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A Novel Admission Scheme for Connection-Less IoT Devices2026-01-0166To be published on 04/07/2026
This paper introduces a novel framework for enabling ultra-low latency, connectionless communication among IoT devices, particularly in emergency and non-emergency scenarios where traditional network connectivity is unavailable or delayed. The system leverages a Layer 2 IoT protocol exempt from admission control, allowing devices to discover and access services based on contextual awareness—such as location, time, and urgency—without requiring prior network association. Key innovations include pre-association service discovery, dynamic admission classification, and a connectionless service model that enables IoT devices to transmit critical data through nearby facilitator devices (e.g., vehicles) to emergency call services. A machine learning-based proximity estimation engine ranks closed devices based on their functional capabilities, mobility, and historical performance, ensuring optimal service delivery. The system architecture also features a classification manager for zone-based
Giusto, Paolo, Chmeiseh, Mustafa H., Sergakis, John, Neishaboori, Azin, Thanayankizil, Lakshmi, Fernandes, Richard, Vemuri, Vikas
ML FMEA in Action: Lessons from Applications of Machine Learning Safety2026-01-0079To be published on 04/07/2026
Introducing machine learning (ML) into safety-critical systems presents a fundamental challenge, as traditional safety analysis techniques often struggle to capture the dynamic, data-driven, and non-deterministic behavior of learning-enabled components. To address this gap, the Machine Learning Failure Mode and Effects Analysis (ML FMEA) methodology was developed as an open-source framework tailored to ML-specific risks. This paper reports on the maturation of ML FMEA from an initial conceptual framework to a proven, practice-driven methodology. We make four primary contributions. First, we extend the ML FMEA pipeline with two new stages: a “Step Zero” for problem definition and system-level hazard analysis, and a “Step 5” for constructing ground truth or reward signals. Autonomous vehicle and humanoid robot applications are presented to illustrate the practical application and safety benefits of these additions. Second, we introduce tailored Severity, Occurrence, and Detection
Schmitt, Paul, Ward, David, Shinde, Chaitanya, Chalana, Akshay, Pennar, Krzysztof, Wagner, Michael, Poh, Justin, Seifert, Bodo, Mohammed, Majed, Lopez, Jerry, Wadhvana, Neil, Mannan, Fahim, Diemert, Simon
Vehicle Development and Testing - Data-driven Method to Reduce Error of the Simulation’s Control Response of the Real Vehicle2026-01-0058To be published on 04/07/2026
With the steady increase of autonomous vehicles numbers and advanced driver-assistance system features aimed at improving road safety, simulation tools have become a critical part of the development process, enabling systems to be tested without risking property damage or bodily harm in the event of failure. Physics-based simulators are central to virtual vehicle development, yet their control responses often differ from real vehicles, limiting the transfer of controllers developed in simulation. As these simulations play a larger role in the vehicle design and validation process, a critical question is how well their predicted behavior translates to real-world physical systems becomes a factor. This paper presents a calibration framework for an autonomous car platform that identifies and mitigates the residual error between simulated and real control responses. First, the error is quantified by issuing identical commands to a real vehicle and the simulated vehicle by monitoring
Soloiu, Valentin, Sutton, Timothy, Mehrzed, Shaen, Lange, Robin, Zimmerman, Charles, Peralta Lopez, Guillermo
Development and Validation of a Self-Propelled Trailer: A Standards-Based Approach to Enhancing Compact Vehicle Towing2026-01-0055To be published on 04/07/2026
This paper presents a structured test plan for the development and validation of a Self-Propelled Trailer, an emerging concept designed to enhance the towing capacity of compact, fuel-efficient vehicles. Unlike conventional trailers, the proposed system integrates a drivetrain in the trailer, which could consist of either electric propulsion or some other type of power source. It also includes sensing capabilities in the trailer hitch to determine what the effort provided by the towing vehicle is, along with a control system to use this data to appropriately modulate the power provided by the trailer. This autonomous system will actively assist the towing vehicle, reducing engine load and improving fuel economy. Safety, however, is a critical factor in a successful design for such a system, and appropriate testing needs to be planned and carried out as the system is developed. The methodology to do so employs a Design Failure Mode and Effects Analysis (DFMEA) to systematically identify
Reilly, Carter, Peters, Diane, Zadeh, Mehrdad
Driver response times to turn-in-path events from real world responses in SHRP-2 data2026-01-0545To be published on 04/07/2026
This study analyses of driver behavior in Turn-In-Path (TIP) scenarios using the Second Strategic Highway Research Program (SHRP2) naturalistic driving dataset. A total of 259 real-world incidents, including both crashes and near-crashes, were examined to evaluate human driver perception-response times (PRT) and avoidance behaviors when another vehicle (the principal other vehicle, or POV) turns into the path of a straight-moving subject vehicle (SV). The combined analysis includes TIP events involving POVs turning from intersecting roads to either cross or merge into the SV’s lane. Each event was reviewed to identify the triggering threshold that prompted an emergency response, with measurements taken from video and telematics data. Response time was measured across two different starting points. Key variables included time to conflict, POV behavior (e.g., stopped vs. rolling), SV driver engagement in secondary tasks, and environmental factors such as lighting and roadway geometry
Dinakar, Swaroop, Muttart, Jeffrey, Maloney, Timothy, Adhikari, Bikram
Bias and uncertainty in the time, position, and speed data of consumer-grade GPS devices2026-01-0544To be published on 04/07/2026
The goal of this study is to quantify the accuracy and uncertainty of position and speed measurements acquired by a wide range of consumer-grade GPS-enabled devices while road cycling. We acquired position and speed data simultaneously from 13 consumer devices (e.g., phones, watches, bicycle computers) at their maximum sampling rate (typically 1 Hz) during 10 hours (thirty 20 minute sessions) and 150 km of road cycling in a suburban environment. The position data from these devices were compared to real-time kinematic (RTK) data acquired using a differential GPS system and the speed data from these devices were compared to speed data acquired with high-resolution wheel rotation sensors (23,040 pulses per revolution) synchronized with the RTK data. Based on these comparisons, we generated probability distributions for the errors in the position and speed measured by each of the consumer devices. This study provides foundational data needed to quantify the accuracy and uncertainty across
Booth, Gabrielle R., Mitchell, Alan L., Siegmund, Gunter P.
Sideswipe Impact Analysis Methodology Compared to Crash Testing with Anthropomorphic Test Device2026-01-0532To be published on 04/07/2026
Vehicle-to-vehicle sideswipe collisions are unique in their impact characteristics because the vehicles typically do not reach a common velocity at impact. To better understand the characteristics and dynamics of a sideswipe collision, vehicle-to-vehicle crash testing was performed to find the relationships between variables related to the impact, such as closing speed, relative angle, and overlap depth. This paper discusses data collected for three sideswipe (oblique) impact tests conducted at a testing facility in Buffalo, New York. The tests were conducted using a passenger vehicle as the sideswiping vehicle, which impacted a stationary cargo van. The passenger vehicle was towed into the van at relative angles ranging from 8 to 15 degrees and at velocities of 5 to 20 mph. Two different (but identical) passenger cars and two cargo vans were used during the testing series. Test results were then utilized to investigate a methodology of analyzing sideswipe collisions as a combination
Danaher, David, McDonough, Sean, Donaldson, Andrew, Neale, William, Cochran, Reece
Determining Video Frame Capture Rate through Reverse Engineering2026-01-0543To be published on 04/07/2026
The timing of video recordings, along with the spatial positioning of objects, is a fundamental parameter for calculating the speed time history. If the task involves determining an object’s average speed over several to a dozen frames, the average inter-frame interval can be used as the basic time unit. However, if the objective is to compute speed from individual frames, the reliability of the timing becomes crucial. Without access to DVR hardware documentation, proprietary algorithms, or software – and considering the frequent hardware modifications and software updates - the most effective way to solve the problem is through a reverse-engineering approach. This study discusses several aspects of timing analysis, including: (1) making a test recording of a calibrated LED lightboard; (2) analyzing the relationship between the lightboard time and the presentation time stamp (pts) extracted from the file metadata; (3) investigating frequency interference occurring when recordings are
Wach, Wojciech
Accurate simulation of Sealing process using a GPU-accelerated Lagrangian differencing dynamics method2026-01-0492To be published on 04/07/2026
A vehicle body consists of many parts, between which there are seams and gaps that water, dust, and noise can enter. To prevent corrosion and reduce noise, these gaps are sealed with a paste featuring complex non-Newtonian properties. Sealing also serves a cosmetic function for visible areas, which demands high quality for better customer satisfaction. Usually, seam length can reach several meters with a height of 0.5-5 mm and a width of 5-40 mm. In this situation, optimizing the robotic paths and sealant flow can speed up production and reduce costs. Accurate and fast CFD modeling helps with planning the sealing process, shortening vehicle development cycles and minimizing costs. Due to the complexity of vehicle body geometry, arbitrary robotic movements, sealing seam length, free surface, and the complex rheological material properties, traditional CFD simulations have difficulties in modelling this process. This paper presents a new framework for modelling the sealing processes
Panov, Dmitrii Olegovich, Zhu, Huaxiang, Basic, Josip, Zhang, Lingran, Kotian, Akhilesh, Menon, Muraleekrishnan, Borra, Ravi Kanth, Ando, Yuya
The Effect of Tread Depth on Antilock-Brake System (ABS)-Equipped Decelerations for Dry and Wet Asphalt and Concrete Road Surfaces2026-01-0549To be published on 04/07/2026
The effect of tire tread depth on the performance of anti-lock brake systems (ABS) in newer vehicles is not well studied. A single ABS-equipped SUV was used to perform a series of 216 ABS-engaged braking tests on dry and wet asphalt and concrete surfaces using uniform sets of tires with tread depths varying from 0.8 mm (1/32”) to 7.1 mm (9/32”). Vehicle speed and deceleration as a function of time were calculated from 5th-wheel data sampled at 200 Hz. Tests were initially conducted on a dry surface, with tire sets changed between tests. A water truck then distributed water onto the road to create a wet condition and additional tests of each tire set were conducted. Deceleration levels did not change significantly from 7.1 mm (9/32”) down to 2.4 mm (3/32”) of remaining tread on both surfaces in both conditions. Compared to the deceleration levels at these larger tread depths, dry deceleration levels increased for tread depths of about 0.8 mm (1/32”) and 1.8 mm (2/32”) on both asphalt
Miller, Ian, King, David, Siegmund, Gunter P.
Analysis of the biofidelity of aPLI under low-speed collision conditions2026-01-0551To be published on 04/07/2026
Abstract: With the increasing popularity of automotive active safety systems, the probability of collisions between vehicles and pedestrians has gradually decreased. Among them, the AEB system, as an important part of active safety systems, can actively intervene to avoid collisions in advance. However, in actual road traffic conditions, there are still situations where the AEB system cannot completely avoid collision accidents, and the impact speed between pedestrians and vehicles may drop to below 40 kph. However, the aPLI legform impactor, which is widely used in pedestrian protection evaluations in various regions, has a standard impact speed of 40 kph in the test procedure. The response of the aPLI to low-speed collisions and the resulting pedestrian leg injuries is still unclear. Based on finite element simulation, this study compared the kinematic responses and injury responses of the aPLI impactor with human body models (THUMS and GHBMC) under 5 different speeds (20kph, 25kph
Sun, Bowen, YE, BIN, LONG, YONGCHENG, Zhan, Zhenfei, shi, Xinxin, jun, yin
Collision Avoidance Testing of the Waymo Automated Driving System2026-01-0519To be published on 04/07/2026
This paper describes Waymo's Collision Avoidance Testing (CAT) methodology: a scenario-based testing method that evaluates the safety of the Waymo Driver Automated Driving Systems' (ADS) intended functionality in conflict situations initiated by other road users that require urgent evasive maneuvers. Because SAE Level 4 ADS are responsible for the dynamic driving task (DDT), when engaged, without immediate human intervention, evaluating a Level 4 ADS using scenario-based testing is difficult due to the potentially infinite number of operational scenarios in which hazardous situations may unfold. To that end, in this paper we first describe the safety test objectives for the CAT methodology, including the collision and serious injury metrics and the reference behavior model representing a non-impaired eyes on conflict human driver used to form an acceptance criterion. Afterward, we introduce the process for identifying potentially hazardous situations from a combination of human data
Kusano, Kristofer, Beatty, Kurt, Schnelle, Scott, Favaro, Francesca, Crary, Cam, Victor, Trent
Benchmarking Driver Responses in Head-On Conflicts: Toward an Objective Protocol for Human and AV Evaluation2026-01-0534To be published on 04/07/2026
Head-on emergency conflicts present a unique challenge for evaluating driver and automated vehicle (AV) performance. Unlike most emergency scenarios that follow a direct stimulus–response sequence, head-on encounters are characterized by a stimulus–wait–response pattern in which time to contact (TTC) strongly shapes driver behavior. Drawing on naturalistic and simulator data, this study quantified human responses to head-on conflicts. When the opposing vehicle crossed the centerline with more than 2 seconds of TTC, drivers delayed braking until an average of 1.3 seconds (SD = 0.8) before impact, regardless of the timing of the intrusion. By contrast, when TTC was less than 2 seconds, braking was initiated only 0 to 1.0 second before impact. As a result, many drivers applied the brakes less than half a second before collision. These findings provide a meta-analytically grounded benchmark for comparing human behavior to AV decision-making processes and demonstrate the need for conflict
Muttart, Jeffrey, Dinakar, Swaroop, Maloney, Tim, Adikhari, Bikram, Gernhard-Macha, Suntasty
Forensic Acquisition and Analysis of Unsupported Lexus Infotainment Modules via CMD42 Bypass and Data Carving2026-01-0540To be published on 04/07/2026
Crashes involving passenger vehicles increasingly include models equipped with infotainment modules that are unsupported by commercial vehicle system forensics hardware and software. Examiners facing these systems must overcome challenges in acquiring and analyzing user data, requiring an understanding of both digital forensics principles and the proprietary characteristics of the modules. This paper presents a novel methodology for acquiring data from previously unsupported Lexus infotainment modules, including techniques to bypass CMD42 security locks on SD cards and extract data in a forensically sound manner. Once acquired, the paper outlines methods for analyzing user data through data carving techniques, enabling recovery of information from binary images even when the full file system cannot be reconstructed. Emphasis is placed on maintaining the integrity of the evidence and validating findings through controlled testing. These validation procedures ensure that the recovered
Burgess, Shanon
Leveraging Machine Learning for Occupant Body Size Estimation via B-Pillar Seatbelt Systems2026-01-0559To be published on 04/07/2026
Occupant body size in vehicles varies significantly, encompassing differences in height, weight, and overall body composition. Adaptive restraint systems, featuring adjustable parameters such as belt load limiters, steering column load limiters and stroke, seat pan stiffness, and airbag pressure, can offer more equitable protection tailored to individual body sizes. In this study, a test rig modeled after the Volvo XC90 was used to collect data from 47 seated participants. Key seatbelt-related parameters, including D-ring angle, belt payout length, lap belt length, and buckle tension, were measured. These measurements were used to train machine learning models to predict occupant characteristics: height, weight, sitting height. The results demonstrate that low-cost sensors embedded in the seatbelt system can provide sufficiently accurate occupant body size estimations to inform adaptive restraint systems. The prediction errors across both training and test datasets were as follows
Wang, Da, Ahmed, Jawwad, Rowe, Mike, Brase, Dan
The Characterization of Lumbar Acceleration in Rear-End Impacts Across Different Surrogate Occupant Types2026-01-0552To be published on 04/07/2026
Longitudinal lumbar acceleration is often overlooked as a key variable when biomechanically assessing lumbar response in rear-end collisions. Previous studies have assessed lumbar accelerations for occupant types individually, but comparative analyses between surrogate occupant types have been limited. Human volunteers best reflect kinematics in real crash scenarios but are limited to low-severity impacts due to ethical limitations. Post-mortem human subjects (PMHS) can be employed in higher speed impacts, however their lack of muscular input may not extensively capture occupant kinematics. Anthropomorphic test devices (ATDs) offer trial consistency and repeatability, however the widely used Hybrid III ATD's relatively simple lumbar spine may not fully emulate the human lumbar vertebrae. Based on these physiological differences between occupant types, there may be corresponding differences in lumbar spine acceleration that have not been objectively quantified. The aim of this study was
Zambare, Keya, Ogbu Felix, Jordan, Arana Barcala, Emily, Westrom, Clyde, Caraan, John, Adanty, Kevin, Shimada, Sean
Residual “Non-Zero” Speedometer Readings In Crash Tests Using a HYGE Crash Simulation System2026-01-0537To be published on 04/07/2026
The trend among analog speedometer and tachometer instruments in recent decades has been toward stepper motor drives. If power is interrupted during a crash, such gauges often do not return to a zero reading. Speedometers and tachometers displaying residual readings after a crash have been observed with increasing frequency in recent years. In conducting a crash reconstruction, a question often arises as to whether such a residual reading corresponds to the indicated vehicle speed at the time of impact in the crash. Prior publications in this area have included a variety of crash tests under a wide range of relatively uncontrolled conditions. The present investigation evaluated a total of nine instrument clusters with a range of static torque required to move the needles when unpowered. The clusters were mounted on a HYGE crash simulation sled and subjected to consistent impulses at orientations representing frontal, rear, left and right lateral, and left and right oblique impacts
Barnes, Daniel, Duran, Amanda, Walker, James, Kent, Steven, Osterhout, Aaron, Clayton, Aidan
Numerical Investigation on Thorax Rib Deflections of 50th Male in Vehicle Side Oblique Pole Impact Using Human Body Model2026-01-0566To be published on 04/07/2026
The WorldSID-50M dummy is an advanced side impact dummy that has been adopted extensively in regulatory testing and third party testing such as Euro-NCAP and C-NCAP. However, with increased testing modalities, excessive upper thorax rib deflection was observed in some vehicle side impact tests. It is believed that interaction between arm and thorax rib causes excessive deflection of upper thorax rib in side oblique pole impact with a large side airbag, which has better protection to the shoulders of an occupant. The objectives of the study was as following: (1) Excessive upper thoracic rib deflection of WorldSID-50M dummy are presented in the side oblique pole crash tests while this observation was not found in side impact tests with the barrier. (2) The effect of the interaction between arm and thorax of a 50th male occupant on upper thorax rib deflection was studied using Human Body Models (HBMs). The study indicates that the interaction between arm and thorax ribs has minor effect
Zhou, DY, Chen, Shaopeng, Yan, Li, Wu, Jing, Liu, Chong, Lv, Xiaojiang, Yang, Heping
Optimizing Weld Placement in Automotive Structures Using Topology and Multi-Disciplinary Approaches2026-01-0514To be published on 04/07/2026
This work presents two approaches for weld optimization aimed at reducing manufacturing cost and process time, while meeting structural performance requirements in automotive structures. The first approach uses topology optimization to identify the most efficient weld layouts. A design space is generated along mating flanges, joints, and panel interfaces, where potential weld locations are defined. Welds are treated as discrete design variables, and the topology optimization systematically evaluates their contribution to global stiffness and load path integrity. Non-critical welds, those with minimal impact on stiffness, durability, or crashworthiness, are eliminated, resulting in a minimized weld pattern that maintains structural performance. The second approach applies Multi-Disciplinary Optimization (MDO) to balance weld reduction with performance targets across multiple domains, including linear and non-linear stiffness, crashworthiness, and fatigue. Using a preprocessing tool
Koppaka, Vinaya, Yoo, Dong Yeon, Chavare, Sudeep
Target Cascading Kinematics and Compliance Tables to Suspension Design2026-01-0584To be published on 04/07/2026
During the initial design phase, automotive Original Equipment Manufacturers (OEMs) require the adaptability to examine various suspension system architectures while maintaining focus on the specific performance objectives. Those requirements are expressed by Kinematics and Compliance (K&C) look-up tables and represent the footprint of what the suspension should look like in real-world applications. However, translating those requirements into the full geometric hardpoint layout is not straightforward. This process often relies on trial-and-error approaches, making it time consuming and requiring significant expertise. This challenge, known as "target cascading," remains a major hurdle for many engineers. The main objective of this paper is to cascade the suspension requirements from K&C look-up tables to hardpoint locations by adopting an automatic workflow and ensuring respect for constructive and feasibility constraints. Design space exploration was conducted using a robust
Brigida, Piero, Di Carlo, Paolo, Di Gioia, Niccolò, Geluk, Theo, Tong, Son, Alirand, Marc, Gorgoretti, Davide, Occhineri, Marco, Tassini, Nicola, Berzi, Lorenzo
Study of Automatic Emergency Braking Effects on Belted Human and Surrogate Passengers2026-01-0556To be published on 04/07/2026
The influence of modern Automatic Emergency Braking on the head and neck behavior of the occupants in a vehicle is an emerging area of study. Occupant kinematics and kinetics were evaluated using a vehicle equipped with a pedestrian Automatic Emergency Braking (AEB) system. The vehicle was tested in several different scenarios from speeds of nominally 15 through 50 mph. Two instrumented 50th percentile male Hybrid-III Anthropomorphic Test Devices (ATD) were positioned in the right front and right rear seats of the SUV, while minimally instrumented human volunteers were seated in the left front and left rear seats. Displacement transducers and video analysis were utilized to capture the kinematics of each occupant. The results of this study indicate that AEB only events with the subject vehicle did not result in any ATD or volunteer motion that would have placed the occupants out of position (OOP) had an impact event occurred immediately following the AEB event. This means that when
Bartholomew, Meredith, Dahiya, Akshay, Russell, Caleb, Morr, Douglas, Castro, Elaine, Nguyen, An
Advanced Tire Looseness Identification through Algorithmic Gear Error Analysis and Probabilistic Assessment2026-01-0590To be published on 04/07/2026
At present, tire failures directly affect road safety, and the number of incidents caused by them is gradually increasing. Examining tire looseness on time is vital for vehicle safety. Tire-related incidents not only put people in peril but also have a detrimental effect on the economy. Therefore, the goal of this research is to develop a new and effective method for identifying tire looseness. A novel gear error reduction approach, distinct from traditional methods, combines advanced computing and probabilistic analysis. This paper involves three key components: extracting looseness eigenvalues, calculating ring gear errors, and computing the tire loosen probabilities. Gear errors derived from the Kalman filter and adjusted for speed, eigenvalues were calculated, and a tire loosening probability analysis was performed. Real-car trials across speeds and roads confirm its accuracy and reliability. This technology can improve automotive safety and maintenance, reducing accidents, claims
Zhao, Gaoming, Zhang, Zhijie, Liu, Jianjian, Ma, Guangtao, Wang, Zhenfeng, Zhao, Binggen
Research on Fault-Tolerant Control Strategy for Drive System Failure of Corner Module-by-Wire Chassis Vehicles2026-01-0620To be published on 04/07/2026
As an emerging research focus, corner module-by-wire chassis vehicles address the pain points of traditional chassis in flexibility, cost, and development efficiency, and have become one of the key infrastructures in the autonomous driving era. However, their large number of actuators significantly increases the risk of failures. This paper analyzes the characteristics of such vehicles and studies the fault-tolerant control for their drive system failures. Firstly, a full-vehicle dynamic model was established, with mathematical modeling conducted for the vehicle body, motor, tire, and corner module system models. Secondly, a hierarchical yaw stability control strategy was designed for the non-faulty actuator scenario: the decision-making and control layer adopted both Sliding Mode Control (SMC) and fuzzy PID control, selecting the method with better performance to output the additional yaw moment; the control allocation layer used a quadratic programming algorithm based on tire load
Zheng, Hongyu, Zhang, Tianhao, Zhang, Yuzhou
Wind-Tunnel Study of the Traffic-Wake Impacts for Road-Vehicle Aerodynamics2026-01-0613To be published on 04/07/2026
When driving in traffic, the wakes of leading vehicles reduce the wind speed experienced by a following vehicle, lowering its drag relative to isolated driving. These wake effects can persist to large intervehicle distances, on the order of hundreds of meters, while lateral convection due to cross winds can influence vehicles in adjacent lanes. Wind tunnel testing was conducted at 30% scale for light- and heavy-duty-vehicle models in a large wind tunnel with a traffic-wake simulation system, expanding upon a previous study that examined only heavy vehicles. Three variants of the DrivAer model, four variants of the AeroSUV model, and three variants of a zero-emission heavy-duty-truck model were tested with a range of simulated wake conditions that varied the type, forward distance, and lane position of the wake-source vehicle(s), for a range of yaw angles up to 11deg. Results show drag reductions of up to about 10% for the heavy-truck model, and up to about 20% for the passenger-vehicle
McAuliffe, Brian, Ghorbanishohrat, Faegheh, Barber, Hali
A Study on Vehicle Cornering Stiffness Estimation Based on Recursive Least Squares Method2026-01-0630To be published on 04/07/2026
This paper investigates a vehicle cornering stiffness estimation method based on recursive least squares (RLS), aiming to enhance automotive active control capabilities. Conventional parameter identification schemes reliant on onboard sensors are constrained by sensing range and cost limitations. This study explores an estimation algorithm utilizing generic motion signals, derives the theoretical relationship between yaw rate response and yaw stiffness, and designs an RLS approach for online identification of relevant model parameters. In a simulation environment, applying an ideal steering angle excitation demonstrated that the RLS algorithm converges within approximately one second and successfully estimates the cornering stiffness with an error of less than 5% relative to the set true value. Results indicate that under known vehicle basic parameters and ideal input conditions, the proposed algorithm can effectively complete cornering stiffness estimation. This work establishes an
Lang, Tao, Tan, Gangfeng, duan, xianqi, Shen, Leiming, Liang, Shuang
Vehicle Deceleration Levels during Wet-to-Dry Transitions on an Asphalt Surface with a High Proportion of Aggregate2026-01-0542To be published on 04/07/2026
The goal of this study is to quantify how the braking performance of newer anti-lock braking systems (ABS) changes as the level of road wetness varies on an asphalt road surface with a high proportion of aggregate present in the asphalt matrix. To achieve this goal, we conducted 375 straight-line braking tests using a late-model sedan and SUV on a public road in Mississauga, ON. Each vehicle was equipped with a 5th wheel (resolution 0.1 mm) sampled at 200 Hz, from which vehicle speed and deceleration were calculated. The road surface was wetted four times and allowed to dry each time under ambient conditions over a period of about one hour. As the road transitioned from wet to dry, a continuous series of ABS-braking tests were performed from an initial speed of 60 km/h. Both the maximum and average decelerations for each braking event were compared between six “wetness” categories assigned to the road surface condition present for each test. We found that the vehicles were able to
Ahrens, Matthew, Arnold, Nikolas, Miller, Ian, Siegmund, Gunter P.
Mathematical Modeling of Trust Calibration for Human–Automation Safety2026-01-0530To be published on 04/07/2026
Trust between humans and automated vehicles is increasingly recognized as a pivotal factor in achieving safety in advanced vehicles and mobility environments. Poorly calibrated trust—either over-trust leading to complacency or under-trust leading to disengagement—has been identified in numerous incidents involving advanced driver assistance systems and autonomous functions. Yet, most current approaches to managing trust rely on surveys, heuristics, or qualitative assessments, providing little predictive capability for safety engineers and system designers. This paper presents a formal mathematical framework for trust calibration, modeling trust as a dynamic, evolving construct grounded in probabilistic reasoning. We represent trust as a Beta-distributed belief that updates over time through Bayesian inference, with parameters adjusted by observed successes and failures, contextual cues, and system feedback signals. The model also incorporates forgetting and drift functions, allowing
Wen, He, Mounir, Adil
A Correction Method to Estimate Wake Effects for Aerodynamic Performance Metrics2026-01-0601To be published on 04/07/2026
Wake effects modify the aerodynamic performance of a road vehicle when driving in traffic. Analysis of wind-tunnel measurements conducted in flows with wake characteristics, using a traffic-wake-simulation system, suggests that conventional uniform-wind performance coefficients can be scaled, using wake-flow-field information, to predict the influence of wake effects. This paper presents a flow-field-averaging method that estimates a dynamic-pressure correction and yaw-angle correction for application to uniform-wind data, to account for changes in performance due to wake effects. This first-order method is shown to provide reasonably-good accuracy when reverse correcting the wind-tunnel wake-effects measurements. Drag-coefficient data for light-duty-vehicle models, which showed wake effects exceeding 20%, were corrected to within 5% of uniform-wind values, while data for heavy-duty-vehicle models, which showed wake effects exceeding 15%, were corrected to within 2% of uniform-wind
McAuliffe, Brian
Aerodynamic Development of Maruti Suzuki VICTORIS2026-01-0602To be published on 04/07/2026
MSIL (Maruti Suzuki India Limited), India's leader in automotive sector, has various SUVs (Sports Utility Vehicle) in its model lineup. Conventionally, SUVs are considered to have an aggressive stance with a bold on-road presence, and this bold design language often deteriorates aerodynamic drag performance. In the past decade, the demand for this segment has significantly grown, whereas the CAFE (Corporate Average Fuel Economy) norms have become more stringent. To cater to this growing market demand, MSIL planned for a new compact SUV - VICTORIS with targeted best-in-class aerodynamic performance. This paper illustrates the aerodynamic development process for the vehicle using CFD (Computational Fluid Dynamics) and full scale WTT (Wind Tunnel Test). During the initial stages, the bolder design of the VICTORIS deteriorated the aerodynamic drag of the vehicle. Styling exterior surface modifications and addition of new aero parts facilitated the recovery of aerodynamic drag performance
Dey, Sukanta, Singh, Shekhar, Kumar, Chandan, Alphonse, Felix Regin
Introduction to Catesby Aero Research Facility, CARF, the coast-down tunnel proving ground.2026-01-0611To be published on 04/07/2026
This paper reports on the Catesby Aero Research Facility (CARF), which began commercial use in 2019, and provides an overview of the facility and related technologies, particularly details on the vehicle-mounted component force measurement devices. CARF is a proving ground that was renovated from a former railway tunnel approximately 2.74km long and is now covered with high-quality tarmac. The road surface quality was designed to be at least as good as that of SUBARU's proving ground, and the standards were achieved using British construction technology. The course is almost straight, but there is a slight incline. The course specifications are: blockage 40m2, road width 6m (maximum 8.4m), flatness σ<0.5mm, and gradient 0.57%.In particular, compared to outdoor coastdown trucks, its overall length allows for continuous measurement right up to the stop, giving it a significant advantage in repeatability.At the same time, Subaru's newly developed six-component force sensor built into the
Shimoyama, Hiroshi
Machine Learning based Meta-Analysis of IIHS Moderate Overlap Frontal Crash Test for Rear Seat Occupant Safety Performance2026-01-0579To be published on 04/07/2026
A machine learning (ML)-based meta-analysis was conducted to evaluate rear seat occupant safety performance in the Insurance Institute for Highway Safety (IIHS) Moderate Overlap Frontal (MOF) 2.0 crash test. ML models were trained on historical IIHS crash test data to predict rear passenger injury metrics using vehicle architecture, restraint system characteristics, crash pulse parameters, and vehicle kinematics as input features. The models demonstrated high predictive accuracy and were subsequently used in a Sobol sensitivity analysis to identify critical design parameters influencing injury outcomes. The analysis revealed that rear passenger injury metrics were most sensitive to restraint system parameters. Specifically, crash pulse magnitude was the dominant factor for head injury metrics, pretensioner activation time for neck tension force, and lap belt force for the Neck Injury Criterion (Nij). For chest-related metrics—sternum deflection, dynamic belt position, and maximum belt
Lalwala, Mitesh, Kim, Wonhee, Furton, Lisa, Song, Jay
Revisiting Rear Seat Safety: Field Evaluations of Relative Injury Risk Across Seating Positions and the Integration of Advanced Rear Seat Belt Systems.2026-01-0561To be published on 04/07/2026
Despite advances in automotive crash avoidance, occupant restraint systems remain crucial in protecting the motoring public. Following decades of improvement in occupant protection, including the development of features such as frontal airbags, collapsable steering columns, and seat belt pretensioners and load limiters for the front seat, the safety of rear seat occupants has recently undergone scrutiny. Studies evaluating rear seat occupant injury risk via field crash data have reported findings of reduced relative safety in the rear seating positions and alluded to rear seat advanced restraints, such as pretensioners and load limiters, as a potential solution. While the pursuit of certain novel technologies has historically improved automotive occupant outcomes, evaluation of these new systems in both controlled laboratory environments and field crashes is necessary to understand potential positive and negative effects of widespread introduction. This study expanded upon prior field
Rapp van Roden, Elizabeth Ann, Miller, Bruce, Pearson, Joseph, Williamson, James, Brown, Thomas
Numerical Study of Gasoline Direct Injection Sprays across Different Operating Conditions using a Machine-Learning-Based Rate of Injection2026-01-0338To be published on 04/07/2026
Gasoline Direct Injection (GDI) is a key technology for increasing engine efficiency and reducing criteria pollutants, often in combination with boosted operation and engine downsizing. The development of advanced GDI injection systems is increasingly focused on refining the in-cylinder spray process, encompassing spray formation, mixing, and combustion, to achieve both homogeneous and stratified combustion. Given the broad spectrum of operating conditions, from cold-start to early and late injections at different engine loads, accurately modeling the spray formation and its evolution presents significant challenges. This study reports on a computational fluid dynamics investigation of spray morphology across different injection pressures under both cold-start and late-injection conditions. Due to a lack of information regarding the rate of injection (ROI) for the targeted injectors, a recently developed machine-learning-based model is used to extract the ROI from optical data of
Lien, Hao-Pin (Paul), Torelli, Roberto, Zhao, Le, Park, Ji-Woong, Zhang, Anqi, Pei, Yuanjiang, Hwang, Joonsik, Lee, Kyungwon
A Simple Analytical Model for Predicting Cooperative Ratio in Agreement-Seeking Cooperative Driving Automation with C-V2X Communication2026-01-0078To be published on 04/07/2026
Cooperative Driving Automation (CDA) has emerged as an active research area in recent years, categorized into four classes of operations with varying levels of cooperation as defined in the SAE J3216 standard. Among these, Class C CDA, referred to as Agreement-Seeking Cooperation (ASC), has received limited attention in literature. Unlike Cooperative Adaptive Cruise Control (CACC), which typically engages when lead vehicles are identified as cooperative and disagree under manual override or safety-critical conditions, ASC requires agents to exchange messages interactively to reach consensus on a proposed plan and its implementation. This necessitates more sophisticated communication and control designs, which in turn influences customized ASC efficiency. Previous work has examined, through simulation, the impact of three key parameters on ASC system performance: CDA message transmission frequency, Packet Drop Ratio (PDR), and Cooperation Duration Length (CDL). In this paper, we extend
Zhan, Lu, Hyeon, Eunjeong, JEONG, Jongryeol, Misra, Priyash, Di Russo, Miriam, Das, DEBASHIS, Stutenberg, Kevin
Integrated Design and Validation of a Robust Lane Centering Controller for Automated Driving.2026-01-0037To be published on 04/07/2026
Lane centering is a critical active safety feature whose effectiveness depends on robust design and validation across diverse driving conditions. This paper presents the development of a Lane Centering Controller (LCC) using a structured model-based design workflow in MATLAB and Simulink. A kinematic bicycle model was employed to simulate vehicle dynamics and evaluate an angle based steering controller integrating both feedforward and feedback control paths. The controller was tested across multiple road geometries and speeds up to 65 mph to ensure tracking consistency and stability under nominal and perturbed conditions. Perception noise models for lane curvature and curvature rate were extracted from onboard camera data under controlled conditions, revealing Gaussian characteristics. No filtering was applied, allowing direct evaluation of the controller’s inherent robustness to raw signal variability. The LCC maintained a peak lateral offset within ±0.35 m and lateral jerk within ±9
Bijinepalli, Ravi Teja, Tambolkar, Pooja, Midlam-Mohler, Shawn
StreamPETR-TKD: Temporal Knowledge Distillation for Efficient 3D Object Detection in Object-Centric Streaming Models2026-01-0023To be published on 04/07/2026
Bird's-Eye-View (BEV) perception has become pivotal in autonomous driving for 3D object detection, enabling the transformation of multi-view image features into a unified BEV representation. However, purely visual methods still struggle with depth estimation and temporal consistency, particularly in modeling long-term dependencies and avoiding trajectory confusion in dynamic scenes. Knowledge distillation (KD) offers a promising solution by transferring rich knowledge from a powerful teacher model to a efficient student model, enhancing performance without incurring significant computational overhead. This paper aims to enhance the temporal reasoning and geometric understanding of the StreamPETR model—an object-centric, streaming-based 3D detector—via a multi-level distillation strategy. 1.Temporal Relation Distillation: The self-attention mechanisms of the teacher model are distilled to impart temporal relational knowledge, enabling the student to associate object states across time
Yan, Yixiong
Hydrogen Propulsion for Heavy Commercial vehicle Applications in India : A Quality-Driven Approach from Tata Motors2026-01-0144To be published on 04/07/2026
As the global commercial vehicle sector searches for innovation in propulsion technologies that deliver sustainability and zero tail pipe emissions, hydrogen (H₂) mobility is gaining momentum—especially in heavy duty segments where battery electric drivetrains still face constraints. Tata Motors, recognized in India for its pioneering work in commercial vehicles, has launched an ambitious programme to engineer hydrogen powered solutions custom built for the nation’s heavy trucks and buses that underpin logistics and infrastructure. This paper outlines Tata Motors’ structured approach on ‘Failure mode avoidance’ for a safe and reliable H₂ propulsion, anchored in the ‘Quality by Design’ approach through Design Failure Mode and Effects Analysis (DFMEA) at a very early stage. Every critical vehicle system and sub-system—storage, fuel delivery, control and the propulsion unit itself—is subjected to DFMEA at the concept stage so that potential risks are detected and addressed before vehicle
Giri, Debabrata, Biswas, Kaushik, Saji, Amal
Development of Markov-Chain Prediction Model for Work-Stealing Scheduler in Dynamic Scheduling for Multicore Embedded Software Systems2026-01-0066To be published on 04/07/2026
Designing embedded software that achieves effective utilization of the fast-growing multicore embedded hardware should help to reduce their execution time and power consumption and improve their reliability. AI and machine learning algorithms are making their way into such rapidly enhanced multicore embedded hardware. We have developed a Markov-chain prediction model and integrated it into a work-stealing scheduler within a dynamic scheduling runtime layer (DSRL). Dynamic scheduling with a work-stealing scheduler was adapted from MIT’s Cilk framework. Dynamic scheduling allows independent computations to be spawned so they can be scheduled dynamically and executed in parallel on available cores. Cilk used a random model in its work-stealing scheduler where an idle core randomly selects other cores to steal computations from them. However, our Markov-chain-based scheduler allows idle cores to make informed decisions about which cores are better to steal their computation to increase
Sadeh, Waseem, Ganesan, Subramaniam, Qu, Guangzhi, Rawashdeh, Osamah
Embedded Real-Time Control of a Distributed Trailer Propulsion System with Regenerative Braking for Net Neutral Load Towing2026-01-0065To be published on 04/07/2026
Towing significantly degrades vehicle efficiency, reducing battery-electric vehicle (BEV) range by up to 50% and increasing internal-combustion engine (ICE) fuel consumption by ~30%. To address this challenge, this paper presents a real-time embedded control architecture for a distributed trailer propulsion system that actively regulates drawbar force to achieve net neutral load towing while enabling regenerative braking. Unlike prior e-trailer concepts, this platform demonstrates a cost-effective, fully networked, model-based control implementation using commercial off-the-shelf components. The control system integrates dual Raspberry Pi controllers running ROS 2: one samples a hitch-mounted load cell at 100 Hz and the other processes OBD-II/CAN messages. Controllers designed in MATLAB/Simulink are deployed to a 5 kWh LiFePO₄ pack and a 5 kW traction motor, utilising embedded Linux for real-time scheduling and onboard data logging. Two operating modes are implemented: (i) PI
Joshi, Gaurav, Adelman, Ian, Liu, Jun, Donnaway, Ruthie
Methodology to Quantify the Petroleum Equivalent Fuel Economy Impact of BEV Thermal System Energy Consumption2026-01-0132To be published on 04/07/2026
This paper will present research and 1D modeling results to support a proposed methodology to determine a fleet ambient weighted average Petroleum Equivalent Fuel Economy (PEFE) for the energy consumed by the thermal system of a BEV, including a proposal of how factor in the thermal system PEFE result into an OEM’s overall CAFE determination on an incentivized (not punitive) basis, within the existing regulatory framework. The topic is particularly important because EPA and NHTSA final rules issued in early 2024 eliminated A/C Efficiency Credits for BEVs that are currently in place for all classes of light duty vehicles. However, without some sort of regulatory incentivization, market forces will dictate thermal comfort system solutions that consume more energy – and with that more negative secondary effects such as higher greenhouse gas emissions and vehicle mass - than would otherwise be the case. Eliminating incentivization for BEVs is particularly concerning because the thermal
Taylor, Dwayne
High Order Control Lyapunov Function - Control Barrier Function - Quadratic Programming Based Autonomous Driving Controller for Bicyclist Safety2026-01-0034To be published on 04/07/2026
Ensuring the safety of vulnerable road users is a critical challenge in the development of advanced autonomous driving systems. Among vulnerable road users, bicyclists present unique characteristics that make their safety both critical and manageable. Compared to pedestrians, vehicles often travel at significantly higher relative speeds when interacting with bicyclists, yet bicyclist motion is generally more predictable and governed by clear traffic rules, offering opportunities for model-based control strategies. To address bicyclist safety in complex traffic environments, this study proposes a High-Order Control Lyapunov Function–High-Order Control Barrier Function–Quadratic Programming (HOCLF-HOCBF-QP) control framework. By using this approach, CLFs enforce system stability, ensuring the vehicle follows a desired trajectory, while CBFs define safety boundaries, preventing collisions between the ego-vehicle and other road users. The optimal control input is then obtained by solving a
Chen, Haochong, Cao, Xincheng, Guvenc, Levent, Aksun Guvenc, Bilin
The Impact of Extreme Ambient Temperatures on Electric Vehicle Performance in the Kingdom of Saudi Arabia2026-01-0133To be published on 04/07/2026
The rapid expansion of Saudi Arabia’s electric vehicle sector driven by manufacturers such as CEER Lucid Tesla and BYD necessitates evaluating vehicle performance under extreme thermal conditions. This study investigates the impact of high ambient temperatures on electric vehicle operation by analyzing a 60 kWh NMC battery pack under representative Riyadh summer conditions of up to 47 °C using MATLAB Simulink simulations. The results show that elevated temperatures accelerate state of charge (SOC) depletion and increase battery internal resistance. To maintain safe operating limits the BTMS must operate continuously consuming up to 20 percent of the available energy. Cooling demand increases nonlinearly with temperature exceeding 40 kW at 50 °C which leads to significant parasitic losses and a 15 to 20 percent reduction in driving range. At the system level this increased energy demand raises charging frequency and intensifies electricity load during peak summer periods thereby
Bedywi, Lama Mohammed A, AlJuhani, Haneen, Duan, Chen, AbdulNour, Bashar
Securing the AI-Driven Vehicle: A Hardware-Based Security Framework for Scalable, Trustworthy Autonomy2026-01-0085To be published on 04/07/2026
Autonomous driving technology in modern vehicles marks a pivotal evolution in transportation, but it may also introduce system-level vulnerabilities that span from tampering with sensors and interfaces to compromising compute units and communication links. This paper proposes a unified, layered hardware security architecture for AI-equipped automated vehicles. Based on current automotive Ethernet and zonal architectures, it provides end-to-end trust using hardware interface security, accelerated-cryptography, and SRAM PUF-based key provisioning. All security primitives are anchored to a hardware root of trust, delivering cryptographic identity, secure boot enforcement, and trusted key storage across the entire vehicle lifecycle. Our architectural assumptions follow the direction ISO 26262, ISO/SAE 21434 and AI development mandates for next-generation SAE Level 3+ vehicles using zonal Ethernet backbones, Time-Sensitive Networking (TSN), and heterogeneous compute islands (e.g., vision
C Suriyanarayanan, Pav, Iacob, Radu
Data-driven feedforward compensation-based trajectory tracking control2026-01-0028To be published on 04/07/2026
Advanced autonomous driving is a critical component in the intelligent development of new-generation electric vehicles. Research on reliable chassis control algorithms ensures the safety and stability of autonomous vehicles during operation. To enhance the control performance of autonomous vehicles and improve the accuracy of trajectory tracking, this paper proposes a data-driven feedforward compensation trajectory tracking control approach. By optimizing the design of the feedforward compensation loop, systematic errors and latency in the vehicle’s steering system are mitigated, thereby enhancing the precision and robustness of the control algorithm. Initially, the paper analyzes the control errors present when the vehicle responds to controller commands. Subsequently, the paper focuses on the steering angle errors in trajectory tracking, identifying and analyzing the most relevant factors. A time-delay neural network (TDNN) based on data-driven principles is designed to model and
Yang, Yijin, Yuan, Yin, Su, Ailin, Zhang, Zhijie, Wang, Zhenfeng
The cure for overgrown process garden or why engineers have given up with ASPICE.2026-01-0067To be published on 04/07/2026
The useability of development processes in automotive decreased in the past years to a level at which their application and being able to benefit from them are questionable. Such degradation can be attributed to new additions to the processes and introduction of FUSA and Cybersecurity standards. The processes try to keep up with the shift from “plan-implement- test-roll out” to more agile methods. In addition, process departments, in charge of these processes, did not target the engineers as users of these processes, they focused on the compliance of processes and the assessor in the assessment. Due to reasons mentioned above, processes have grown in size and complexity which creates unnecessary overhead and forces the usage of complex tools to handle this overhead. Furthermore, the language of this process is written mostly in the language of the assessor, making them hard to understand for an average engineer. As a result, engineers are annoyed in their daily work and are not as
Weber, Matthias, Kmiec, Mateusz, Romijn, Marcel, Nedkov, Detelin
Optimizing Virtual Scenario Testing for Autonomous Vehicles with Large-Scale Scenario Generation.2026-01-0050To be published on 04/07/2026
The validation of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) Systems, especially at higher automation levels such as SAE Level 3 or 4, demands the testing of a vast array of scenario variants far exceeding the scope of standard safety specifications like Euro NCAP (The European New Car Assessment Programme). Autonomous vehicles require thorough real-world testing to ensure automotive safety. However, public road tests are costly and risky. Instead, virtual scenarios - digital twins of real environments - offer a safe, cost-effective testing alternative. Exhaustive simulation across this high-dimensional scenario space, which includes variations in actor behavior, environmental conditions, and event characteristics, is computationally infeasible. We propose a constraint-solving approach to address this challenge that leverages mathematical and geometric techniques to analytically assess the existence and validity of scenario variants prior to simulation. Two
Karve, Omkar, Saurav, Saket, Purwar, Prabhanshu
Evaluation of PAEB Performance of a GM vehicle using EDR and Ground Truth Data2026-01-0054To be published on 04/07/2026
In order to determine the on-board EDR data recording characteristics of a GM vehicle, a 2023 GMC Sierra Denali was tested in several pedestrian Automatic Emergency Braking (P-AEB) scenarios. Using a variety of test tools, including the STRIDE robotic platform and its onboard data systems, a GPS/IMU installed in the vehicle, and several camera units, the vehicle was put into collision imminent scenarios in which the crash avoidance systems were actuated. The flags in the EDR data, the order in which EDR events were written, and the correlation between the EDR and data recorded by the aforementioned external acquisition systems were examined for each test case. Testing was done in both forward and reverse scenarios and at low speeds only. These results provide a picture of the current state of the additional data available in current EDRs installed on GM vehicles equipped with P-AEB capability, as well as an insight into the accuracy and meaning of that data which should prove
Bartholomew, Meredith, Arnett, Michael, Guenther, Dennis
Embedded Coding Agent: Natural-Language Driven Generation of AUTOSAR & Non-AUTOSAR Embedded C/C++ code2026-01-0105To be published on 04/07/2026
Embedded software development in the automotive sector is becoming more demanding as engineers balance performance, safety, and certification requirements. Traditional approaches such as manual coding or model-based workflows require significant effort in writing boilerplate code, ensuring AUTOSAR compliance, and preparing verification artifacts for audits. Commercial tools like MathWorks Simulink Embedded Coder already provide model-to-code generation capabilities, but these solutions are often costly and may not be viable for budget-sensitive domains such as two-wheelers and three-wheelers. This creates a strong need for alternative, more accessible approaches that can deliver efficiency without compromising on quality. This paper introduces an embedded coding agent designed to address this gap. The agent accepts natural language or structured prompts and generates AUTOSAR-compatible ARXML as well as embedded C and C++ implementations. Unlike general-purpose coding assistants, it is
Daware, Kartik
Adaptive Torque Vector Control for Distributed Drive Intelligent Electric Vehicles Using Model and Data Driven Approaches2026-01-0628To be published on 04/07/2026
To effectively improve the performance of chassis control of distributed drive intelligent electric vehicles (EVs) under difference road conditions, especially in combing road information and chassis control for improving road handling and ride comfort, is a challenging task for the distributed drive intelligent EVs. Simultaneously, inaccurate chassis control and uncertainty with system input, are always existing, e.g., varying road input or control parameters. Due to the higher fatality rate caused by variable factors, how to precisely chose and enforce the reasonable chassis control strategy of distributed drive intelligent EVs become a hot topic in both academia and industry. To issue the above mentioned, an adaptive torque vector hierarchical controller based on road roughness and adhesion is proposed, which optimizes the comprehensive performance of vehicle chassis. First, combined with the characteristic of the unbalance dynamic force caused by the air gap between the stator and
Wang, Zhenfeng, Zhao, Gaoming, Zhang, Zhijie
A study on the injury risk of occupant with different head and neck rotating positions2026-01-0574To be published on 04/07/2026
Drivers obtain road information through head and neck rotation. In order to study the impact of head and neck rotation posture on occupant injury in frontal collision, this paper studies the biomechanical response of occupants with five different head and neck rotation posture under 56 km/h frontal collision based on THUMS human model. Firstly, the kinematic response and head center-of-mass acceleration curves of the dead body and THUMS were compared to verify the validity of the vehicle model. Then, THUMS was adjusted to the standard occupant pose and five different head and neck rotation poses of ±20° and ±40°, and frontal collision simulation was conducted for each of the five poses with or without airbags. The results show that with the increase of head and neck rotation Angle, the risk of neck injury increases while the risk of chest injury decreases. 4 ribs are broken under standard posture, and only 2 ribs are broken when the left rotation of head and neck is 40°. The neck Nij
Li, Dongqiang, jiang, Yejie, Li, Yanyan, Tan, Chun, Jiang, Binhui
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