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Abstract
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.
Highlights
The concept of simulation can be defined as the emulation of a specific behavior through a generic imitating system [1]
The results show that the most fuel-efficient behavior is achieved when drivers are provided guiding force feedback compared to a system that provided increased firmness
This review has explained the mechanisms of driving simulation technology by describing each system in the architecture
Summary
The concept of simulation can be defined as the emulation of a specific behavior through a generic imitating system [1]. Motion simulation technology would not be restricted to flight training for long, It is not clear though which driving simulator was the first to appear, some researchers acknowledge the system designed in [3], published in 1934 but given the simple architecture of this traffic simulator some authors prefer to point out later works as the real beginning of relevant developments of driving simulators. This work contributes to providing a comprehensive review of the past and current state-of-the-art technologies, driving simulator examples, and applications. Former reviews of this kind can be found in [6], where a thorough survey of relevant simulators at that time was conducted.
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