Browse Topic: Mathematical models

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A Modular Framework for Lateral Movement Modeling2025-01-0269To be published on 07/02/2025
The lateral movement of vehicles within their lane determines occurring occlusions, and thus decides on the range of visions of vehicle sensors used by automated driving functions and the objects detected by down-stream algorithms. As simulations play an integral role in the validation of automated driving functions, their ability to realistically model the lateral movement is crucial. However, currently applied methods such as microscopic traffic simulations and the scenario-based approach making use of maneuver-based scenario descriptions simplify or neglect the lateral movement of vehicles. For that reason, a two-level stochastic model has been introduced in earlier work. It consists of a Markov model for the systematic coarse movement and a noise model for the residual fine movement. In follow-up publications, several advancements for both model components have been presented. These follow a modular structure, thus, can be flexibly combined. This paper for the first time gives an
Neis, Nicole, Beyerer, Jürgen
Technical Paper
Automation and Optimization of the Design and Development Process for a Formula Student Racing Car Suspension2025-01-0270To be published on 07/02/2025
The design and the development of modern suspension systems is a complex process covering several different engineering domains and disciplines. Among others, this includes vehicle dynamics simulations, tyre data analysis, 1D-lap time simulations, 3D CAD design and structural analysis including collision detection. Taking into account that the overall vehicle and suspension development including all these different disciplines is performed by several engineering departments, the design automation by process digitalization is a means to minimize the manual workload for this complex engineering design and development task. The paper illustrates how the generic suspension design and development procedure can be almost fully automized with the help of so-called graph-based design languages and an associated compiler and can be applied to a concrete Formula Student racing car. It is shown how the therefore necessary digital consistency of data, digital continuity of processes and digital
Borowski, Julian, Rudolph, Stephan
Technical Paper
An LLM-Based Multi-Turn Task-Oriented Dialogue System for Machine Learning Algorithm Selection in Data Mining2025-01-0289To be published on 07/02/2025
For the systematic application of machine learning during data mining in product development processes, selecting a suitable algorithm is crucial for success. During an empirical study in the automotive industry, a team applying data mining to develop battery systems for battery electric vehicles was accompanied. Here, it could be observed that data mining tasks are often unique during product development processes and can differ in boundary conditions. Depending on these tasks, suitable machine learning algorithms must be selected. Because of the variety of machine learning paradigms, problems, and algorithms, it is often hard to select a suitable algorithm, especially for inexperienced data miners. This paper presents a large language model (LLM)-based, multi-turn, task-oriented dialogue system to support data miners in selecting machine learning algorithms that are suitable for their specific data mining tasks. This approach, called “Algorithm Selection Assistant” (ASA), enables
Hörtling, Stefan, Bause, Katharina, Albers, Albert
Technical Paper
Theory Behind a Novel Method for the Quantification of Subjective Ride Comfort Phenomena2025-01-0267To be published on 07/02/2025
In the automotive development process objective criteria are commonly used to evaluate the full vehicle ride comfort of vehicles. Based on these characteristics, vehicle concepts can be evaluated and compared at an early stage without using physical prototypes. Usually, these characteristics are determined in subjective studies using real vehicles. However, limitations in the implementation of vehicle variants, the controllability of external influences and longer intervals between the individual assessments have a negative impact on the quality of results using these approaches. Therefore, this paper presents an improved method to transfer the subjective perception and evaluation of ride comfort phenomena to objective characteristics. The corresponding procedure is shown on the basis of a one-dimensional, periodic phenomenon that is transferred to a frequency-dependent weighting function. In this process, a 6-degree of freedom driving simulator is used to overcome the limitations
Stroesser, Simon, Angrick, Christian, Zwosta, Tobias, Neubeck, Jens, Wagner, Andreas
Technical Paper
DISRUPT - Decentralized Intelligent System for Road User Prediction and Tracking2025-01-0294To be published on 07/02/2025
We present DISRUPT, a research project to develop a cooperative traffic perception and prediction system based on networked infrastructure and vehicle sensors. Decentralized tracking and prediction algorithms are used to estimate the dynamic state of road users and predict their state in the near future. Compared to centralized approaches, which currently dominate traffic perception, decentralized algorithms offer advantages such as greater flexibility, robustness and scalability. Mobile sensor boxes are used as infrastructure sensors and the locally calculated status estimates are communicated in such a way that they can augment local estimates from other sensor boxes or vehicles. In addition, the information is transferred to a cloud that collects the local estimates and provides traffic visualization functionalities. The prediction module then calculates the future dynamic state based on neurocognitive behavior and a measure of a road user's risk of being involved in dangerous
Beutenmüller, Frank, Brostek, Lukas, Doberstein, Christian, Han, Longfei, Kefferpütz, Klaus, Obstbaum, Martin, Pawlowski, Antonia, Rössert, Christian, Sas-Brunschier, Lucas, Schön, Thilo, Sichermann, Jörg
Technical Paper
Numerical analysis of direct-injection and combustion inside a H2 engine2025-01-0301To be published on 07/02/2025
The direct injection of hydrogen (H2) inside internal combustion engines (ICEs) is gaining large research interest over the port-fuel injection strategy, because of several advantages as higher volumetric efficiencies, increased power output and reduced risks of abnormal combustion. However, the required high pressure ratios across the injector nozzle produce moderate-to-high under-expanded jets, characterized by complex flow structures. This poses a challenge for the numerical modelling of the mixture preparation by means of 3D computational fluid dynamic (CFD) approaches. In this work, a validated 3D-CFD methodology has been employed to simulate the closed-valve cycle of a direct injection H2 engine equipped with a centrally mounted hollow-cone injector and a non-axisymmetric piston bowl. First, injection and mixture preparation have been studied considering an early injection at the beginning of the compression stroke, and a delayed injection in the second half of the compression
Capecci, Marcolucio, Sforza, Lorenzo, Lucchini, Tommaso, D'Errico, Gianluca, Pezza, Vincenzo, Tosi, Sergio
Technical Paper
Partial Experimental Validation of Generalized n-Trailer Articulated Vehicle Kinematics2025-01-0272To be published on 07/02/2025
Control-oriented models for vehicle systems are necessary to develop motion planning and path tracking controllers for active safety system development. While being mathematically elegant and simple enough for control design, such models must represent real-world phenomena associated with the vehicle’s kinematic and dynamic behavior. Specifically, articulated vehicles suffer from peculiarities like rearward amplification and offtracking in their kinematic behavior that are not found in single-unit passenger vehicles. In this paper, an iterative kinematic modeling algorithm for articulated truck-trailer vehicles with an arbitrary number of vehicle units having an arbitrary number of axles on each vehicle unit is evaluated using driver input data collected from an experimental passenger vehicle on eight real-world scenarios. The experimental vehicle is considered as the tractor vehicle unit for a simulation study in which multiple trailers of various geometries are considered. The yaw
Singh, Yuvraj, Giuliani, Pio Michele, Jayakumar, Adithya, Javed, Nur Uddin, Tan, Shengzhe, Rizzoni, Giorgio
Technical Paper
Optimization of Metallic Substrate by 1D simulations to fulfill High Power Cold Start Conditions2025-01-0308To be published on 07/02/2025
The future of the internal combustion engine is strictly related to his capability to have Life Cycle Emission comparable to the pure Battery Electric Vehicles. To achieve this goal, it will be necessary not only to have carbon free fuels but also to increase the hybridization of the powertrain in order to have lower fuel consumption. On the other hand, it will be necessary to reduce to almost zero any further emissions of pollutants. For this reason, highly sophisticated exhaust aftertreatment must be developed. One particular use case is the so-called High-Power Cold Start. This can occur for the Plug-In Hybrid Electric Vehicles when the transition from pure electric drive to ICE assisted drive happens during high load request, for example an acceleration on the freeway ramp. This use case has been evaluated by CARB and in many other works. Nevertheless, in this particular paper, the Authors would like to investigate which Metallic Substrate Technology fits better during a HPCS. This
Montenegro, Gianluca, Onorati, Angelo, Della Torre, Augusto, Marinoni, Andrea, Pace, Lorenzo, Konieczny, Katrin, Laurell, Mats, Klövmark, Henrik
Technical Paper
Accelerating Vehicle Usage Analysis: A Methodology for Efficient Clustering2025-01-0287To be published on 07/02/2025
Modern vehicles, increasingly electrified and automated, have effectively become "computers on wheels," intensifying product complexity and competitive pressure. Concurrently, greater digitization offers opportunities to derive customer insights from large-scale vehicle data using Knowledge Discovery in Databases (KDD) and Data Mining (DM). Among these techniques, cluster analysis can reveal hidden subgroups that inform more customer-oriented product solutions. However, cluster analysis lacks a definitive ground truth, making it necessary to test numerous parameter settings, preprocessing steps, and clustering algorithms, and then interpret all plausible results. The complexity of real-world customer data—such as heterogeneous, privacy-constrained vehicle usage signals—further complicates the selection of appropriate methodologies. Each combination of preprocessing and clustering steps must be analyzed to uncover patterns or groups, significantly increasing the time and manual effort
Wegener, Jan, van Putten, Sebastiaan, Neubeck, Jens, Wagner, Andreas
Technical Paper
Methodology for Fast-Running, Time-Resolved Simulation of Non-Exhaust Particle Emissions from Brake Wear Abrasion2025-01-0275To be published on 07/02/2025
Non-exhaust particle emissions, particularly those generated by brake wear, are a significant source of fine particulate matter in urban environments. These emissions contribute to air pollution and pose serious health risks, particularly in densely populated areas. While vehicle exhaust emissions have been extensively studied and regulated, the contribution of non-exhaust sources, including brake wear, remains a critical factor in air quality management. This paper presents a novel methodology for fast-running, time-resolved simulation of non-exhaust particle emissions, specifically those from brake wear abrasion. A 3D CFD model computes the turbulent flow field around the disc brake. The resulting information on the convective air cooling is applied as boundary conditions on a 3D thermal model. This thermal simulation setup is compared and verified with experimental data from literature. The 3D numerical models produce data and boundary conditions for an efficient 1D numerical
Herkenrath, Ferris, Lückerath, Moritz, Günther, Marco, Pischinger, Stefan
Technical Paper
Automated Test Process for Highly Configurable Software-Defined Mobility Systems in CI/CD2025-01-0297To be published on 07/02/2025
In the pursuit of customizability and evolvability of vehicle functions, manufacturers shift towards software-defined vehicles (SDV) to enable flexible customization and over-the-air updates. This results in multiple variants and versions of a vehicle model. While shifting to SDVs adds value and flexibility for customers, manufacturers struggle with homologating new and updated functionality because existing testing processes do not scale for high-frequency release cycles that limit available testing resources. Overcoming this challenge by using a coherent test process designed for testing variant-rich systems in continuous evolution will be one of the key enablers for the future development of SDVs. This paper presents an innovative end-to-end pipeline for efficient and comprehensive testing of variant-rich vehicle functionality tailored to an application in continuous development. Our transferable test pipeline employs sample-based variant selection, a software-in-the-loop
Hettich, Lennard, Pett, Tobias, Nägele, Ann-Therese, Schindewolf, Marc, Eris, Halit, Wagner, Stefan, Sax, Eric, Schaefer, Ina, Weyrich, Michael
Technical Paper
Sound Granular Synthesis Method for Science Fiction Sound Quality of Electric Vehicles2025-01-0253To be published on 06/16/2025
Since the powertrain systems of electric vehicles (EVs) lack the traditional engine sound, their NVH performance differs from that of conventional fuel-powered vehicles, making the use of active sound design (ASD) systems increasingly common to provide compensatory sound. With the increasing demand for ASD systems, sci-fi sounds are emerging as a design direction to enhance the acoustic feedback of powertrain systems and to elevate the futuristic and immersive driving experience of vehicles. A method for generating sci-fi soundscapes using a granular synthesis algorithm is proposed in this paper. First, a sci-fi sound is designed based on the characteristics of sci-fi sounds, which serves as the target sound for the synthesis algorithm. Then, it is proposed that sound grains are generated using the adaptive main frequency method, and granular synthesis is achieved through the overlap-and-add (OLA) method. In addition, a method for optimizing the composite cosine window function based
Liu, Dezhu
Technical Paper
Maximizing Efficiency in Fuel Cell Electric Bicycles: The Role of Deep Learning in Performance Optimization2025-01-0197To be published on 06/16/2025
The purpose of this work is to maximize the energy consumption and performance of fuel cell electric bicycles (FCEBs) using particular key input parameters. The paper used an integrated strategy that included an artificial neural network (ANN) and a genetic algorithm (GA) to predict and determine the optimal performance and energy consumption of FCEBs. The FCEB simulation model is established and simulated in the MATLAB-Simulink environment to generate 1000 data points that are used for training, validating, and testing the artificial neural network (ANN), which consists of five input neurons, two hidden neurons, and two output neurons. Furthermore, the GA is used to determine the optimal performance and energy usage after the ANN has been precisely trained. To evaluate and verify the simulated results, the experimental approach method was performed under the identical conditions.
LE, TRONGHIEU
Technical Paper
A Pich Shift Synthesis Algorithm for Electric Vehicle Sound Based on Quadratic Interpolation and Continuous Sample Indexing2025-01-0254To be published on 06/16/2025
The electric vehicle driveline generates less vibration and noise compared to a conventional internal combustion engine vehicle, making it hard-er for the driver to perceive the vehicle’s operating status through driveline sounds, thereby diminishing driving engagement and experience. To compensate for the absence of engine sound in EV drivelines, Active Sound Design (ASD) technology has become a crucial method for drivetrain sound enhancement, with sound synthesis algorithms playing a key role in this process. Although pitch-shifting algorithms based on frequency variation principles can synthesize engine sounds, they suffer from spectral leakage and stuttering caused by sound splicing. To ad-dress these issues, a pitch-shifting synthesis algorithm (QCPS) is proposed in this paper, which combines a quadratic interpolation method with a continuous audio sample indexing strategy. First, the frequency variation coefficient of the sound is calculated. Based on this coefficient
Liu, Dezhu
Technical Paper
TPMS based porous media for improved reactant transport in high current density polymer electrolyte membrane fuel cell operations2025-01-0196To be published on 06/16/2025
To address the challenges of water flooding and flow maldistribution in high current density operations of polymer electrolyte membrane fuel cells (PEMFC), this study investigates the use of triply periodic minimal surfaces (TPMS) based porous media for replacing conventional parallel flow-field (CPFF) patterns. The performance of fuel cells, with emphasis on reactant transport and water management, is analyzed through a multi-physical three-dimensional numerical model. To evaluate the impact of TPMS flow-fields, BPs were designed with ignorable difference in contact area ratio between BP and gas diffusion layer, ensuring comparable interfacial contact resistance. Compared to CPFF, the novel flow-field based on I-lattice promote a more uniform distribution of reactants and exhibit better liquid water saturation in porous media, thus, exhibiting greater current densities 8-15% in ohmic loss regime and nearly 22% in mass-limited regime. The flow-field based on G-lattice achieved a
Ho, Phuc Van, Lim, Ocktaeck
Technical Paper
Evaluation of Material Damping Ratio of Electronic Ignition Switch Module to Enhance its Finite Element Model Physics for Harmonic Response2025-01-0109To be published on 05/05/2025
The present paper investigates the material damping ratio parameter in detailed manner for different Electronic Ignition Switch Module (EISM) utilized in two-wheeler automobiles. At first, investigation is carried out for developing a Finite Element Method (FEM) based simulation model. The simulation is performed by matching the failure areas of critical component in assembly with physical sinusoidal vibration based shaker table test results (particularly breakage) by utilizing different damping ratios for the assembly. The damping ratio parameter is further utilized to perform FEM based harmonic response analysis for different EISM and evaluate critical structural breakage zones. The breakage zones predicted by simulation were found to be aligned with breakage zones shown by shaker table test results. The results are validated, specifically considering the damping ratio parameter. The FEM based harmonic response analysis is performed for a particular acceleration excitation in between
Shah, Viren, Kalurkar, Shantanu, Kumar, Rahul, Kushari, Subrata, Miraje, Jitendra, D, Suresh, Parandkar, Parag
Technical Paper
A study on active sound design and control method for vehicle interior hybrid noise to enhance sound quality2025-01-0011To be published on 05/05/2025
With the current popularity of new energy vehicles and the continuous development of intelligent cabin technology, the demand for acoustic comfort within automotive cockpit is increasing. A multi-channel feedforward active sound design and control method was proposed to improve the sound quality of the hybrid broadband and narrowband noise inside the test vehicle. The method selectively designed the target amplitudes for broadband noise and narrowband noise in the vehicle to satisfy passengers comfort, mainly including the sound design phase and the control phase. During the sound design phase, objective sound quality parameter analysis was first conducted on the noise of the prototype vehicle, followed by an evaluation of the sound quality with semantic differential method. An active acoustic design strategy focusing on comfort, motivation sense and annoyance perception were proposed, including a formula for the target amplitude of adjustment order and sound pressure level. The sound
Liu, Xuexian, Xu, Wenxuan, Li, Rubin, Lu, Lu
Technical Paper
Navigating Evolving Vehicle NVH Challenges with Application of Emerging Technologies in Artificial Intelligence and Machine Learning2025-01-0130To be published on 05/05/2025
The multifaceted, fast-paced evolution in the automotive industry includes noise and vibration (NVH) behavior of products for regulatory requirements and ever-increasing customer preferences and expectations for comfort. There is pressing need for automotive engineers to explore new and advanced technologies to achieve a ‘First Time Right’ product development approach for NVH design and deliver high-quality products in shorter timeframes. Artificial Intelligence (AI) and Machine Learning (ML) are trending transformative technologies reshaping numerous industries. AI enables machines to replicate human cognitive functions, such as reasoning and decision-making, while ML, a branch of AI, employs algorithms that allow systems to learn and improve from data over time. The purpose of the paper is to show an approach of using machine learning techniques to analyze the impact of variations in structural design parameters on vehicle NVH responses. The study begins by executing the Design of
Miskin, Atul R., Parmar, Azan, Raj, Sonia, Himakuntla, Uma Maheswar
Technical Paper
Data-Driven Machine Learning Approach for Rattle Risk Mitigation2025-01-0126To be published on 05/05/2025
In the modern automotive industry, squeak and rattle issues are critical factors affecting vehicle perceived quality and customer satisfaction. Traditional approaches to predicting and mitigating these problems heavily rely on physical testing and simulation technologies, which can be time-consuming and resource-intensive, especially for larger models. In this study, we propose a data-driven machine learning approach to mitigate rattle risks more efficiently. In this study, a floor console model has been evaluated using the traditional simulation-based E-line method to pinpoint high-risk areas. Data generation is performed by varying material properties, thickness, and flexible connection stiffness using the Modified Extensible Lattice Sequence (MELS) sampling algorithm, creating a diverse and comprehensive dataset for generating a machine learning (ML) model. Utilizing the dataset, the top contributing variables were identified for training the ML models. Various machine-learning
Parmar, Azan, Rao, Sohan, Reddy, Hari Krishna
Technical Paper
Characterize the Sound Field Generated from a Vehicle Horn by Pellicular Analysis2025-01-0058To be published on 05/05/2025
To predict the sound field produced by a vehicle horn requires a good source representation of it in the full vehicle model. This paper investigates the characterization of a physical vehicle horn by an inverse method called pellicular analysis. To implement this method, firstly an acoustic testing is performed to measure the sound pressure radiated from the horn at a certain number of microphone locations in a free field environment. Based on the geometry of a virtual horn, the locations of each microphone and measured sound pressure data, pellicular analysis is adopted to recover a set of vibration pattern of the virtual horn. The virtual horn and the recovered vibration information are then incorporated in a full vehicle numerical model to simulate its exterior sound field. The validity of this approach is confirmed by comparing the prediction for a horn in a production vehicle to the corresponding physical test which is required to meet the Brazilian regulation CONTRAN 764/2018.
Yang, Wenlong, Melo, Andre
Technical Paper
Development of Offline Simulation Software for Active Sound Design in Electric Vehicles2025-01-0017To be published on 05/05/2025
With the increasing adoption of electric vehicles (EVs), Active Sound Design (ASD) has emerged as a crucial method to enhance both the sound quality and driving experience, addressing the lack of distinctive engine sounds present in internal combustion vehicles. This paper presents an ASD offline simulation software developed on the MATLAB platform to address these challenges. The software integrates a vehicle dynamics model with three key sound synthesis algorithms: order synthesis, pitch shifting, and granular synthesis, allowing for comprehensive control strategy development, real-time sound playback, and rapid adjustment. The software consists of several functional modules, including configuration, order generator, pitch shifting, and granular synthesis interfaces, which support user-friendly operation and flexible sound parameter adjustments. Users can simulate different driving conditions and evaluate the acoustic performance of the ASD system in real time. The system also allows
Qian, Yushu, Xie, Liping, Xiong, Chenggang, Liu, Zhien
Technical Paper
Experimental Investigation on Genetic Algorithm optimized Proportional Integral Derivative Based Active Suspension System2025-01-0014To be published on 05/05/2025
In this work, Genetic Algorithm (GA) optimized Proportional Integral Derivative (PID) controller is employed. The PID gain values are optimally tuned based on the objective function formulated using the Integral Time Absolute Error (ITAE) criteria of various suspension measures like vehicle body displacement, suspension and tire deflections. The proposed GAPID controller is experimentally validated through the 3-DOF quarter-car test rig model. The fabricated model with passive suspension system (PASS) and active suspension system (ACSS) provided with an electrical actuator as base excitation is pictured. The schematic representation of the fabricated test set-up with and without ACSS is also illustrated. Further, simulation and experimental response of the fabricated model with and without ACSS are compared. It is identified that the proposed GAPID controller attenuates the sprung mass acceleration by about 41.64 % and 29.13 % compared with PASS for the theoretical as well as
A, Arivazhagan, Kandavel, Arunachalam
Technical Paper
Innovative High-Performance Active Dampers for Effective Mitigation of Helicopter Main Rotor Vibrations2025-01-0163To be published on 05/02/2025
Helicopter vibrations, primarily generated by the main rotor-gearbox assembly, are a major source of concern due to their impact on structural integrity, cockpit instrument durability, and crew comfort. These vibrations are mainly transmitted through the gearbox’s rigid support struts to the fuselage, leading to increased cabin noise and potential damage to critical components. This paper presents a solution for vibration mitigation which involves replacing traditional gearbox support struts with low-weight, high-performance active dampers. Developed by Elettronica Aster S.p.A., these active dampers are designed as electro-hydraulic actuators embedded within a compliant structure. The parallel nested configuration of the system enables high power densities and effective vibration control, significantly reducing the transmission of harmful vibrations to the fuselage. The comprehensive model-based design process is detailed, describing the development and use of a high-fidelity physics
Bertolino, Antonio Carlo, Sorli, Massimo, Porro, Paolo Giovanni, Galli, Claudio
Technical Paper
Determining Worst-Case Execution Time Bounds for Multi-core Processors2025-01-0155To be published on 05/02/2025
Demonstrating deadline adherence for real-time tasks is a common requirement in all safety norms, including ISO 26262 and DO-178C. Timing verification has to address two levels: the code level (worst-case execution time) and the scheduling level (worst-case response time). Determining which methodology is suited best depends on the characteristics of the target processor. All contemporary microprocessors try to maximize the instruction-level parallelism by sophisticated performance-enhancing features that make the execution time of a particular instruction dependent on the execution history. On multi-core systems, the execution time additionally is influenced by interference effects on shared resources caused by concurrent activities on the different cores, which are not controlled by the scheduling algorithm. In the avionics domain, the new FAA AC 20-193 / EASA AMC 20-193 guidance documents formalize predictability aspects of multi-core systems and derive adequate measures for timing
Kaestner, Daniel, Gebhard, Gernot, Huembert, Christian, Pister, Markus, Wegener, Simon, Ferdinand, Christian
Technical Paper
Image Processing-Based Chip Detection by KIZKI Algorithm and Its Optimization2025-01-0168To be published on 05/02/2025
The process of producing aircraft parts involves the drilling of aluminum alloys. This creates a large amount of chips, which are removed using air, but sometimes they still remain within the holes. This is checked by inspectors through visual inspection. However, the quality of human inspection varies based on skill level and fatigue. Thus, image-based inspection should be used to stabilize and further improve inspection quality. This study aims to build a framework for chip detection based on image processing. Taking into account on-site implementation, the system must have low installation and running costs and be standalone. Therefore, we adopt the KIZKI algorithm, which satisfies these conditions. KIZKI means awareness in Japanese. This is a model of human peripheral vision and saccades. It does not require training like AI and can achieve high-speed and high-performance detection using a low-performance computer. In other words, there is no need for a computer with an expensive
Iinuma, Marin, Sato, Junya, Tsuji, Masahiko
Technical Paper
Approach to Optimize the Airplane Boarding Process by using Image Recognition and Stochastic Simulation to Predict Overhead Bin Fill Levels2025-01-0164To be published on 05/02/2025
In single-aisle aircraft, the available storage space for carry-on baggage is inherently limited. When the aircraft is fully booked, this often results in insufficient overhead bin space, necessitating last-minute gate-checking of carry-on items, which delays the boarding process and reduces operational efficiency. A promising approach to mitigating this issue involves the integration of computer vision technologies with an appropriate data storage system and stochastic simulation to enable accurate and supportive predictions that enhance planning. In this work the YOLOv8 image recognition algorithm is used to identify and classify each passenger’s carry-on baggage into categories such as handbags, backpacks and suitcases. This data is then linked to passenger information stored in the NoSQL database MongoDB, which included seat assignments and the number of carry-on items per passenger. Stochastic simulation is applied to predict the occupancy levels of overhead storage bins across
Bergmann, Jacqueline, Hub, Maximilian
Technical Paper
Machine Learning-Based Vision Mapping and Planning for Flexibility in High-Mix Robotic Manufacturing2025-01-0157To be published on 05/02/2025
Industries that require high-accuracy automation in the creation of high-mix/low-volume parts, such as aerospace, often face cost constraints with traditional robotics and machine tools due to the need for many pre-programmed tool paths, dedicated part fixtures, and rigid production flow. This paper presents a new machine learning (ML) based vision mapping and planning technique, created to enhance flexibility and efficiency in robotic operations, while reducing overall costs. The system is capable of mapping discrete process targets in the robot work envelope that the ML algorithms have been trained to identify, without requiring knowledge of the overall assembly. Using a 2D camera, images are taken from multiple robot positions across the work area and are used in the ML algorithm to detect, identify, and predict the 6D pose of each target. The algorithm uses the poses and target identifications to automatically develop a part program with efficient tool paths, including
Langan, Daniel, Hall, Michael, Goldberg, Emily, Schrandt, Sasha
Technical Paper
Enhancements in Hydrogen Low Pressure Injection on Small Two-Stroke Engines2024-32-004704/18/2025
The use of small 2-stroke crankcase scavenged engines running on hydrogen is very attractive for low power rates, when low cost and compact dimensions are the fundamental design constraints. However, achieving optimal performance with hydrogen fuel presents challenges, including uneven air-fuel mixtures, fuel losses, and crankcase backfiring. This research focuses on a small 50cc 2-stroke loop-scavenged engine equipped with a patented Low-Pressure Direct Injection (LPDI) system, modified for hydrogen use. Experimental results demonstrate performance comparable to the gasoline counterpart, but further optimizations are needed. Consequently, CFD-3D simulations are employed to analyses the injection process and guide engine development. The numerical analysis focuses on a fixed operating condition: 6000 rpm, Wide Open Throttle (WOT), with a slightly lean mixture and injection pressure fixed at 5 bar. A numerical model of the entire engine is set up with the primary objective of improving
Caprioli, Stefano, Schoegl, Oliver, Oswald, Roland, Kirchberger, Roland, Mattarelli, Enrico, Rinaldini, Carlo Alberto
Technical Paper
Dynamic Analysis of Intake and Exhaust Valve Motion in a High-Performance 4-Stroke Engine. Part1 - Experimental Measurement of Valve Motion Using a High-Frequency Laser Sensor2024-32-008304/18/2025
The motion of the intake and exhaust valves plays a pivotal role in determining operational efficiency and performance, especially in high-specific power 4-stroke engines. At high rpm levels, the dynamic behavior of the valve may deviate from the kinematic model established during the design phase. This discrepancy arises due to the high accelerations and forces to which the valve and other components of the valvetrain system are subjected. Notably, under such conditions, the valve may detach from the cam profile at the conclusion of the opening stroke and can exhibit a bouncing behavior during the closing stroke. Moreover, the elasticity of all valvetrain system elements introduces additional complexities. Factors such as timing chain elongation, camshaft carrier deformation, and valve stem compression can contribute to a deviation in phase compared to the initially defined kinematics. Within this context, the direct measurement of the valves motion represents fundamental information
Grilli, Niccolò, Romani, Luca, Raspanti, Sandro, Bosi, Lorenzo, Ferrara, Giovanni, Trassi, Paolo, Fiaschi, Jacopo, Guarducci, Edoardo
Technical Paper
Numerical Investigation of Electrolyte Feed System Designs at the Stack Level of Vanadium Redox Flow Batteries2024-32-006804/18/2025
The rise of electric vehicles (EVs) highlights the need to transition to a renewable energy society, where power is generated from sustainable sources. This shift is driven by environmental, economic, and energy security concerns. However, renewable energy sources like wind and solar are intermittent, necessitating extensive energy storage systems. Vanadium redox flow batteries (VRFBs) are promising for large-scale energy storage due to their long cycle life, scalability, and safety. In VRFBs, cells are typically connected in series to increase voltage, with electrolytes introduced through parallel flow channels using a single manifold. This design, while simple and low in pressure drop, often leads to imbalanced flow rates among cells, affecting performance. Balancing flow rates is crucial to minimize uneven overpotential and enhance durability, presenting an optimization challenge between achieving uniform flow and minimizing pressure drop. This study developed numerical models to
Suwanpakdee, Nut, Aiemsathit, Poramet, Charoen-amornkitt, Patcharawat, Suzuki, Takahiro, Tsushima, Shohji
Technical Paper
Dynamic Analysis of Intake and Exhaust Valve Motion in a High-Performance four Stroke Engine. Part 2 - Development of a Numerical Model for the Simulation of the Valvetrain2024-32-008404/18/2025
The intake and exhaust valve motion have, as known, a pivotal role in determining engine operation and performances. When dealing with high specific power engines, especially at high rpm, the dynamic behavior of the valve can differ from the kinematic one defined during the design phase. This is related to the high acceleration and forces to which the valve and the other components of the valvetrain system are subjected. In particular, the valve can detach from the cam profile at the end of the opening stroke, and it can show a bouncing behavior during the closing stroke. In addition, all the elements of the valvetrain system are not infinitely rigid and aspects such as the timing chain elongation, the camshaft torsion and the valve stem compression can determine a change in phase with respect to the kinematic one. Since the high complexity level of valvetrains, advanced numerical simulations are mandatory to deeply analyze the behavior of the whole mechanism and each subsystem. The
Tarchiani, Marco, Romani, Luca, Raspanti, Sandro, Bosi, Lorenzo, Ferrara, Giovanni, Trassi, Paolo, Fiaschi, Jacopo
Technical Paper
Novel Statistical Modelling-Based Approach for Exhaust Mass Flow Calculation in Motorcycles2024-32-007204/18/2025
The exhaust mass flow measurement for motorcycles poses a unique challenge due to presence of pulsations arising from an unfavorable combination of the engine displacement-to-exhaust system volume ratio and the long or even unequal ignition intervals. This pulsation phenomenon significantly impacts the accuracy of the differential pressure-based measurement method commonly employed in on-board measurement systems for passenger cars. This paper introduces an alternative approach calculating exhaust mass flow in motorcycles, focusing on statistical modelling based on engine parameters. The problem at hand is rooted in the adverse effects of pulsations on the differential pressure-based measurement method used in the EFM. The unfavorable combination of engine characteristics specific to motorcycles necessitates a novel approach. Our proposed alternative involves utilizing readily available OBD parameters, namely engine speed and calculated engine load as there is mostly no data for intake
Schurl, Sebastian, Sturm, Stefan, Schmidt, Stephan, Kirchberger, Roland
Technical Paper
Estimationof Loads and Frame Deformation on Motorcycle Handling2024-32-001204/18/2025
Motorcycle frames have been designed based on static stiffness, which are frame characteristics related to stability and maneuverability. With this approach, lightweight frames have been designed, while achieving stability and maneuverability have been an ongoing trial-and-error process. To further improve them, studies on dynamic frame deformation in motion have already been reported. However, the mechanism that can explain the relationship between frame deformation and motorcycle dynamics has not been clarified yet. It is necessary to clarify the relationship between frame deformation and the change in load acting on the vehicle due to frame deformation. In this study we focus on the relationship between time history deformation of the frame and the combined loads that cause such deformation. Focusing on the transient response during turns related to motorcycle handling, the dominant frame deformation and load relationships are identified. For this objective, we propose a method to
Sakamoto, Kazunobu
Technical Paper
Learned Human Eye Gaze for Object Tracking: A Preliminary Study09-13-01-000404/15/2025
Visual object tracking technology is the core foundation of intelligent driving, video surveillance, human–computer interaction, and the like. Inspired by the mechanism of human eye gaze, a new correlation filter (CF) tracking algorithm, named human eye gaze (HEG) tracking algorithm, was proposed in this study. The HEG tracking algorithm expanded the tracking detection idea from the traditional detection-tracking to detection-judging-tracking by adding a judging module to check the initial and retrack the unreliable tracking result. In addition, the detection module was further integrated into the edge contour feature on the basis of the HOG (histogram of oriented gradients) extracting feature and the color histogram to reduce the sensitivity of the algorithm to factors such as deformation and illumination changes. The comparison conducted on the OTB-2015 dataset showed that the overall overlap precision, distance precision, and center location error of the HEG tracking algorithm were
Jiang, Yejie, Jiang, Binhui, Chou, Clifford C.
Journal Article
Compatibility between Stability and Curving Ability of Railway Vehicles Using Conventional and Unconventional Bogie Frame Models02-18-03-001404/09/2025
This article analyses the fundamental curving mechanics in the context of conditions of perfect steering off-flanging and on-flanging. Then conventional, radial, and asymmetric suspension bogie frame models are presented, and expressions of overall bending stiffness kb and overall shear stiffness ks of each model are derived to formulate the uniform equations of motion on a tangent and circular track. A 4 degree of freedom steady-state curving model is formulated, and performance indices such as stability, curving, and several parameters including angle of attack, tread wear index, and off-flanging performance are investigated for different bogie frame configurations. The compatibility between stability and curving is analyzed concerning those configurations and compared. The critical parameters influencing hunting stability and curving ability are evaluated, and a trade-off between them is analyzed. For the verification, the damped natural frequencies and mean square acceleration
Sharma, Rakesh Chandmal, Sharma, Sunil Kumar, Palli, Srihari, Rallabandi, Sivasankara Raju, Sharma, Neeraj
Journal Article
Simulation and Parameter Optimization of Commercial Vehicle Cab Suspension System2025-01-826804/01/2025
Taking a commercial vehicle cab suspension system as the research focus, a rigid-flexible coupled dynamics model was established based on the nonlinear characteristics of the integrated damper air spring and bushings. Time-domain vibration acceleration signals were acquired at the connection points between the frame, cab, and suspension. The vibration signals at the frame and suspension connection points were input into the simulation model, where the vibration responses at the cab and suspension connection points were calculated and analyzed using the established cab suspension system model. The accuracy of the model was verified by comparing the simulation results with experimental data. The established cab suspension system model was further used to evaluate human vibration comfort within the cab, following national standards for subjective human perception. A piecewise polynomial function was employed to fit the stiffness-damping characteristics of the integrated damper air spring
Hao, Qi, Zhu, Yuntao, Sun, Wen, Sun, Kai, Sun, Zhiyong, Huang, Yu, Zhen, Ran, Shangguan, Wen-Bin
Technical Paper
Aggressive Autonomous Control on Snow and Ice2025-01-804004/01/2025
In cold and snowy areas, low-friction and non-uniform road surfaces make vehicle control complex. Manually driving a car becomes a labor-intensive process with higher risks. To explore the upper limits of vehicle motion on snow and ice, we use an existing aggressive autonomous algorithm as a testing tool. We built our 1:5 scaled test platform and proposed an RGBA-based cost map generation method to generate cost maps from either recorded GPS waypoints or manually designed waypoints. From the test results, the AutoRally software can be used on our test platform, which has the same wheelbase but different weights and actuators. Due to the different platforms, the maximum speed that the vehicle can reach is reduced by 1.38% and 2.26% at 6.0 m/s and 8.5 m/s target speeds. When tested on snow and ice surfaces, compared to the max speed on dirt (7.51 m/s), the maximum speed decreased by 48% and 53.9%, respectively. In addition to the significant performance degradation on snow and ice, the
Yang, Yiming, Bos, Jeremy P.
Technical Paper
Numerical Modeling of a Sandwich Structure Integrated with Shear Thickening Fluid (STF) for Impact Energy Absorption2025-01-874504/01/2025
Shear Thickening Fluid (STF) exhibits tunable stiffness under varying loading velocities, making it an ideal candidate for energy absorption in transportation systems subjected to complex loading conditions, such as crash scenarios. Recent research highlights that integrating STF with conventional structures can significantly enhance overall energy absorption performance. In this study, we developed a novel sandwich plate by combining a newly designed bio-inspired 3D periodic structure with STF, aiming to create an advanced energy absorber. A finite element model of this system was developed to simulate the crush tests. Using this numerical model, we conducted additional impact simulations to investigate the effects of impact velocity on key structural responses, including force-displacement curve, as well as energy absorption. The contributions of both the fluid and solid components were analyzed. Our findings indicate that the integrated structure demonstrates superior performance
Zhu, Feng, Deb, Anindya
Technical Paper
Active Suspension System Optimal Control Strategy Considering Vehicle Ride Comfort and Road Maintenance Capability2025-01-827704/01/2025
The suspension system could transmit and filter the forces between the body and road surface, which affects vehicle ride comfort and road maintenance capability. Compared to traditional passive and semi-active suspension, Active Suspension Systems (ASS) could automatically adjust the suspension stiffness, damping force, and body height according to changes in the vehicle's load distribution, travelling speed, and braking action through the addition of a power source such as a linear motor. Although the existing advanced control methods could help to effectively improve the driving quality of vehicles equipped with ASS, the conflict between ride comfort and road maintenance capacity is still a difficult problem to be solved. Therefore, an Active Suspension System optimal control strategy considering vehicle ride comfort and road maintenance capability is proposed in this paper. Firstly, a quarter ASS model and a road model are respectively developed based on the system dynamics
Zhu, Bing, Zhang, Chaohui, Sun, Jihang, Wang, Shiwei, Ding, Shuwei, Li, Lun, Chen, Zhicheng
Technical Paper
Research on Road-Sense Simulation Algorithm and Analysis of Its Effect on Different Steering Wheels2025-01-875304/01/2025
With the continuous development of automotive intelligence, there is an increasing demand for vehicle chassis systems to become more intelligent, electronically controlled, integrated, and lightweight. In this context, the steer-by-wire system, which is electronically controlled, offers high precision and fast response. It provides greater flexibility, stability, and comfort for the vehicle, thus meeting the above requirements and has garnered widespread attention. Unlike traditional systems, the steer-by-wire system eliminates mechanical components, meaning the road feel cannot be directly transmitted to the steering wheel. To address this, the road feel, which is derived from the vehicle's state or integrated with environmental driving data, must be simulated and transmitted to the steering wheel through a road feel motor. This motor generates feedback that mimics the road feel, similar to that experienced in a conventional steering system. This simulation enhances the driver's
Li, Shang, Kaku, Chuyo, Zheng, Hongyu, Zhang, Yuzhou
Technical Paper
Development of a Rule-Based Lidar Lane-Keeping Assistance System for Autonomous Vehicles Applications2025-01-802504/01/2025
Lane-keeping is critical for SAE Level 3+ autonomous vehicles, requiring rigorous validation and end-to-end interpretability. All recently U.S.-approved level 3 vehicles are equipped with lidar, likely for accelerating active safety. Lidar offers direct distance measurements, allowing rule-based algorithms compared to camera-based methods, which rely on statistical methods for perception. Furthermore, lidar can support a more comprehensive and detailed approach to studying lane-keeping. This paper proposes a module perceiving oncoming vehicle behavior, as part of a larger behavior-tree structure for adaptive lane-keeping using data from a lidar sensor. The complete behavior tree would include road curvature, speed limits, road types (rural, urban, interstate), and the proximity of objects or humans to lane markings. It also accounts for the lane-keeping behavior, type of adjacent and opposing vehicles, lane occlusion, and weather conditions. The algorithm was evaluated using
Soloiu, Valentin, Mehrzed, Shaen, Kroeger, Luke, Pierce, Kody, Sutton, Timothy, Lange, Robin
Technical Paper
Terrain Environment Estimating Method for off-Road Vehicle Anticipated Driving Area Based on Stereo Vision2025-01-827904/01/2025
Off-road vehicles are required to traverse a variety of pavement environments, including asphalt roads, dirt roads, sandy terrains, snowy landscapes, rocky paths, brick roads, and gravel roads, over extended periods while maintaining stable motion. Consequently, the precise identification of pavement types, road unevenness, and other environmental information is crucial for intelligent decision-making and planning, as well as for assessing traversability risks in the autonomous driving functions of off-road vehicles. Compared to traditional perception solutions such as LiDAR and monocular cameras, stereo vision offers advantages like a simple structure, wide field of view, and robust spatial perception. However, its accuracy and computational cost in estimating complex off-road terrain environments still require further optimization. To address this challenge, this paper proposes a terrain environment estimating method for off-road vehicle anticipated driving area based on stereo
Zhao, Jian, Zhang, Xutong, Hou, Jie, Chen, Zhigang, Zheng, Wenbo, Gao, Shang, Zhu, Bing, Chen, Zhicheng
Technical Paper
Modeling and Evaluation of FSAE Vehicle Cockpit Ergonomics2025-01-861004/01/2025
This paper seeks to define an analytical approach to ergonomic cockpit design for SAE formula style vehicles. The proposed approach uses a data driven driver model based on RAMSIS ergonomic FEA that considers the discomfort, fatigue, and force availability to evaluate cockpit designs that are generated considering defined constraint inputs, such as driver gender and size. The multifunctional model is applicable to various settings of vehicle design and is tuned toward proving performance in operation tasks, as well as setting the groundwork for a multi-variable optimization to determine the preferred driver controls positions for minimum effort and fatigue. In this initial research, RAMSIS ergonomic software is used to generate fatigue and joint discomfort data related to individual joint angles. Anthropometric data is used to calculate the proportional limb lengths from an individual’s gender and height percentile. The optimization function works by selecting a range of driver
Mayor, J.Rhett, Bezaitis, Megan, Oromi, Negar, Winters, Emily, Repp, Alex
Technical Paper
Vibration Mitigation of Semi-Active Vehicle Suspension System Incorporating Magnetorheological Damper Using Hybrid Control2025-01-826904/01/2025
Magnetorheological (MR) dampers, known for their remarkable dependability and cost-effectiveness, have established themselves as prime semi-active vibration control devices in engineering systems. MR dampers are categorized as adaptive devices because their features may be readily adjusted by applying a regulated voltage signal. Their ability to offer superior performance while mitigating the drawbacks of fully active actuators underscores their practical significance. This research is to investigate some system hybrid controllers using a combination state derivative feedback and a linear-quadratic regulator for use in conjunction with the damper controller of a semi-active suspension of a Quarter vehicle model to improve ride comfort and vehicle stability. The mathematical model of 3 degrees of freedom for semi-active suspension using MR dampers will be derived and simulated using MATLAB and SIMULINK software. In order to quantify the effectiveness of the suggested control strategies
M.Faragallah, Mohamed, Metered, Hassan, Essam, Mahmoud A.
Technical Paper
Fuzzy Sliding Mode Control of Intelligent Electric Vehicles Based on Phase Plane Stability Domain Boundaries2025-01-880204/01/2025
In order to effectively improve the chassis handling stability and driving safety of intelligent electric vehicles (IEVs), especially in combing nonlinear observer and chassis control for improving road handling. Simultaneously, uncertainty with system input, are always existing, e.g., variable control boundary, 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 prescribed performance control strategy of IEVs become a hot topic in both academia and industry. To issue the above mentioned, a fuzzy sliding mode control method based on phase plane stability domain is proposed to enhance the vehicle’s chassis performance during complex driving scenarios. Firstly, a two-degree-of-freedom vehicle dynamics model, accounting for tire non-linearity, was established. Secondly, combing with phase plane theory, the stability domain boundary of vehicle yaw rate and side-slip phase plane based
Liao, Yinsheng, Wang, Zhenfeng, Guo, Fenghuan, Deng, Weili, Zhang, Zhijie, Zhao, Binggen, Zhao, Gaoming
Technical Paper
A Steering Control Method Applicable to an Eight-Wheeled Planetary Laboratory2025-01-830504/01/2025
In future planetary exploration missions, the Eight-Wheeled Planetary Laboratory (EWPL) will have sufficient capacity for tasks but will experience significant lateral slips during high-speed turns due to its large inertia. Modern technology allows for independent steering of all eight wheels, but controlling each wheel's steering angle is key to improving stability during turns. This paper introduces a novel rear-axle steering feed-forward controller to reduce sideslip. First, a mathematical model for the vehicle's steering is established, including kinematic equations based on Ackermann steering. Feed-forward zero side-slip control is applied to the third and fourth axles to counteract the side-slip angle of the center of mass. A multi-body dynamics model of the EWPL is then built in Chrono to evaluate the turning radius and optimize steering angle ratios for the rear axles. Finally, a steady-state cornering simulation on loose terrain compares the performance of the proposed
Liu, Jun, Zhang, Kaidi, Shi, Junwei, Yang, Wenmiao, Zhang, Yunqing, Wu, Jinglai
Technical Paper
Design of Fault-Tolerant Control Strategy for Dual-Winding Permanent Magnet Synchronous Motor in Vehicles2025-01-880504/01/2025
Motor drive control is crucial for achieving the performance, reliability, and comfort of electric vehicles. Multi-phase motors, represented by dual-winding permanent magnet synchronous motors (PMSMs), have significant research value in the electric vehicle field due to their high-power drive capabilities and strong fault tolerance. A simple and easily analyzable motor model is essential for achieving high precision in control. This paper employs VSD coordinate transformation (vector space decomposition) based on electromagnetic principles and the positional relationships between windings, treating the multi-phase motor as a whole and mapping various physical quantities to multiple subspaces for simplified analysis. Consequently, a mathematical model for the dual-winding PMSM is established. The vector control system based on VSD coordinate transformation adopts a dual closed-loop structure for speed and current. It focuses on a comparative analysis between traditional two-vector
Gao, ChaoFan, Zheng, Hongyu, Kaku, Chuyo
Technical Paper
End-to-End Style Parking Algorithm Development Pipeline Based on Procedural Parking Scenario Synthetic Data Generation2025-01-806004/01/2025
Less costs and higher efficiency may be constant technological pursuit. Despite the great success, data-driven AI development still requires multiple stages such as data collection, cleaning, annotation, training, and deployment to work together. We expect an end-to-end style development process that can integrate these processes, achieving an automatic data production and algorithm development process that can work with just clicks of the mouse. For this purpose, we explore an end-to-end style parking algorithm development pipeline based on procedural parking scenario synthetic data generation. Our approach allows for the automated generation of parking scenarios according to input parameters, such as scene construction, static and dynamic obstacles arrangement, material textures modification, and background changes. It then combines with the ego-vehicle trajectories into the scenarios to render high-quality images and corresponding label data based on Blender software. Utilizing
Li, Jian, Wang, Hanchao, Zhang, Song, Meng, Chao, Rui, Zhang
Technical Paper
A Minimalist High-Power Boost Charging Solution Integrated into Electric Drives2025-01-856004/01/2025
The driving capability and charging performance of electric vehicles (EVs) are continuously improving, with high-performance EVs increasing the voltage platform from below 500V to 800V or even 900V. To accommodate existing low-voltage public charging stations, vehicles with high-voltage platforms typically incorporate boost chargers. However, these boost chargers incur additional costs, weight, and spatial requirements. Most mature solutions add a DC-DC boost converter, which results in lower charging power and higher costs. Some new methods leverage the power switching devices and motor inductance within the electric drive motor to form a boost circuit using a three-phase current in-phase control strategy for charging. This approach requires an external inductor to reduce charging current ripple. Another method avoids the use of an external inductor by employing a two-parallel-one-series topology to minimize current ripple; however, this reduces charging power and increases the risk
Yuan, Baocheng, Ma, Yong, Xie, Xi, Liu, Shaowei, Guan, Tianyu, Ge, Kai, Zheng, Lifu, Xu, Xu
Technical Paper
Regression Model based Method for Stiffness Design of Laminated Glasses2025-01-832004/01/2025
This paper presents a new regression model-based method for accurate predictions of stiffness of different glass laminate constructions with a point-load bending test setup. Numerical FEA models have been developed and validated with experimental data, then used to provide training data required for the statistical model. The multi-variable regression method considered six input variables of total glass thickness, thickness ratio of glass plies as well as high-order terms. Highly asymmetrical, hybrid laminates combining a relatively thick soda-lime glass (SLG) ply joined with a relatively thin Corning® Gorilla® Glass (GG) ply were analyzed and compared to standard symmetrical SLG-SLG constructions or a monolithic SLG with the same total glass thickness. Both stiffness of the asymmetrical laminates and the improvement percentage over the standard symmetrical design can be predicted through the model with high precision.
Yu, Chao, Cleary, Thomas, Joubaud, Laurent, kister, Evan, Fisher, W Keith
Technical Paper
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