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Identification of Visual Cues and Quantification of Drivers' Perception of Proximity Risk to the Lead Vehicle in Car-Following Situations

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References

1996The Information That Drivers Use: Is it Indeed 90% Visual?409 cited
1956A Least Squares Solution for Paired Comparisons with Incomplete Data111 cited

Cited by

2017Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving138 cited
2014Temporal fluctuations in driving demand: The effect of traffic complexity on subjective measures of workload and driving performance115 cited
2016A review of human sensory dynamics for application to models of driver steering and speed control108 cited
2022Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles103 cited
2016Towards trustworthy automation: User interfaces that convey internal and external awareness56 cited
2017Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing53 cited
2021A risk field-based metric correlates with driver’s perceived risk in manual and automated driving: A test-track study51 cited

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