Transportation

Analysis and Modeling of Worker Trust in Automated Guided Vehicles for Manufacturing Workplace
Automated guided vehicles (AGVs) still struggle to earn operator trust on manufacturing floors. We ran a simulator study that varied …
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Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result
Conditionally automated vehicles still rely on drivers to retake control when something unexpected emerges. We cataloged hazard types …
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Toward Integrated Takeover Performance Measurement: Validation of Fréchet Distance as a Takeover Performance Metric
We validate Fréchet Distance as a unified takeover performance metric for conditionally automated driving. Thirty-two drivers completed …
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Measuring and Predicting Drivers' Takeover Readiness and Supporting Takeover Transitions in Automated Driving
This AAA Foundation report documents two studies that help drivers handle conditionally automated (Level 3) takeovers. Part one mines …
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FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
An ego vehicle following a virtual lead vehicle planned route is an essential component when autonomous and non-autonomous vehicles …
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Analysis of Driver Behavior in Mixed Autonomous and Non-autonomous Traffic Flows
Autonomous vehicles are expected to improve road safety and efficiency in future transportation systems. A driving simulator study was …
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An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems
Vehicle automation seeks to enhance road safety and improve the driving experience. However, a standard system does not account for …
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Clustering Human Trust Dynamics for Customized Real- time Prediction
Trust calibration is necessary to ensure appropriate user acceptance in advanced automation technologies. A significant challenge to …
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Predicting Interstate Motor Carrier Crash Rate Level using Classification M odels
Ensuring safe operations of large commercial vehicles (motor carriers) remains an important challenge, particularly in the United …
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