturing processes, reliability, and profitability in automotive engineering. With a sharp focus on innovation, cost-efficiency, and customer satisfaction, this book demonstrates how design of experiments (DOE) methodologies can transform product quality through smarter manufacturing decisions. From structural assemblies to additive manufacturing, Volume III offers hands-on, data-driven guidance for engineers and professionals. Key topics include: • Structural Joints: Analyze and optimize bonded and mechanical joints-bolts, rivets, welds, adhesives, and more-using real-world DOE case studies to ensure robust assembly. • Mechanical Fabrication: Improve precision and consistency in processes like injection molding, drilling, heat treatment, and surface finishing through targeted DOE applications. • Electronic Fabrication: Harness DOE to enhance

Pedestrian Accident Reconstruction

R-59010/30/2025

As technology advances, so too must the methods we use to investigate and understand pedestrian collisions. Pedestrian Accident Reconstruction provides a much-needed update to the field—one that reflects the dramatic rise in digital evidence and the growing role of simulation in modern reconstructions. While earlier texts laid the foundation for understanding pedestrian impacts, they were written before the widespread use of video footage, onboard vehicle sensors, and powerful simulation software. This book addresses that shift. It introduces updated methods that incorporate event data recorders, surveillance video, dash cams, and advanced simulation tools like the PC-Crash multibody pedestrian model. These technologies allow for more precise, repeatable, and illustrative reconstructions than ever before. The book highlights when and how simulation can enhance an investigation—especially in complex scenarios such as roof vaults, sideswipes, or collisions that defy conventional

Composite Materials Handbook Volume 3 - Revision H

R-64010/16/2025

The third volume of this six-volume compendium provides methodologies and lessons learned for the design, analysis, manufacture, and field support of fiber-reinforced, polymeric-matrix composite structures. It also provides guidance on material and process specifications and procedures for using the data that is presented in Volume 2. The information provided is consistent with the guidance provided in Volume 1, and is an extensive compilation of the current knowledge and experiences of engineers and scientists from industry, government, and academia who are active in composites. The Composite Materials Handbook, referred to by industry groups as CMH-17, is a six-volume engineering reference tool that contains over 1,000 records of the latest test data for polymer matrix, metal matrix, ceramic matrix, and structural sandwich composites. CMH-17 provides information and guidance necessary to design and fabricate end items from composite materials. It includes properties of composite

McLaren: The Engine Company, Second Edition

R-58910/10/2025

McLaren: The Engine Company is the previously untold story of McLaren Engines-an American powerhouse founded in 1969 by Bruce McLaren and his partners to support the legendary McLaren Can-Am and Indy Car programs. From a modest facility in suburban Detroit came thunderous 8-liter Chevrolet V8s that carried McLaren's signature papaya-orange racecars to dominate the final years of Can-Am racing. The dyno rooms echoed with innovation, producing 1,000-horsepower turbo Offenhausers that twice put McLaren in Victory Lane at the Indianapolis 500 between 1972 and 1976. This updated second edition features newly added historical images and refined content that brings fresh clarity to the remarkable legacy of McLaren Engines. Though the core story remains the same, these updates enhance the reader's experience and provide richer visual context to the engineering feats described throughout. Inside, you'll explore how this unassuming shop on Eight Mile Road became a magnet for top manufacturers

Beyond Compliance: Leveraging AS9100D and ISO9001:2015 Audit Findings for Continual Improvement

R-59210/10/2025

Beyond Compliance is more than just another quality management guide—it’s a powerful, practical roadmap for aerospace, defense, and manufacturing organizations committed to excellence through AS9100D and ISO 9001:2015 standards. Every year, thousands of companies face audits. And every audit reveals something: nonconformities, gaps, or hidden inefficiencies. These findings can be brushed aside—or they can become the spark for meaningful change. This book shows you how to choose the latter. Drawing on decades of real-world auditing, consulting, and industry experience, the author presents 137 real case studies—true stories from actual audits that uncover critical lessons and opportunities. Each scenario is designed to engage, educate, and equip you with practical insights you can apply immediately to your own processes. Beyond Compliance challenges the idea that audits are just about passing or failing. Instead, it presents a new mindset: audits are not the end—they're the beginning of

Mobility Reimagined: My First Decade at the Crossroads of Change

R-57310/09/2025

In Mobility Reimagined, Umar Zakir Abdul Hamid shares an unfiltered, deeply personal account of his first decade navigating the rapidly evolving automotive and mobility sectors. From engineering labs in Malaysia and Japan, to startup scenes in Southeast Asia and Finland, to boardrooms in Europe, keynote stages in China, and virtual standardization sessions with professionals in the US, Umar traces a career shaped by curiosity, courage, and a commitment to democratizing opportunity. As a brown Southeast Asian professional rising in an industry historically shaped by Western and East Asian leadership, Umar offers more than technical insight, he opens a window into what it takes to lead across borders, disrupt legacy systems, and redefine success on his own terms. This book is part strategy guide, part industry overview, and part leadership memoir. It speaks to young professionals, especially those from underrepresented backgrounds, offering hard-won lessons on global expansion, digital

Software Defined Vehicles

R-59509/22/2025

Software Defined Vehicles This book provides a clear, in-depth introduction to the concept of software-defined vehicles (SDVs) and their role in the changing mobility ecosystem. It explores how software has become the core enabler of innovation, allowing manufacturers to deliver new features, safety functions, and comfort enhancements to their customers after a vehicle leaves the showroom floor. From advanced driver assistance systems (ADAS) to AI-powered co-pilots, SDVs are shifting the focus from hardware to dynamic, user-centric, service models that offer continuous software updates and upgrades. Software Defined Vehicles also delves into the broader societal and consumer shifts driving this change. Readers will gain insight into how new generations view transportation, how business models like Mobility as a Service (MaaS) are evolving, and why sustainability and flexibility now take precedence over traditional car ownership. Whether you're a technology professional, automotive

Sustainable and Affordable Mobility for All: Putting the Heart Back into Technology

R-58608/14/2025

Sustainable and Affordable Mobility for All offers a bold, yet practical vision for the future of transportation. Drawing from deep technical expertise and global experience, Chris Borroni-Bird presents a transformative approach to the automotive industry, tackling critical issues like economic development, environmental sustainability, and universal access. This groundbreaking book explores how advanced technologies such as electric, autonomous, and connected vehicles can revolutionize not only personal mobility but also urban transport and public systems. It calls for a shift toward "right-sized" vehicles, designed to meet real-world needs without over-engineering. Borroni-Bird’s solutions are scalable and adaptable to both developed and developing markets, ensuring affordable and sustainable mobility for all. With insights from 30 years of rapid innovation, including ridesharing platforms and robotaxis, this book blends technology, human factors, and sustainability to inspire a

Metallic Materials Properties Development and Standardization (MMPDS) Handbook - 2025 - Volume I

B-993_VOLUME108/13/2025

The Metallic Materials Properties Development and Standardization MMPDS-2025 supersedes MMPDS-24 and prior editions of the MMPDS Handbook as well as all editions of MIL-HDBK-5, Metallic Materials and Elements for Aerospace Vehicle Structures Handbook that were maintained by the U.S. Air Force. The last edition, MIL-HDBK-5J was cancelled by the U.S. Air Force in March 2006. This document contains design information on the mechanical and physical properties of metallic materials and joints commonly used in aircraft and aerospace vehicle structures. All information contained in this Handbook has been reviewed and approved using a standardized process. The development and ongoing maintenance process involves certifying agencies, including the FAA, DoD, and NASA, and major material suppliers and material users worldwide. The information and procedures in this Handbook are continuously reviewed and modified or removed as determined to be appropriate. With advances in materials and fastener

Recently Published

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2025 8 ^th International Conference on Traffic Transportation and Civil Architecture (ICTTCA)

2025-99-0200

12/23/2025

TOC

Tobolski, Sue

Pure Electric Bus of Operational Consulting and Analysis Transit: A Case Study of Wuhu City

2025-99-0252

12/23/2025

As China’s socio-economic progress accelerates, residents’ mobility preferences are growing more varied. Owing to their eco-friendliness, high capacity, fixed routes and low prices, pure-electric buses have become a key component of urban transit. Yet day-to-day service is hindered by low fleet availability, limited daily kilometres and poor service quality, all of which erode operation efficiency. Taking Wuhu’s public transport network as a case study, this paper builds a performance-assessment framework for electric bus routes. Using stop-level topology, vehicle specifications and spatiotemporal passenger-flow data from eight representative routes, the study applies the Analytic Hierarchy Process (AHP). A three-tier hierarchy—goal, criteria and alternatives—is constructed; index weights and pairwise comparison matrices are then computed to rank overall route effectiveness. The findings accurately pinpoint operational bottlenecks and furnish quantitative guidance for adaptive network

Hu, Tingting, Liang, Zijun, Li, Xiaoyan, Zhang, Xinyi, Wang, Mengru, Hu, Yufeng, Jiang, Kang

Research on Prediction Methods for the Scale of Chartered Passenger Transport Capacity

2025-99-0225

12/23/2025

Under the background of advancing the integration of urban and rural road passenger transport and the bus-oriented transformation of scheduled passenger transport, the traditional road passenger transport market has been severely impacted. There is an urgent need to promote the healthy development of chartered passenger transport to meet the public’s demand for high-quality travel. Based on the supply-demand balance theory, a prediction model for chartered passenger transport capacity scale was constructed, and the capacity scale of chartered passenger transport in a typical city was predicted as an example. Finally, countermeasures and suggestions for chartered passenger transport capacity allocation were proposed from five aspects: planning formulation, risk warning, mechanism clarification, performance evaluation, and responsibility implementation.

Zhao, Haibin, Zhao, Xiangyu, Xing, Li, Wei, Linghong, Peng, Xiao, Liao, Kai

Research on Passengers’ Willingness to Travel by Rail Transit Based on Objective Factors and Subjective Perceptions

2025-99-0251

12/23/2025

In the context of the accelerating urbanization process, the problem of urban traffic congestion has become more severe. Rail transit, with its advantages of high efficiency, convenience, and environmental friendliness, has become a key force in alleviating urban traffic pressure. An in - depth exploration of passengers’ willingness to travel by rail transit is of great significance for optimizing urban traffic planning, improving the service quality of rail transit, and promoting the sustainable development of cities. This article starts from two dimensions: objective factors and passengers’ subjective perceptions, and comprehensively uses a variety of research methods to conduct an in - depth study on passengers’ willingness to travel by rail transit. In terms of objective factors, this article analyzes the differences in subjective perceptions among different passenger groups from the perspectives of gender, age, education level, and occupation. In terms of subjective perceptions

Wang, Gang, Huang, Lei, Yang, Yihao

Analysis of the Structural Alignment during the System Conversion of Continuous Beam Bridges with High Piers, Long Spans and Wide Box Girders

2025-99-0224

12/23/2025

With the rapid development of the worldwide highway transportation industry, continuous box girder bridges have many advantages, such as superior spanning capacity, reasonable force-bearing performance, and low cost, which give them significant strengths in bridge design. However, to ensure that the structural alignment of the girder meets the design and specification requirements, it is necessary to study the laws of alignment changes of cantilever structures during the construction process. This is to reasonably control the alignment of the main girder structure during construction and ensure that the alignment of the completed bridge is consistent with the design alignment. This paper takes a continuous rigid frame bridge on a certain expressway as the engineering basis. Its superstructure is a three-span prestressed concrete continuous box girder with a span of (88 + 160 + 88) m, a bridge width of 16.5 m, and a maximum pier height of 130 m. The paper analyzes the influence of each

Liu, Xingshun, Ma, Kun, Zhao, Qiang

Optimization Model of Express–Local Train Schedules under Cross-Line Operation of Suburban Railway

2025-99-0245

12/23/2025

Cross-line operation is a key direction for the integrated development of multi-level rail transit systems in urban agglomerations. Optimizing train operation under cross-line conditions is essential for improving the overall efficiency and service quality of rail networks. This paper addresses the joint problem of suburban railway cross-line operation and express–local train coordination. This paper develops a train scheduling optimization framework that jointly selects service patterns and departure schedules, with the objective of reducing overall costs, including passenger travel time and operating expenses. To solve the model efficiently, an extended Adaptive Large Neighborhood Search (ALNS) algorithm is developed. The proposed approach provides a practical framework for timetable planning in complex cross-line rail systems and contributes to enhancing integrated transit operations.

Zhu, Jingyi, Guo, Xin, Pan, Jianju

Experimental Research on MFL Detection Technology for Corrosion Damage of Prestressing Tendons in Bridges

2025-99-0203

12/23/2025

Corrosion of prestressed tendons endangers the safety of bridges, but until now, there has been no effective method to solve the problem of detecting corrosion damage in prestressed tendons of concrete beams. To address this, a magnetic flux leakage detection experimental apparatus for corrosion damage in prestressed tendons based on the principle of magnetic flux leakage inspection has been developed. Using this apparatus, magnetic flux leakage tests were conducted on prestressed tendons after electrochemical corrosion, and the results were compared with simulation analysis to conduct a comparative study. In the experiments, the influence of corrosion severity, corrosion width, and the effect of stirrups on the characteristics of the magnetic flux leakage signals were studied. Magnetic signal feature values were extracted, and a quantification neural network model for corrosion damage was established, which is used to quantify the degree of corrosion damage in prestressed tendons. The

Wang, Peng, Gao, Min, Dong, Lei, Zhu, Junliang

Research on Vibration Influence in Spatial Carrier Testing Under Thermal Vacuum Environment

2025-99-0211

12/23/2025

The effective measurement and verification of dimensional stability indicators for large size and highly stable structures in service environments is the key to the development of high-precision spacecraft technology. Spatial carrier speckle interferometry technology has been widely used for high-precision measurements in recent years due to its advantages of fast speed, high accuracy, and simple operation. However, the existing technical research only focuses on the measurement under normal temperature and pressure environments, and there is little research on the application under complex operating conditions in space. There is currently no relevant research on the impact of system ambient vibration and noise on measurement stability disturbances. In response to the above issues, a high-precision deformation measurement system suitable for complex environments of high and low temperatures in a vacuum was designed based on spatial carrier measurement technology. A system measurement

Sun, Zijie, Tang, Xiaojun, Chen, Dongkangkang, Yang, Deyu, Yu, Wentao, Li, Xiaqiao, Xin, Liang

Risk Identification and Accompanying Information Service Design of Long Downhill Road Section

2025-99-0250

12/23/2025

In order to reduce traffic accidents and losses in long downhill sections of expressways, giving drivers reasonable prevention and control means of information induction can improve the safety of long downhill sections. The location of the accompanying information service of the driver's vehicle terminal and the rationality of the intervention information are worth studying. This study takes a high-speed long downhill road as an example, divides the risk level of the long downhill road based on the road safety risk index model, and verifies it with the help of driving behavior data. Secondly, three coverage schemes of sensing devices are designed according to the results of risk classification, and the HMI interface of accompanying information service is designed according to the different coverage degrees of sensing devices. Finally, a driving simulation experiment was carried out based on the driving simulator, and the speed control level, psychological comfort level, operational

Wang, Yuejia, Weng, Wenzhong, Luan, Sen, Dai, Yibo

Research on Adaptation and Reliability Testing Methods for Electric Vehicles under Southeast Asian Climatic Conditions

2025-99-0240

12/23/2025

This paper explores the adaptability and reliability testing methods of electric vehicles under the unique high-temperature and high-humidity climate conditions in Southeast Asia. The focus of the research here is on five key performance evaluation contents, namely reliability driving test, charging performance test, range assessment, air conditioning cooling efficiency, and in-vehicle air quality monitoring. Relying on a meticulously designed experimental plan, standardized testing procedures, and comprehensive data analysis, this paper assesses the performance of electric vehicles under extreme environmental conditions. The research results show that the climate in Southeast Asia poses significant challenges to the battery systems, powertrains, and thermal management systems of electric vehicles. Based on empirical results, some improvement suggestions are made to support the deployment and application of electric vehicles in this region.

Wang, Weijie, Deng, Tianhao, Wu, Yilong, Zang, Haonan

Research on Early Warning Standard for Deformation of Surrounding Rock in Nearby New Four-Lane Tunnels

2025-99-0208

12/23/2025

Focusing on the deformation warning criteria for a new four-lane tunnel affected by an existing tunnel, this study employs numerical simulation to analyze the ultimate strain of the equivalent rock mass. The results reveal the ultimate shear strain and ultimate tensile strain of Class V surrounding rock, offering critical insights for deformation control and early warning systems. Relying on the Maaoling Tunnel Project, the tunnel planar analysis model is established based on the finite difference FLAC3D software to analyze the deformation and strain distribution pattern of the surrounding rock of the new tunnel under different distances and reduction factors between the new and the existing tunnel. Finally, the tunnel crown settlement as an indicator, the establishment of the Maaoling Tunnel V surrounding rock conditions of different distances construction safety warning standard for the construction of large-span tunnels and early warning provides the basis for the relevant

Zhang, Yufan, Tian, Wei, Liu, Dongxing, Kang, Xiaoyue, Chen, Liming, Zheng, Xiaoqing

Research Progress on Pavement Performance Prediction Models: A Review

2025-99-0249

12/23/2025

Road maintenance plays a vital role in maintaining road conditions and ensuring safety, especially in a country with an extensive road network like China. To accurately predict pavement performance, optimize maintenance strategy, reduce cost and improve road efficiency, the paper systematically combed and evaluated the prediction model of pavement performance. Firstly, the importance of pavement maintenance and the background of pavement maintenance performance prediction model are described, and explicit models (mechanical-empirical model, stochastic process, time series analysis) and machine learning models (regression analysis, support vector machine, integrated learning, artificial neural network, deep learning) are introduced respectively. The basic principle, representative study, advantages and disadvantages of each model are introduced in detail. Comparative analysis shows that the traditional explicit model is simple and effective, easy to explain, but difficult to deal with

Ma, Muyun, Dong, Qiao, Lin, Yelong

Research on Green and Low-Carbon Key Technology System of Tram

2025-99-0228

12/23/2025

In the context of mounting urban transportation demands, coupled with the imperatives for energy conservation and carbon reduction, incumbent tram systems confront a range of challenges. This paper proposes a green and low-carbon technological framework for tram, encompassing three phases of planning, design, construction, and operation management. It elucidates the energy-saving and environmental protection technical measures inherent in each phase, accompanied by a thorough analysis of their respective advantages and ramifications. The paper further puts forward suggestions for the green and low-carbon transformation of trams, providing both theoretical guidance and practical reference for the sustainable development of trams.

Luan, Zhi-Gang, Zhou, Hai-Zhu, Wang, Yuan-Qiao, Cai, Jing-Biao, Zhou, Li-Ning, Zheng, Liang-Ji, Tian, Jiu-Li

Study on the Environment of Subway Stations from the Passengers’ Perception: A Case Study of Shenzhen Metro

2025-99-0230

12/23/2025

As a part of high-capacity public transportation system, subway stations necessitate evaluations from passengers’ perspective, which is the goal of this study. It took Shenzhen Metro as an object, employing field observations and questionnaire interviews as primary methods. The questionnaire was structured across four dimensions: subjects demographics, travel routines and in-station experiences, evaluations of wayfinding systems and facilities, and suggestions for improvements. Data analysis reveals that the majority of the subjects use the subway for daily commuting, and the congestion spots are concentrated at station entrances/exits, security checkpoints, vertical circulation points, and train door zones. The subjects’ overall satisfaction with Shenzhen Metro is quite high, driven primarily by wayfinding signage efficacy, route fluency (entry/exit/transfer), and safety perceptions. Subway station design should take spatial layouts and passenger flow optimization into consideration

Wu, Xiangyang, Gan, Xuanci

Analysis of Dynamic Characteristics of Half-Through Arch Bridge under Vehicle-Bridge Coupling

2025-99-0223

12/23/2025

The half-through arch bridge, known for its efficient structural design and seamless integration with the surrounding environment, is widely utilized in urban transportation infrastructure. However, during operation, the hangers of the through and half-through arch bridge are exposed to various factors, including environmental conditions and cyclic traffic loads, which often cause the hanger of these bridges to rust and fracture, will lead to structural damage or even the collapse of the entire bridge. Therefore, investigating the dynamic performance of half-through arch bridges, both before and after hanger damage, under vehicle-bridge coupling is of paramount importance for understanding the overall performance of the bridge. In this study, a half-through arch bridge was selected as the subject of investigation. A three-dimensional finite element model of the bridge was developed based on real-world engineering projects, and a numerical simulation of the vehicle-bridge coupling

Chen, Xiaobing, Ji, Wei

Study on Evolution of Surrounding Rock Stability and Structural Mechanical Behavior During In-Situ Expansion of Existing Tunnels in Weak Rock Mass

2025-99-0207

12/23/2025

To address the escalating traffic demands and tackle the complex mechanical challenges inherent in in-situ tunnel expansion, this study, grounded in the Huangtuling Tunnel project in Zhejiang Province, China, focuses on the stability evolution of surrounding rock and the mechanical characteristics of structures during the in-situ expansion of existing tunnels under weak surrounding rock conditions. By systematically comparing core post-excavation features—such as surrounding rock displacement fields, ground pressure distribution pat-terns, and mechanical responses of support structures—between newly constructed tunnels and in-situ expanded tunnels, the research reveals key mechanical principles governing the construction of large-section tunnels in weak rock formations. Specifically, the findings are as follows: (1) Both newly constructed and in-situ expanded large-section tunnels exhibit significant spatial heterogeneity in surrounding rock deformation. The vault-spandrel zones serve

Zheng, Xiaoqing, Kang, Xiaoyue, Xu, Kai, Chen, Tao, Huo, Xinwang, Chen, Chuan

Research on Energy Consumption Simulation and Carbon Emission Simulation in the Rail Transit Operation and Maintenance Phase Based on DesignBuilder: A Case Study of Tongyuan Road South Station on Suzhou Metro

2025-99-0222

12/23/2025

At present, the rail transit network in China is well-developed and has become an important means of daily travel for residents. Rail transit stations usually achieve seamless connections with other transportation modes such as buses, taxis, and shared bicycles. It will evolve into an integrated transportation hub, effectively alleviating the pressure on urban surface transportation and playing a pivotal role in dispersing a large number of commuters. Meanwhile, with the vigorous development of rail transit, its energy consumption is increasing. It results in considerable carbon emissions, which poses a huge challenge to China’s goal of achieving carbon neutrality by 2030. In this paper, the building energy consumption simulation tool DesignBuilder is used to model the Tongyuan Road South Station of Suzhou Rail Transit. The energy consumption generated during its operation stage is simulated, and the carbon emissions produced by Tongyuan Road South Station at this stage are calculated

Zhu, Ning

Study on Seismic Performance of a Prefabricated CFST Bridge Pier

2025-99-0204

12/23/2025

This paper investigates the seismic performance of the prefabricated concrete-filled steel tubular (CFST) bridge pier in the bridge system-level. The proposed prefabricated CFST bridge pier is composed of circular thin-walled CFST double-column, precast I-shaped tie beams, and precast RC cap beam, which are assembled by simply on-stie assembly connections, with advantages in good seismic performance, convenient construction, and comparable material cost. A total of 12 two-span continuous beam bridge cases are designed, including 2 typical bridges with reinforced concrete (RC) piers and 10 bridges with CFST piers. Numerical research on the hysteretic performance of piers in bridge cases, dynamic responses of all bridge cases, and their seismic fragility. The results demonstrate that prefabricated CFST piers outperform RC piers in both load-bearing capacity and energy dissipation, and these piers exhibit reduced transversal displacement at the top and decreased maximum curvature when

Gu, Chao, Wang, Xuanding

Study on the Influence of Liquid Composite Swivel Arm Positioning Nodes on the Dynamic Performance of High-Speed Trains

2025-99-0255

12/23/2025

Rubber components are an important part of the suspension system of high-speed trains, and the complex nonlinear characteristics of rubber parts have a significant impact on the vehicle dynamic performance. This paper establishes a nonlinear dynamics model of the liquid composite swivel arm positioning node, which can reflect the dynamic stiffness and dynamic damping characteristics of the rubber components that change nonlinearly with the frequency and amplitude, and also has a fast calculation speed. The vehicle dynamics simulation model considering the longitudinal stiffness nonlinear characteristics of the arm node is established, and the influence of the stiffness nonlinearity of the liquid composite arm positioning node on the dynamic performance of the vehicle, such as straight-line stability and curve passing ability, is studied in depth through numerical simulation.

Cheng, Junqiang, Yang, Chen, Li, Longtao, Cong, Rilong, Hu, Tingzhou

Research on Railway Electric Locomotive Styling Design Based on KE-AHP

2025-99-0209

12/23/2025

Objective:Methods:Conclusion:

Dai, Hongzhou, Li, Jian, Zhao, Di, Liu, Haoran

A Control Method of Time-Domain Noise from Shells Based on a CGVF Algorithm

2025-99-0201

12/23/2025

The presence of time-varying loads on shell structures can result in the generation of undesirable noise in the time domain. This paper presents a time-domain noise control method based on piezoelectric smart shell structures. Firstly, a coupled time-domain finite element/boundary element method (TDFEM/BEM) is used to calculate the sound pressure radiated from shell structures subjected to arbitrary time-varying loads. Then a classical time-domain CGVF algorithm is used to control the vibration and to suppress the sound radiation from structures. Finally, numerical examples demonstrate a 44.2% reduction in the displacement response, a 35.8% decrease in acceleration response, a 36.2% decline in sound pressure of the central node, and a 28.5% decrease in average surface sound pressure. The results show that after CGVF control, the vibration and radiation noise of the plate/shell structure under time domain load are effectively reduced, which is of great significance in engineering

Zheng, Hao, Wang, Hongfu, Li, Jingjing, Zhou, Qiang, Sun, Yong, Zhou, Ling, Zhang, Hongliang, Wang, Baichuan, Huang, Junsong, Liu, Xiaorang, Yin, Guochuan

Trajectory Reconstruction at Signalized Intersections in a Vehicle-to-Infrastructure Environment

2025-99-0217

12/23/2025

Vehicle trajectories encapsulate critical spatial-temporal information essential for traffic state estimation, congestion analysis, and operational parameter optimization. In a Vehicle-to-Infrastructure (V2I) environment, connected automated vehicles (CAVs) not only continuously transmit their own real-time trajectory data but also utilize onboard sensors to perceive and estimate the motion states of surrounding regular vehicles (RVs) within a defined communication range. These multi-source data streams, when integrated with fixed infrastructure-based detectors such as speed cameras at intersections, create a robust foundation for reconstructing full-sample vehicle trajectories, thereby addressing data sparsity issues caused by incomplete CAV penetration. Building upon classical car-following (CF) theory, this study introduces a novel trajectory reconstruction framework that fuses CAV-generated trajectories and infrastructure-based speed detection data. The proposed method specifically

Bai, Wei, Fu, Chengxin, Yao, Zhihong

Research on the Decision-making Model and Algorithm of Following and Lane-Changing Behavior of Connected Autonomous Vehicles on Freeway

2025-99-0236

12/23/2025

In order to achieve the widespread application of autonomous driving technology in basic freeway segments, especially in the automated decision-making of following and lane changing behaviors, Connected Autonomous Vehicles (CAVs) must be able to reliably complete driving tasks in complex traffic environments. Our study introduces a novel behavior decision-making architecture for connected autonomous vehicles, which employs the Dueling Double Deep Q-Network (D3QN) algorithm as its core methodology. The model optimizes the decision-making ability in complex traffic scenarios by separating action selection and value assessment and implementing them by different neural networks. The multi-dimensional reward function, which comprehensively considers safety, comfort and efficiency, is introduced into the reinforcement learning training of the model. The simulation scenario of the basic freeway segment is established and the model is trained in the mixed traffic flow environment, compared

Hou, Zhiyun, Yang, Xiaoguang

Research on Rapid Tunnel Entry Construction Technology for Four-Lane Tunnels with Shallow Cover and Unbalanced Load in Weak Surrounding Rock

2025-99-0206

12/23/2025

For shallow-buried tunnels in weak surrounding rock, methods such as the Cross Diaphragm (CRD) method, the Center Diaphragm (CD) method, and the Double-sided Wall Pilot Tunnel method are commonly used for tunnel entry construction. These conventional methods require the installation of numerous temporary supports, which significantly impact the progress of tunnel construction to a certain extent. Based on the Yanfeng Tunnel project, this paper innovatively proposes a combined construction method of “Double-sided Wall + Bench Cut Method.” A simulation model considering three-dimensional terrain information is established to conduct a comprehensive analysis of the construction impact on the entire structure throughout the process. The results indicate that this tunnel entry method can effectively control the displacement of the surrounding rock, ensuring safe tunnel entry while accelerating the construction progress. This provides a reference and guidance for similar projects.

Pan, Gendong, Jia, Hongbo, Yang, Feng, Xu, Kai, Song, Ying, Zhang, Peng

Research on the Visibility Attenuation Model of Pavement Markings for Older Drivers Based on Retroreflective Luminance Coefficient

2025-99-0220

12/23/2025

222

Cheng, Lizhi, Guan, Yanyan, Cheng, Xinyu, Hu, Jiangbi, Fu, Youlei, Yang, Biyu, Song, Shousong

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