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Article Titles: - Dynamic Game Theoretic Electric Vehicle Decision Making - Digital Twin-based Remaining Driving Range Prediction for Connected Electric Vehicles - Design and Implementation of Adaptive and Artificial Intelligence Controller for Brushless Motor Drive Electric Vehicle - Automated Expert Knowledge-based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management - Driving Cycle-Based Energy Management Strategy Development for Range-Extended Electric Vehicles - Multi-Objective Optimization of Vehicle Following Control for Connected Electric Vehicles Based on Deep Deterministic Policy Gradient - Speedy Hierarchical Eco-Planning for Connected Multi-Stack Fuel Cell Vehicles via Health-Conscious Decentralized Convex Optimization - Energy-Efficient Dispatching of Battery Electric Truck Fleets with Backhauls and Time Windows - An Energy-Efficient Merge-Aware Cruise Control Method for Connected Electric Vehicles Volume 13, Issue 1, 2024 All articles in this focus issue have been carefully selected to highlight new theories, methods, algorithms, testing platforms, implementation, and evaluation of eco-driving of connected electrified vehicles in intelligent transportation systems.

Article Titles: - Classification of Roadway Infrastructure and Collaborative Automated Driving System - A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor - A Tutorial on V2I Communication: Evaluating the LTE-V2X for Day-1 V2I and V2V Integration in Congested Scenarios - Using Radio Technical Commission for Maritime Services Corrections in a Consumer-Grade Lane-Level Positioning System for Connected Vehicles - Localization in Global Positioning System–Denied Environments Using Infrastructure-Embedded Analog-Digital Information - A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything Volume 6, Issue 4, 2023 All the papers in this special issue provide a cross section mix of applied research, innovative applications, and best practices that should be of interest to both academic and industry communities working on realizing the vision of widespread V2X infrastructure deployment.

Volume 4, Issue 2, 2023 All the papers in this special issue are curated from a selection of peer-reviewed articles from the “8th International Symposium on Hydrogen Energy, Renewable Energy, and Materials (HEREM 2022),” showcasing the depth and breadth of research that was presented during the event. Special Issue Co-Editors: Ronghui Zhang, Sun Yat-sen University, China Mohan Lal Kolhe, University of Agder, Norway The SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy is a peer-reviewed journal that provides a forum for the exchange of novel, innovative, and transdisciplinary ideas on incorporating and enhancing sustainability from environmental, energy, engineering, public policy, social, and economic perspectives over the entire life cycle of automobiles, aircrafts, and other transportation systems that span across diverse landscapes.

Volume 16, Issue 3, 2023 All the papers in this special issue relate to topics ranging from case studies on small UAS (sUAS) near midair collisions with aircraft, review of simulation fidelity for autonomous vehicles, assured aerial autonomy, novel geometry for tangential omnidirectional flight, and flight dynamics modeling—to prognostics in autonomous aircraft operations. Special Issue Editors: Andy Wallington, The Boeing Company Chris Johnson, University of Wisconsin-Madison George Romanski, Federal Aviation Administration Parimal (PK) Kopardekar, NASA The SAE International Journal of Aerospace is the preeminent source for peer-reviewed, cutting-edge engineering research within the aerospace industry. The Journal is an essential resource for anyone in industry, academia, government, and research organizations trying to understand the latest progress in aerospace engineering.

Volume 7, Issue 3, 2023 All of the papers in this special issue focus on ideas and recent results in modern vehicle dynamics control systems supported by advanced functionalities of assisted and automated driving. Recognizing the constant emergence of new ideas in the field and addressing the latest relevant trends, this special issue presents a number of contributions from academic and industrial organizations. Special Issue Co-Editors: Valentin Ivanov, Technische Universität Ilmenau, Germany Dzmitry Savitski, Volkswagen AG Wolfsburg, Germany The SAE International Journal of Vehicle Dynamics, Stability, and NVH is a scholarly publication dedicated to publishing papers focused on vehicle dynamics, stability, noise, vibration, and harshness (NVH). This platform provides researchers, engineers, and academicians an avenue to present their advanced theoretical and experimental work for developing quieter, more comfortable, and dynamically superior vehicles.

Volume 11, Issue 2, 2023 SAE International is pleased to provide this special issue that is not peer reviewed as a supplemental addition to the regular volume year, supporting these student authors. Please note that this supplemental issue may not appear annually. The journal currently publishes only two regular issues per year. The goal of this special issue is to bring together student research focused on advancing knowledge in injury biomechanics from a wide range of topics in the areas of sports, military, car crashes, and diverse populations. The twelve manuscripts in this special issue were previously presented at the 18th Annual Injury Biomechanics Symposium hosted by the Ohio State University.

The deployment of automated vehicles (AVs)—especially driverless cars—has fallen significantly short of expectations. Some specific use cases possess momentum; however, production numbers generally appear to be more hopeful than realistic. Even before the COVID-19 pandemic, automated freight applications gained greater traction. For the most part, currently deployed freight-focused AVs are limited to narrowly defined operational design domains (ODDs) and may require human intervention to exit a highway or interact with law enforcement officers and weigh stations. Remaining business cases are often built around the so-called structural AVs—or AVs that operate in relatively constrained environments. In these scenarios, a narrow use case may support an investor’s requirements; however, this is not the case for infrastructure owners and operators (IOOs).

This title includes the technical papers developed for the 2022 Stapp Car Crash Conference, the premier forum for the presentation of research in impact biomechanics, human injury tolerance, and related fields, advancing the knowledge of land-vehicle crash injury protection. The conference provides an opportunity to participate in open discussion about the causes and mechanisms of injury, experimental methods and tools for use in impact biomechanics research, and the development of new concepts for reducing injuries and fatalities in automobile crashes.

Volume 16, Issue 2, 2023 All articles of this special issue address the recent developments in LTC strategies, fuel alternatives for LTC modes and combustion control approaches to obtain high thermal efficiency. Special Issue Co-Editors: Dr. Hamit Solmaz, Gazi University Dr. Seyfi Polat, Hitit University The SAE International Journal of Fuels and Lubricants is a leading international scholarly journal providing reports of research with focus on fuels and lubricants in automotive engineering. The journal aims to be the primary source of information for comprehensive and innovative research in the areas of fuels, lubricants, additives, and catalysts, by providing a peer-reviewed platform for academicians, scientists, and industrial researchers to present their work. Due to the global impacts of CO2 and harmful effects of exhaust pollutants of on road vehicles, emission regulations are getting stricter.

Volume 6, Issue 1, 2023 All of the papers in this special issue aim to discuss emerging simulation methodologies and tools that can be applied by industry, government, and academia, to study ADS performance and impact on overall traffic systems. Special Issue Co-Editors Ziran Wang, Purdue University, USA Guoyuan Wu, University of California, Riverside, USA Jiaqi Ma, University of California, Los Angeles, USA Yiheng Feng, Purdue University, USA Hao Liu, University of California, Berkeley, USA Chris Schwarz, University of Iowa, USA The SAE International Journal of Connected and Automated Vehicles furthers state-of-the-art engineering research by publishing peer-reviewed scientific articles that showcase strong theoretical and empirical contributions and findings to the body of engineering knowledge surrounding various facets of the lifecycle treatment of connected and automated vehicles with an emphasis on the system perspective.

Article Titles: - Combined Effect of Start of Direct Injection Timing and Fuel Temperature on Combustion and Pollutant Emissions of a Reactivity Controlled Compression Ignition Operated Single-Cylinder Diesel Engine - Closed-Loop Predictive Control of a Multi-Mode Engine Including Homogeneous Charge Compression Ignition, Partially Premixed Charge Compression Ignition and Reactivity Controlled Compression Ignition Modes - Resolving the Combustion Zones of Bio-hybrid Fuels in Reactivity Controlled Compression Ignition Combustion Using Tracer-Activated Luminescence Imaging - Improving the Performance of Internal Combustion Engines and Reducing Emissions by Injecting Water with the Air Entering the Engines - Diesel-Range Fuel Property Effects on Medium-Duty Advanced Compression Ignition for Low-Load NOX Reduction Volume 16, Issue 1, 2023 All articles of this special issue address the recent developments in LTC strategies, fuel alternatives for LTC modes and combustion control approaches to obtain high thermal efficiency.

Article Titles: - Physics-Based Simulation solutions for Testing Performance of Sensors and Perception Algorithm under Adverse Weather Conditions - Co-Simulation Platform for Modeling and Evaluating Connected and Automated Vehicles and Human Behavior in Mixed Traffic - Real-Sim Interface: Enabling Multi-resolution Simulation and X-in-the-loop Development for Connected and Automated Vehicles - Safety Analysis of Mixed Automated and Conventional Traffic Flows Utilizing a Submicroscopic Simulation Framework - Drive Right: Autonomous Vehicle Education through an Integrated Simulation Platform - Dynamic Vehicle-in-the-Loop: A Novel Method for Testing Automated Driving Functions - Toward an Automated Scenario-Based X-in-the-Loop Testing Framework for Connected and Automated Vehicles Volume 5, Issue 4, 2022 All of the papers in this special issue aim to discuss emerging simulation methodologies and tools that can be applied by industry, government, and academia, to study ADS performance and impact on overall traffic systems.

Article Titles: - Model Following Damping Force Control for Vehicle Body Motion during Transient Cornering - Experimental Assessment of a Controlled Slippage Magnetorheological Automotive Active Suspension for Ride Comfort - Road Preview Control for Active Suspension System - Enhancing Ride Comfort and Stability of a Large Van Using an Improved Semi-active Stability Augmentation System - Initial Pitch Control for Semi-active Suspension System - Effect of Optimal Fuzzy Models for Pneumatic Magnetorheological Suspension System on Ride Performance under Different Conditions - Investigation of Vehicle Stability by Integration of Active Suspension, Torque Vectoring, and Direct Yaw Control - Simulation Analysis of Automatic Emergency Braking System under Constant Steer Conditions - Hardware-in-the-Loop Testing of a Hybrid Brake-by-Wire System for Electric Vehicles Volume 6, Issue 4, 2022 All of the papers in this special issue focus on state of the art and new challenges in Vehicle Motion Control (VMC) to advance the Autonomous Vehicle Control (AVC), as well as the Autonomous Vehicles industry.

Article Titles: - Human Head and Neck Kinematics during Autonomous and Human Braking in Three Initial Head Positions - Muscle Activation Affects Kinematic Response and Injury Risk in Non-Traditional Oblique Impact Scenarios Assessed with a Head and Neck Finite Element Model - Crash Pulse Prediction Using Regression Algorithm with Gradient Descent Optimization Method for Integrated Safety Systems - Generic Crash Pulses Representing Future Accident Scenarios of Highly Automated Vehicles - Supplementing Future Occupant Safety Assessments with Severe Intersection Crashes Selected Using the SAFER Human Body Model - Effects of Seatback Recline and Belt Restraint Type on PMHS Responses and Injuries in Rear-Facing Frontal Impacts - Biofidelity Evaluation of THOR-50M in Rear-Facing Seating Configurations Using an Updated Biofidelity Ranking System - Numerical Investigation of the Performance of Current Vehicle Rear Seats using Finite Element Analysis - Evaluation and Comparison of Thoracic Injury Risk for the Hybrid III and THOR 50th-Percentile Male Anthropomorphic Test Devices in the Rear Seat during Frontal Impacts - Submarining Protection for 50th-Percentile Male Anthropomorphic Test Devices in the Rear Seat during Frontal Crash Sled Tests - Understanding the Influence of Seat Belt Geometries on Belt-to-Pelvis Angle Can Help Prevent Submarining Volume 10, Issue 2, 2022 All of the papers in this special issue bring together research focused on the ADS-equipped vehicle seating and crash environment that could assist in improving the safety tools to ensure better occupant protection and crashworthiness in these vehicles under a variety of loading conditions.

Article Titles: - Editorial: Reducing Daily Exposure to Mobile Source Air Toxics by Improving Vehicle Cabin Air Quality - Real-Driving Measurement of Vehicle Interior Air Quality and Cabin Air Filtering Performance by Using Low-Cost Sensors - Computational Fluid Dynamics Simulation of Inter-Vehicle Ventilation Systems: A New Design Approach - Providing a Controllable Lab Test Environment for Assessing the Performance of Vehicle Cabin Air Purification Systems by Determining the Air Quality Regarding PM2.5 and CO2 - Flow Visualisation and Particle Dispersion Measurements Inside an Ambulance Rear Saloon while Stationary and in Motion - Improved Vehicle Cabin Air Quality by Control of Air Recirculation Using Spatiotemporally Resolved Interactive Air Quality Map - Evaluating Repeatability and Reproducibility of CEN Workshop Real Driving Cabin Air Quality Testing Method All articles in this special issue provide insights into all aspects of vehicle cabin air quality research: cabin air quality of vehicles, development of vehicle cabin air quality test methods, development and testing of cabin filters, development and testing of new devices to measure or reduce pollutants in the vehicle cabin, VOC emissions in the vehicle cabin, self-pollution of vehicles.

Volume 15, Issue 2, 2022 All articles in this special issue have been carefully selected to cover critical aspects of artificial intelligence, machine learning, and deep learning in aerospace. Special Issue Editors: Dnyanesh Rajpathak, General Motors, USA Mark Roboff, SKYTHREAD, USA Huafeng Yu, Research & Technology, Boeing, USA Gautam Biswas, Vanderbilt University, USA The SAE International Journal of Aerospace is the preeminent source for peer-reviewed, cutting-edge engineering research within the aerospace industry. The journal is an essential resource for anyone in academia, industry, or government seeking the latest studies and technology in aerospace engineering. All articles in the special issue contribute to the trends in AI research. Authors have been invited from different sectors to publish research contributions toward new algorithms, techniques, developments, and/or applications of AI methods in aerospace.

Article Titles: - A Decentralized Multi-Agent Energy Management Strategy Based on a Look-Ahead Reinforcement Learning Approach - Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning - Multi-objective Optimization for Connected and Automated Vehicles Using Machine Learning and Model Predictive Control - A Neural Network-Based Regression Study for a Hybrid Battery Thermal Management System under Fast Charging - A Method for the Estimation of Cooling System and Driving Performance for Fuel Cell Vehicles Based on Customer Fleet Data - Robust Data-Driven Battery State of Charge Estimation for Hybrid Electric Vehicles - A Novel Fitting Method of Electrochemical Impedance Spectroscopy for Lithium-Ion Batteries Based on Random Mutation Differential Evolution Algorithm Volume 11, Issue 2, 2022 All articles in this special issue have been carefully selected to cover new development and research in advanced learning and data analytics for electrified vehicles, covering EMS, BMS, alternative powertrain modeling, simulation, and experimental demonstration, among other topics.

Article Titles: -Motion Sickness in Automated Vehicles: Principal Research Questions and the Need for Common Protocols -What Can User Typologies Tell Us about Carsickness Criticality in Future Mobility Systems -Analysis for Comfortable Handling and Motion Sickness Minimization in Autonomous Vehicles Using Ergonomic Path Planning with Cost Function Evaluation -Optimizing Maneuver Length for Autonomous Obstacle Avoidance Maneuver with Considerations for Controllability and Passenger Comfort on Low Friction Surfaces -Event-Triggered H∞ Controller for a Semi-active Seat Suspension to Enhance Motion Comfort of Automated Vehicles -A K-Seat-Based PID Controller for Active Seat Suspension to Enhance Motion Comfort Volume 5, Issue 2, 2022 All articles in this special issue have been carefully selected to investigate fundamental questions regarding the factors affecting motion comfort and potential solutions toward the mitigation of motion sickness and the enhancement of comfort.