Off-road Vehicle Dynamics

2010 ◽  
pp. 21-42
Author(s):  
Francisco Rovira Más ◽  
Qin Zhang ◽  
Alan C. Hansen
Keyword(s):  
Vehicle Dynamics ◽  
Road Vehicle

Motion Simulation Experiments for Driver Behavior and Road Vehicle Dynamics

2011 ◽  
Vol 11 (4) ◽  
Author(s):  
Kemper Lewis ◽  
Kevin Hulme ◽  
Edward Kasprzak ◽  
Deborah Moore-Russo ◽  
Gregory Fabiano
Keyword(s):  
Vehicle Dynamics ◽  
Large Scale ◽  
Driving Simulation ◽  
Vehicle Design ◽  
Simulation Environment ◽  
Learning Mechanisms ◽  
Road Vehicle ◽  
Wide Range ◽  
Traffic Systems ◽  
The Impact

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 real-world 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.

Road Vehicle Dynamics Problems and Solutions

10.4271/r-386 ◽  
2010 ◽  
Author(s):  
Rao V Dukkipati ◽  
Jian Pang ◽  
Mohamad S Qatu ◽  
Gang Sheng Chen ◽  
Zuo Shuguang
Keyword(s):  
Vehicle Dynamics ◽  
Road Vehicle ◽  
Problems And Solutions ◽  
Dynamics Problems

The Application of Multi-Body Computer Codes to Road Vehicle Dynamics Modelling Problems

1994 ◽  
Vol 208 (1) ◽  
pp. 55-61 ◽  
Author(s):  
R S Sharp
Keyword(s):  
Vehicle Dynamics ◽  
Equations Of Motion ◽  
Reference List ◽  
Modes Of Operation ◽  
Road Vehicle ◽  
Computer Codes ◽  
Dynamics Modelling ◽  
Multi Body ◽  
Dynamics Problems ◽  
Modelling Problems

Issues involved in the automation of the mathematical modelling of multi-body systems with special reference to road vehicle dynamics problems are discussed and reviewed. Some background and historical informations are provided. Those aspects of road vehicle dynamics problems that are of greatest concern from the point of multi-body modelling and rapid simulation are then considered. Various foundations for the equations of motion of multi-body systems and the treatment of constraints are described and some of the implications of methods chosen are exposed. Significant aspects of the modes of operation of the main relevant numerical and symbolic multi-body modelling codes are addressed. Conclusions are reached on the present state of multi-body modelling as relating to road vehicle dynamics and some thoughts on strategies for effectiveness in the future are offered. A substantial reference list, through which the topic can be pursued in greater detail, is included.

Off-road Vehicle Dynamics

2017 ◽  
Author(s):  
Hamid Taghavifar ◽  
Aref Mardani
Keyword(s):  
Vehicle Dynamics ◽  
Road Vehicle

Hierarchical Hybrid Predictive Control of an Autonomous Road Vehicle

2015 ◽  
Author(s):  
Qian Wang ◽  
Thomas Weiskircher ◽  
Beshah Ayalew
Keyword(s):  
Decision Making ◽  
Predictive Control ◽  
Particle Motion ◽  
Vehicle Dynamics ◽  
Finite State Machine ◽  
Road Vehicle ◽  
Reduced Order ◽  
Control Framework ◽  
Finite State ◽  
Trajectory Guidance

This paper presents a hierarchical hybrid predictive control framework for an autonomously controlled road vehicle. At the top, an assigner module is designed as a finite state machine for decision-making. Based on the current information of the controlled vehicle and its environment (obstacles, and lane markings, etc), the assigner selects discrete maneuver states through pre-defined switching rules. The several maneuver states are related to different setups for the underlying model predictive trajectory guidance module. The guidance module uses a reduced-order curvilinear particle motion description of the controlled vehicle and obstacle objects as well as a corresponding description of the reference path, lane and traffic limits. The output of the guidance module interfaces with the lower level controller of the continuous vehicle dynamics. The performance of the proposed framework is demonstrated via simulations of highway-driving scenarios.

Off-Road Vehicle Dynamics

1981 ◽  
Vol 10 (4-5) ◽  
pp. 253-266 ◽  
Author(s):  
D. A. Crolla
Keyword(s):  
Vehicle Dynamics ◽  
Road Vehicle
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