R. Agrawal

Publications16
h-index5
Citations84
Highly Influential Citations8
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Multiscale Experiments: State of the Art and Remaining Challenges
In this article we review recent advances in experimental techniques for the mechanical characterization of materials and structures at various length scales with an emphasis in the submicron- and… Expand
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Effectiveness of visual warnings on young drivers hazard anticipation and hazard mitigation abilities.
Previous studies have demonstrated that young drivers fail both to scan for and mitigate latent hazards mostly due to their cluelessness. This study aims to investigate whether these skills could be… Expand
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Effects of Alert Cue Specificity on Situation Awareness in Transfer of Control in Level 3 Automation
Drivers in a Level 3 automation environment typically need at least 8 s following a manual takeover request to achieve appropriate levels of situation awareness. Studies that have derived this time… Expand
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Effects of a Change in Environment on the Minimum Time to Situation Awareness in Transfer of Control Scenarios
From previous experiments, it is known that control must be transferred to the driver in a Level 3 vehicle at least 8 s before the driver passes a latent hazard for the driver to be as aware of the… Expand
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Effective cues for accelerating young drivers' time to transfer control following a period of conditional automation.
OBJECTIVE During conditional automated driving, a transition from the automated driving suite to manual control requires the driver to take over control at a moment's notice. Thus, it is critical… Expand
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Advanced Virtual Reality Based Training to Improve Young Drivers’ Latent Hazard Anticipation Ability
The crash rate for young novice drivers is at least eight times higher than that of their experienced counterparts. Literature shows that the young novice drivers are not careless drivers but they… Expand
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Virtual Reality Headset Training: Can It Be Used to Improve Young Drivers’ Latent Hazard Anticipation and Mitigation Skills
Young drivers are overrepresented in motor-vehicle crashes compared to experienced drivers. Research shows that young drivers are generally clueless, not careless, failing to anticipate and mitigate… Expand
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Evaluation of a Training Intervention to Improve Novice Drivers’ Hazard Mitigation Behavior on Curves
Newly licensed teenage drivers experience a higher risk of crashing compared to other age cohorts. Literature reveals that novice drivers exhibit poor hazard mitigation skills. The current study… Expand
Supervised neighborhood selection and MIP-based primal heuristics
Effects of Sample Size on Goodness-of-Fit Statistic and Confidence Intervals of Crash Prediction Models Subjected to Low Sample Mean Values
The statistical relationship between motor vehicle crashes and covariates can generally be modeled via generalized linear models (GLMs) with logarithmic links with errors distributed in a Poisson or… Expand