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Announcements for SAE Mobilus

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NEW on Mobilus: Try SAE AI Chat (Beta)
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
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Recent SAE Edge™ Research Reports

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Wing-in-Ground Effect Vehicles: From Modern Military and Commercial Development to Global Disaster ResponseEPR202501711/24/2025
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 EngineeringEPR202501609/22/2025
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 VehiclesEPR202501509/22/2025
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 RobotsEPR202501208/13/2025
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 FeaturesEPR202501308/13/2025
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 VehiclesEPR202501407/18/2025
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 IntelligenceEPR202501105/21/2025
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 MobilityEPR202500905/20/2025
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 ManagementEPR202500805/20/2025
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 LanesEPR202500704/24/2025
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
SAE International Journal of Passenger Vehicle Systems
Electrified Vehicles
SAE International Journal of Electrified Vehicles
Advances and Current Practices in Mobility
SAE International Journal of Advances and Current Practices in Mobility
Sustainable Transportation, Energy, Environment, & Policy
SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy
Connected and Automated Vehicles
SAE International Journal of Connected and Automated Vehicles
Transportation Cybersecurity and Privacy
SAE International Journal of Transportation Cybersecurity and Privacy
Vehicle Dynamics, Stability, and NVH
SAE International Journal of Vehicle Dynamics, Stability, and NVH
Transportation Safety
SAE International Journal of Transportation Safety
Alternative Powertrains
SAE International Journal of Alternative Powertrains
Commercial Vehicles
SAE International Journal of Commercial Vehicles
Engines
SAE International Journal of Engines
Materials and Manufacturing
SAE International Journal of Materials and Manufacturing
Fuels and Lubricants
SAE International Journal of Fuels and Lubricants
Aerospace
SAE International Journal of Aerospace
Passenger Cars - Mechanical Systems
SAE International Journal of Passenger Cars - Mechanical Systems

Recent Books

Browse All 718
Electrification: Vol. 3EPRCOMPV04202512/29/2025
Automated Vehicles: Development, Testing, and Validation: Vol. 4EPRCOMPV03202512/29/2025
Aerospace Developments: Vol. 7EPRCOMPV07202512/29/2025
Commercial Vehicles: Vol. 2EPRCOMPV05202512/29/2025
Safety, ADAS, and Cybersecurity: Vol. 4EPRCOMPV01202512/29/2025
Manufacturing and Industry 4.0 : Vol. 2EPRCOMPV06202512/29/2025
Infrastructure Enablers for Automation: Vol. 4EPRCOMPV02202512/29/2025
The Racing & High-Performance TireR-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 IIIR-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 ReconstructionR-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

Recently Published

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Impact of Fuel Properties and Aftertreatment Systems on Particulate Number Emissions from Euro 6 Gasoline Direct Injection Engines2026-01-500201/15/2026
This study examines the influence of gasoline fuel properties on particulate number (PN) emissions from two Euro 6 gasoline direct injection (GDI) vehicles with contrasting aftertreatment systems. One vehicle with a gasoline particulate filter (GPF) and one without GPF were selected. Eight EN 228-compliant E10 gasolines were tested on these vehicles on a chassis dynamometer. The results demonstrate the significant impact of GPFs on particulate number emissions of particles above 10 nm (PN10). The vehicle equipped with GPFs showed a dramatic reduction in PN10 emissions, exceeding an order of magnitude decrease compared to the vehicle without one. However, the presence of a GPF complicates the evaluation of fuel effects on PN10 emissions, significantly reducing the variability observed between different fuels and essentially blurring these effects on PN10 emissions. Individual PN10 emission nonlinear models were developed for both vehicles, demonstrating a good correlation between
Kroyan, Yuri, Lehto, Kalle, Risberg, Per
Axial Flux Motor Design Solutions for Loss Reduction, Cooling Enhancement, and Manufacturability Improvement2026-01-500101/15/2026
Axial flux topology motors have the advantages of high torque and power density. Their compact axial length offers design advantages to electric vehicle propulsion systems. However, three major challenges exist. First, motor efficiency needs to be competitive, as concentrated winding usually introduces more harmonics with high stator core loss and permanent magnet eddy current loss, especially at high-frequency condition. Second, thermal management of the stator and rotor is challenging due to the stator being sandwiched between the two rotors. Third, the segmented and trapezoidal-shaped stator core manufacture is difficult because it is formed by hundreds of laminations with varied sizes. To address the challenges, design solutions have been proposed and validated in this study through prototype design and optimization, simulation, and experimental evaluation. With the optimized PM partition and novel hybrid stator core design, the motor peak efficiency reaches 96.5%, while the stator
Yao, Jian, Fedida, Vincent, Duan, Chengwu, Zou, Yusheng, Keum, SeungHwan, Hu, Zhenwen
Research on Characterization Parameters of Main Bearing Wear Condition Based on Vibration Signals2026-01-500301/15/2026
This study aims to investigate the influence of torque, rotational speed, lubricating oil temperature, and main bearing clearance on the vibration signals of diesel engine block surfaces, thereby establishing a foundation for diagnosing abnormal main bearing wear conditions using engine block surface vibration signals. An experimental test bench was constructed for a six-cylinder diesel engine to collect vibration signals under varying rotational speeds, torques, lubricant temperatures, and main bearing clearances. Frequency domain analysis and wavelet packet decomposition were then performed. The frequency domain analysis results indicate that the vibration signal amplitudes associated with abnormal main bearing wear are primarily concentrated below 5 kHz. Specifically, the energy in frequency bands below 1 kHz and around 2.5 kHz tends to increase with higher rotational speed, torque, and main bearing clearance, while the overall frequency domain amplitudes decrease with rising
Dong, Yiming, Hu, Yuping, Ji, Shaobo, Pan, Chi, Yue, Yuanhang, Liao, Guoliang
A Large-Scale Characterization of PyCrash Collision Model Behavior Using Real-World Collision Data2026-01-500401/15/2026
PyCrash is an open-source collision simulation software package that includes a formulation of the Carpenter–Welcher collision model. Upon its release, PyCrash was accompanied by a companion paper that described its functions and provided preliminary validation results against staged collisions. However, the collisions investigated in the original report were limited to a single type of alignment. The purpose of this study was to characterize PyCrash collision model behavior against EDR data collected from a heterogeneous cohort of real-world two-vehicle collisions. PyCrash simulations were informed by the published vehicle geometries, crush profiles, and available pre-impact EDR data; simulation outputs were compared to EDR data, which served as the surrogate for “ground truth” with respect to the collision mechanics. Simulation settings were tuned to the specifics of each crash, based on previous published work and engineering judgement. Using optimized inputs for each crash, PyCrash
Fischer, Patrick, Cormier, Joseph, Watson, Richard
Steel, Corrosion-Resistant, Investment Castings, 16Cr - 4.1Ni - 0.28Cb - 3.2Cu, Homogenization, Solution, and Precipitation Heat Treated (H900), 180 ksi (1241 MPa) Tensile Strength (17-4)AMS5344H (Current)01/14/2026
This specification covers a corrosion-resistant steel in the form of investment castings homogenized and solution and precipitation heat treated to 180 ksi (1241 MPa) tensile strength.
AMS F Corrosion and Heat Resistant Alloys Committee
451 Guidance on the Application of Extended Reality (XR) And Supporting Technologies to Flight Training and SimulationARINC451 (Current)01/14/2026
This document offers a comprehensive and detailed guide on the application of Extended Reality (XR) technologies – including Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR) – in aviation training. It covers a wide range of topics from foundational technology and instructional design to regulatory and safety considerations, aiming to assist training organizations, regulators, and manufacturers in effectively integrating XR into pilot training for both civil and military aviation contexts.
Flight Simulator Engineering and Maintenance Committee
CONNECTORS, PLUG, ELECTRIC, 45° ASSEMBLY, CRIMP CONTACT, AN TYPEAS34091B (Current)01/14/2026
AE-8C1 Connectors Committee
Determining Absence of Unreasonable Risk: Proposed Criteria for the Evaluation of an Automated Driving System Deployment12-09-04-002601/12/2026
This article provides an overview of how the determination of absence of unreasonable risk can be operationalized. It complements previous theoretical work published by existing developers of automated driving systems (ADS) on the overall engineering practices and methodologies for readiness determination. Readiness determination is, at its core, a risk assessment process. It is aimed at evaluating the residual risk associated with a new ADS deployment. The article proposes methodological criteria to ground the readiness review process for an ADS release. Specifically, it lists 12 readiness criteria connected with system safety, cybersecurity, verification and validation, collision avoidance testing, predicted collision risks, impeded progress, rules of the road compliance, vulnerable road users interactions, high-severity assessment, conservative estimate of severity, risk management, and field safety. The criteria presented are agnostic of any specific ADS technological solution and
Favaro, Francesca Margherita, Schnelle, Scott, Fraade-Blanar, Laura, Victor, Trent, Peña, Mauricio, Webb, Nick, Broce, Holland, Paterson, Craig, Smith, Daniel
Trimmable Horizontal Stabilizer Actuator Structural Load Path Integrity Monitoring PrinciplesAIR6226A (Current)01/12/2026
This SAE Aerospace Information Report (AIR) supplies information on trimmable horizontal stabilizer actuator structural load path integrity. It describes the different methods for detecting rupture or disconnection of load paths. It also describes the monitoring principle to compare existing solutions as a reference for its implementation in new aircraft programs.
A-6B3 Electro-Mechanical Actuation Committee
Study the Tool Profile and Rotational Speed on Mechanical Attributes of FSW of Al 6063 Alloy05-19-03-002301/12/2026
Friction stir welding (FSW) of Al 6063 alloy plates of 6 mm thickness was investigated in the present study for exploring the mechanical attributes of the welded joints. The tool profile significantly influences the quality of joints produced by FSW. In the current study, the influence of tool profile and FSW process parameters on the FSW weld characteristics of similar joining of Al 6063 plates has been investigated. The effect of FSW tool rotational speed (TRS) and tool travel speed on the FSW weld properties, mainly microstructure characteristics, microhardness, and ultimate tensile strength (UTS), have been studied. Comparison of two different tool profiles, namely taper and cylindrical tool, has also been examined. The effect of transient temperature distribution has also been studied for varying FSW process parameters. When increasing the tool’s rotational speed from 800 to 1200 rpm at a fixed traverse speed of 80 mm/min, a rise in peak temperature is observed. Conversely
Kumar, Pramod, Kumar, Vikash, Kumar, Gulshan, Arif, Abdul, Prasad, Chitturi Ram, Zubairuddin, M.
TERMINAL JUNCTION SYSTEM, TERMINAL JUNCTION BLOCKS, SECTIONAL, BUSSING MODULES, FEEDBACK TYPE, SIZE 22D, SERIES IAS81714/17C (Current)01/12/2026
AE-8C2 Terminating Devices and Tooling Committee
CONNECTOR ACCESSORIES, ELECTRICAL, STRAIN RELIEF, NON-ENVIRONMENTAL, SELF-LOCKING AND NON-SELF-LOCKING, 45°, CATEGORY 4B (FOR MIL-DTL-5015 CRIMP, MIL-DTL-26482 SERIES 2, AS81703 SERIES 3, AND MIL-DTL-83723 SERIES III CONNECTORS)AS85049/43C (Current)01/12/2026
AE-8C1 Connectors Committee
HOSE ASSEMBLY, POLYTETRAFLUOROETHYLENE CRES BRAID REINFORCED, 400 °F, 5080 PSI FLARELESS, 90° ELBOW TO 90° ELBOWAS5966C (Current)01/12/2026
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
Automotive Refrigerant Recovery/Recycling/Recharging Equipment Intended for Use with Both R-1234yf and R-134aJ3030_202512 (Current)01/12/2026
The purpose of this SAE Standard is to establish the specific minimum equipment requirements for recovery/recycling/recharge equipment intended for use with both R-1234yf and R-134a in a common refrigerant circuit that has been directly removed from, and is intended for reuse in, mobile air-conditioning (A/C) systems. This document does not apply to equipment used for R-1234yf and R-134a having a common enclosure with separate circuits for each refrigerant, although some amount of separate circuitry for each refrigerant could be used.
Interior Climate Control Service Committee
CLAMP, LOOP TYPE, CUSHIONED SUPPORTAS21919D (Current)01/12/2026
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
CONNECTOR ACCESSORIES, ELECTRICAL, BACKSHELL, REPOSITIONABLE TO STRAIGHT, 45° AND 90°, ENVIRONMENTAL, CABLE SEALING, SHIELD TERMINATION, CATEGORY 1A, (FOR MIL-DTL-83723 SERIES III, AS50151 CRIMP, AS81703 SERIES 3, MIL-DTL-26482 SERIES 2, AND AS95234 CONNECTORS)AS85049/150B (Current)01/12/2026
AE-8C1 Connectors Committee
Automatic Transmissions - Schematic DiagramsJ647_202512 (Current)01/11/2026
The following schematic diagrams reflect various methods of illustrating automotive transmission arrangements. These have been developed to facilitate a clear understanding of the functional interrelations of the gearing, clutches, hydrodynamic drive unit, and other transmission components. Two variations of transmission diagrams are used: in neutral (clutches not applied) and in gear. For illustrative purposes, some typical transmissions are shown.
Automatic Transmission and Transaxle Committee
Comparison of Vortex Identification Methods in Highly Separated Base Wakes15-19-01-000201/10/2026
In this work, the complex wake flow from a double-slanted Ahmed body with an upper slant of α = 25° and a standard single-slanted Ahmed body with a slant angle of 40° were used to evaluate vortex identification methods for automotive wake flows. Multiple three-dimensional (3D) vortex identification methods including Q−, λ 2−, Ω− criteria, and Liutex method and the two-dimensional (2D) Γ1− criterion were evaluated against the streamline topology as a pseudo-truth model. Of the 3D methods analyzed, none were found to produce wholly satisfactory results. The Q− and λ 2−criteria were plagued by high threshold sensitivity and a failure to separate shear from rotation which led to inconsistent identification of the weak, lower-rotation vortices. While the Ω−criterion was able to mitigate the issues related to threshold sensitivity and separation of shear and rotation by consistently identifying the weak vortices, the identified structure did not align well with the streamline topology
Aultman, Matthew, Duan, Lian
Risk-Aware Navigation Framework for Autonomous and Human-Driven Vehicles: Integrating Crash Probability Data for Safer Mobility12-09-03-001901/09/2026
This article presents a system to incorporate crash risk into navigation routing algorithms, enabling safety-aware path optimization for autonomous and human-driven vehicles alike. Current navigation systems optimize travel time or distance, while our approach adds crash probability as a routing criterion, allowing users to balance efficiency with safety. We transform disparate data sources, including traffic counts, crash reports, and road network data, into standardized risk metrics. Because traffic volume data only exist for a small subset of road segments, we develop a solution to project average daily traffic estimates to an entire road inventory using machine learning, achieving sufficient coverage for practical implementation. The framework computes exposure-normalized crash rates weighted by severity and integrates these metrics into routing cost functions compatible with existing navigation algorithms. The key strength of our solution is its scalability. In addition to the
Skaug, Lars, Nojoumian, Mehrdad
Hose Assembly, Polytetrafluoroethylene, Metallic Reinforced, 3000 psi, 400 °F, Lightweight, Hydraulic and Pneumatic (Supplement 1)AS1339SUP1A (Current)01/08/2026
This supplement forms a part of the Aerospace Standard AS1339, Hose Assembly, Polytetrafluoroethylene, Metallic Reinforced, 3000 psi, 400°F, Lightweight, Hydraulic and Pneumatic, and shall be used to identify hose assembly standards citing this procurement specification.
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
SAE TOMORROW TODAY - How AI and Software-Defined Vehicles Are Transforming Automotive Culture1355001/08/2026
The automotive industry is undergoing a major shift -- not just toward AI-powered, software-defined vehicles, but also toward a new culture that challenges traditional ways of working. Listen in as we sit down with Amol Gulve, Software-Defined Vehicle and AI Expert, for a candid discussion on why the pace of innovation is both exhilarating and challenging for legacy automakers. Amol breaks down the traditional seven-year vehicle development cycle and why it's incompatible with an AI-driven world, challenging OEMs to rethink everything from architecture and procurement to culture and org structure. From the future of AI in vehicles to the cultural shifts inside OEMs, you'll get an inside look at the questions defining the next decade of mobility -- and why trust, transparency, and smarter standards will shape the road ahead. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE
Patterson, Lori
Color-Coded Incandescent Flange Base T-1 and T-1 3/4 Lamps for Voltage IdentificationAS4156D (Current)01/08/2026
This document specifies that black is the only color that can be used for the insulator at the bottom of the base of T-1 and T-1 ¾ Flanged Base lamps.
A-20A Crew Station Lighting
Architecting ATA 28 with Model-Based Systems Engineering: Center of Gravity Balance and System Performance01-18-03-001501/07/2026
The fuel management system for a fixed-wing aircraft has been developed and explored with the model-based systems engineering (MBSE) methodology for maintaining the center of gravity (CoG) and analyzing flight safety. The system incorporates high-level modeling abstractions that exploit a mix of behaviors and physical detail resembling real-world components. This approach enables analysis for a multitude of system requirements, verification, and failure scenarios at high simulation speed, which is necessary during system definition. Initially, the CoG is maintained by directly accessing the flight deck valves and pumps in both wings and controlling them through the bang-bang control law. In the refinement phase of the fuel system controller, the manual and individual controls of the valves and pumps are replaced with an autonomous fuel transfer scheme. The autonomous scheme achieves no more than a 20 kg difference in fuel between the wings during normal conditions. In the event of
Zaidi, Yaseen, Michalek, Ota
A Study on Combustion Process in Hydrogen/Hydrotreated Vegetable Oil Dual-Fuel Operation Using Hydroxyl Radical Chemiluminescence03-18-08-005001/07/2026
This study investigated the combustion processes in hydrogen dual-fuel operation using hydrotreated vegetable oil (HVO) and diesel fuel as pilot fuels. The visualizations of hydrogen dual-fuel combustion processes were conducted using hydroxyl radical (OH*) chemiluminescence imaging in an optically accessible rapid compression and expansion machine (RCEM), which can simulate a compression and expansion stroke of a diesel engine. Pilot injection pressures of 40 and 80 MPa and injection quantities of 3, 6 mm3 for diesel fuel and to match the injected energy, 3.14, 6.27 mm3 of HVO were tested. The total excess air ratio was kept constant at 3.0. The RCEM was operated at a constant speed of 900 rpm, with in-cylinder pressure at top dead center (TDC) set to approximately 5.0 MPa. Results demonstrated that using HVO as pilot fuel, compared to diesel fuel, led to shorter ignition delay and combustion duration. OH* chemiluminescence imaging revealed that longer ignition delays observed with
Mukhtar, Ghazian Amin, Une, Naoto, Horibe, Naoto, Hayashi, Jun, Kawanabe, Hiroshi, Hiraoka, Kenji, Koda, Kazuyuki
Weaving Data Fabric with AITBMG-5443001/06/2026
One of the biggest goals for companies in the field of artificial intelligence (AI) is developing “agentic” systems. These metaphorical agents can perform tasks without a guiding human hand. This parallels the goals of the emerging urban air mobility industry, which hopes to bring autonomous flying vehicles to cities around the world. One company wants to do both and got a head start with some help from NASA.