Automobile crashes are the largest cause of death for pregnant females and the leading cause of traumatic fetal injury mortality in the United States. A previously validated MADYMO computer model of a 30-week pregnant occupant was used in this study to investigate the pregnant occupant response in a severe frontal motor vehicle crash. This study presents simulations of 26 different severe car c...

This paper presents an approach for delay optimization in Vehicular ad hoc networks using Ant Colony Optimization and WIMAX technology. Several techniques have previously been proposed for optimizing the load and making routes more scalable to avoid collision for end to end communication between vehicles on highways to ensure that vehicles perform safety communication between each other. No tec...

Effective lithium-ion battery module modeling has become a bottleneck for full-size electric vehicle crash safety numerical simulation. Modeling every single cell in detail would be costly. However, computational accuracy could be lost if the module is modeled by using a simple bulk material or rigid body. To solve this critical engineering problem, a general method to establish a computational...

NONLINEAR DYNAMICS OF LONGITUDINAL GROUND VEHICLE TRACTION By Brian John Olson The purpose of this study is to investigate and understand the nonlinear dynamics of longitudinal ground vehicle traction. Specifically, the performance of rubber-tired automobiles under straight-ahead braking and acceleration conditions is discussed in detail. Two vehicle-traction models are considered—a quarter-car...

Real-time simulations refer to the of a physical system where model equations for one time-step are solved within same time period as in reality. An FPGA/CPU-based real-time simulation platform is presented this paper, with full-electric vehicle implemented central processing unit (CPU) board and an electric drive field programmable gate arrays (FPGA) board. It has been challenge interface two ...

The aim of this paper is to present a mini tilt-rotor unmanned aerial vehicle which is capable to perform hover flight. Unlike conventional full-scale tiltrotors, in our design we avoid the use of swashplate and we propose a simpler mechanical design which use only the tilting rotors to stabilize the vehicle dynamics. A detailed mathematical model is derived via the Newton-Euler formalism. A no...

Performing subsea intervention tasks is a challenge due to the complexities of the underwater domain. We propose to use a learning by demonstraition algorithm to intuitively teach an intervention autonomous underwater vehicle (IAUV) how to perform a given task. Taking as an input few operator demonstrations, the algorithm generalizes the task into a model and simultaneously controls the vehicle...

In this paper, we describe trajectory planning and state estimation algorithms for aggressive flight of micro aerial vehicles in known, obstacledense environments. Finding aggressive but dynamically feasible and collision-free trajectories in cluttered environments requires trajectory optimization and state estimation in the full state space of the vehicle, which is usually computationally infe...

A Field Programmable Gate Array (FPGA) is proposed to build an Adaptive Neuro Fuzzy Inference System (ANFIS) for controlling a full vehicle nonlinear active suspension system. A Very High speed integrated circuit Hardware Description Language (VHDL) has been used to implement the proposed controller. An optimal Fraction Order PI λ D μ (FOPID) controller is designed for a full vehicle nonlinear ...

background: the characteristics of secondary neutrons in a high energy radiation therapy room were studied using the mcnpx monte carlo (mc) code. materials and methods: two mc models including a model with full description of head components and a simplified model used in previous studies were implemented for mc simulations. results: results showed 4-53% difference between full and with the sim...