Behavioral applications of vehicle-dynamics simulation (original) (raw)

Motion simulation experiments for driver behavior and road vehicle dynamics

Journal of Computing and Information Science in Engineering, 2011

This paper discusses the design and development of a motion-based driving simulation and its integration into driving simulation research. The integration of the simulation environment into a road vehicle dynamics curriculum is also presented. The simulation environment provides an immersive experience to conduct a wide range of research on driving behavior, vehicle design and intelligent traffic systems. From an education perspective, the environment is designed to promote hands-on student participation in realworld engineering experiences that enhance conventional learning mechanisms for road vehicle dynamics and engineering systems analysis. The paper assesses the impact of the environment on student learning objectives in an upper level vehicle dynamics course and presents results from research involving teenage drivers. The paper presents an integrated framework for the use of real-time simulation and large-scale visualization to both study driving behaviors and to discover the impact that design decisions have on vehicle design using a realistic simulated driving interface.

Car dynamics model: design for interactive driving simulation use

2011

Software equipment of interactive vehicle simulators consists of two main parts; a generator of virtual reality (generating 3D graphics and surrounding sound) and a mathematical model of vehicle dynamics. The basic elements of mathematical dynamics model of the vehicle consists first of a physics of an engine and a set of parameterization files that define the current values of the parameters of the vehicle, second of the world which with each particular vehicle can interact. The paper describes the development, implementation and testing of such a mathematical software model, which was subsequently used in the latest driving simulator in the laboratories at the Faculty of Transportation Sciences of the Czech Technical University in Prague.

Experimental and analysis of vehicle dynamics performance based on driving behavior / Mohd Azman Abdullah... [et al.]

Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM), 2017

Most of the time, the dynamic performances of a vehicle is depending on the driving behavior of the driver. The driving behavior can be analyzed from the way they control the vehicle during cornering, accelerating, braking and driving through uneven roads. This paper presents the vehicle dynamics performance analysis based on driving behavior among teenagers' drivers. The analysis was concentrated on how they handle the vehicle that can be seen from the values of moments consists of roll, pitch and yaw and accelerations (vibrations) at x, y and z axes. From the data collected, the dynamic performances of the vehicle were analyzed based on the driving behavior. It can observed that, the aggressive drivers produced significant values in moments and accelerations especially roll moment and vertical acceleration. Significant values in moments and vibrations can compensate the safety part of the driving and serious accident may occur

A new framework for the computer modelling and simulation of car driver behavior

SIMULATION, 2018

In recent years, the simulation of personal car driver behavior has attracted increasing attention in recent research works. Such works are based on models and systems derived from social and psychological studies. The complexity of the simulation of such systems is due to the need for modeling driver behavior and the integration of psychological and physiological factors that can affect driver performance. Although there is only a limited number of models that have been proposed to simulate driver behavior, most of them suffer from limitations pertaining to the integration of some factors, an inadequacy that will be discussed in this paper. This investigation work focuses on the development of a new model for driver behavior simulation based on recent physiological and psychological theories. The model aims to reproduce the driver behavior with respect to some psychological factors. An experimental framework is also presented to build the simulation model. This article concludes by...

Driver Behavior Comparison Between Static and Dynamic Simulation for Advanced Driving Maneuvers

Presence: Teleoperators and Virtual Environments, 2011

In advanced driving maneuvers, such as a slalom maneuver, it is assumed that drivers use all the available cues to optimize their driving performance. For example, in curve driving drivers use the lateral acceleration to adjust the car velocity. The same result can be found in driving simulation. However, for comparable curves drivers drove faster in fixed-base simulators than when actually driving a car. This difference in driving behavior decreases with the use of inertial motion feedback in simulators. Literature suggests that the beneficial effect of inertial cues in driving behavior increases with the difficulty of the maneuver.

A numerical tool for reproducing driver behaviour: Experiments and predictive simulations

Applied Ergonomics, 2010

This paper presents the simulation tool called SDDRIVE (Simple Simulation of Driver performance), which is the numerical computerised implementation of the theoretical architecture describing Driver-Vehicle-Environment (DVE) interactions, contained in Cacciabue and Carsten [Cacciabue, P.C., Carsten, O. A simple model of driver behaviour to sustain design and safety assessment of automated systems in automotive environments, 2010]. Following a brief description of the basic algorithms that simulate the performance of drivers, the paper presents and discusses a set of experiments carried out in a Virtual Reality full scale simulator for validating the simulation. Then the predictive potentiality of the tool is shown by discussing two case studies of DVE interactions, performed in the presence of different driver attitudes in similar traffic conditions.

A Review of Driving Simulation Technology and Applications

IEEE Open Journal of Vehicular Technology, 2021

Driving simulation has become a very useful tool for vehicle design and research in industry and educational institutes. This paper provides a review of driving simulator components, including the vehicle dynamics model, the motion system, and the virtual environment, and how they interact with the human perceptual system in order to create the illusion of the driving. In addition, a sample of current state-of-the-art vehicle simulators and algorithms are described. Finally, current applications are discussed, such as driver-centered studies, chassis and powertrain design, and autonomous systems development.

A simplified behavioral vehicle longitudinal motion model

Transportation Letters: The International Journal of Transportation Research, 2009

The paper develops a simplified behavioral vehicle longitudinal motion model, which has been incorporated in the INTEGRATION software. The paper also derives the relationship between the four traffic stream parameters (freespeed, speed-at-capacity, capacity, and jam density) that ensure the validity of the steady-state model. Using a similar approach, car-following formulations for three other state-of-art models namely, Greenshields, Greenberg and Pipes models, are developed and compared to the proposed model. Subsequently, a comprehensive longitudinal vehicle motion behavior model encompassing steady-state conditions and two constraints -acceleration and collision avoidance -is developed. Finally, the common drawbacks of state-of-the-art car-following models, how these drawbacks are addressed in the INTEGRATION software, and the practical issues that should be considered in modeling vehicle longitudinal motion are presented.

Vehicle dynamics testing in motion based driving simulators

Vehicle System Dynamics, 2019

This article investigates the potential of a motion-based driving simulator in the field of vehicle dynamics testing, specifically for heavy vehicles. For this purpose, a case study was prepared embodying the nature of a truck dynamics test setup. The goal was to investigate if the drivers in the simulator could identify the handling differences owed to changes in vehicle parameters, while driving the simulated trucks. Results show that the drivers could clearly identify the differences in vehicle behaviour for most of the performed tests, which motivates further investigative work in this area and exposes the feasibility of heavy vehicle dynamics testing in simulators.