Driving Simulation

Gruening, James; Bernard, J. E.; Clover, Chris; Hoffmeister, Kurt

doi:10.4271/980223

Cited by 14 publications

(10 citation statements)

References 14 publications

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“…The random variables are correlated with each other and this correlation is shown by function . The in (9) indicates the correlation between the values at x and x (i) . Therefore, the f(x) which is the first part in (8) globally approximates the design space and the second part ( ) creates localized deviations so that the Kriging model interpolates the n sampled data points.…”

Section: Krigingmentioning

confidence: 99%

“…Most of the time f(x) is simply considered to be a constant value [30][31][32]. The in (9) can be derived from the data by solving a system of linear equations. The random variables are correlated with each other and this correlation is shown by function .…”

Section: Krigingmentioning

confidence: 99%

“…However, the simplification definitely decreases the accuracy of vehicle dynamic model responses comparing to real vehicle motions. According to [9], the ability to run the system in real-time depends on the integration time step and the complexity of the vehicle dynamic model. The determination of the level of computational complexity in VDM plays a major role in achieving real time driving simulation.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Reduction of computational cost in driving simulation subsystems using approximation techniques

Fouladinejad

Jalil

Taib

2014

2014 International Conference on Industrial Automation, Information and Communications Technology

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Driving simulators are practical simulation tools in studying vehicle behavior and driver reaction in a safe and controllable condition. The development of a real time driving simulator evolves into complex highly integrated and interdependent systems that require vast amount of computer memory and computational time. This paper provides a study of employing approximation techniques in optimizing the computationally expensive simulation systems. Using the approximation techniques, a surrogate model can be constructed and used in the lieu of original codes. It can obviate the computational cost of highly integrated systems. A variety of approximation techniques can be used to simplify multidisciplinary simulations. In this paper, some well-known approximation techniques were reviewed including design of experiments, polynomial response surfaces, Kriging models and neural networks. A thorough review and study of various types of approximation techniques were made to construct efficient surrogate models for simulation subsystems. A surrogate assisted driving simulator (SADS) framework is then proposed that can significantly reduce the computational burden and achieve reasonable accuracy.

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Section: Krigingmentioning

confidence: 99%

Section: Krigingmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Reduction of computational cost in driving simulation subsystems using approximation techniques

Fouladinejad

Jalil

Taib

2014

2014 International Conference on Industrial Automation, Information and Communications Technology

View full text Add to dashboard Cite

show abstract

“…Driving simulation is a complex task that requires the following four basic components, Gruening et al (1998):…”

Section: Driving Simulation Challengesmentioning

confidence: 99%

Advanced Driver Fatigue Research

Eskandarian¹,

Sayed²,

Delaigue³

et al. 2007

PsycEXTRA Dataset

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“…The principal senses requested during the driving task are (Gruening et al, 1998;Kemeny and Panerai, 2003):…”

Section: Proposed Methodologymentioning

confidence: 99%

The Effects of the Use of Serious Game in Eco-Driving Training

Hrimech¹,

Beloufa

Merienne

et al. 2016

Front. ICT

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Serious games present a promising approach to training and learning. The player is engaged in a virtual environment for a purpose beyond pure entertainment, all while having fun. In this paper, we investigate the effects of the use of serious game in eco-driving training. An approach has been developed in order to improve players' practical skills in terms of eco-driving. This approach is based on the development of a driving simulation based on a serious game, integrating a multisensorial guidance system with metaphors including visual messages (information on fuel consumption, ideal speed area, gearbox management, etc.) and sounds (spatialized sounds, voice messages, etc.). The results demonstrate that the serious game influences positively the behavior of inexperienced drivers in ecological driving, leading to a significant reduction (up to 10%) of their CO2 emission. This work brings also some guidelines for the design process. The experiences lead to a determination of the best eco-driving rules allowing a significant reduction of CO2 emission.

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Driving Simulation

Cited by 14 publications

References 14 publications

Reduction of computational cost in driving simulation subsystems using approximation techniques

Reduction of computational cost in driving simulation subsystems using approximation techniques

Advanced Driver Fatigue Research

The Effects of the Use of Serious Game in Eco-Driving Training

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