The University of Iowa
University of Central Florida
University of Massachusetts - Amherst
University of Puerto Rico - Mayaguez Campus
University of Wisconsin - Madison
Daniel V. McGehee
David A. Noyce, Ph.D., P.E.
Didier M Valdes Diaz, Ph.D.
Michael A. Knodler, Jr., Ph.D
Mohamed Abdel-Aty, Ph.D., P.E.
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A Driving Simulator Evaluation of Red Arrows and Flashing Yellow Arrows in Right Turn Applications
Permissive left-turn and right-turn intervals have historically been communicated to drivers using nearly every traffic signal indication available, including the circular green (CG), flashing circula ...
Examining Distracted Drivers' Underestimation of Time and Overestimation of Speed
First, it is the case that humans are not all that good at estimating the length of a given interval of time even under the best of circumstances (Zimbardo & Boyd, 1999). Interval length estimation is ...
Integrating Traffic Control Devices via Augmented Reality
Traffic Control Devices (TCD’s) are integral to driver-to-infrastructure (D2I) and vehicle-to-infrastructure (V2I) interactions. Yearly, the installation and maintenance of these various TCD’s cos ...
Multi-modal Distributed Simulation Combining Cars, Bicyclists, and Pedestrians
Driving, bicycling, and pedestrian simulators have proven to be valuable tools for investigating the underlying causes of crashes and testing various engineering and education countermeasures designed ...
Perception of Time Influences on Driver Speed Selection
In the United States, traffic crashes claim the lives of 30,000 people every year and is the leading cause of death for 5-24 year olds. Speed selection is a crucial task for human drivers and is one o ...
Speeding on Curves & Potential Countermeasures: A Driving Simulator Assessment
Curves are typically associated with an increased safety risk with over 25 percent of all fatal crashes attributed to curves. Single-vehicle run of the road crashes account for approximately 70 percen ...
The Impact of Vehicle Automation on the Safety of Vulnerable Road Users (Pedestrians and Bicyclists)
Autonomous systems are capable of transforming society with their ability to reduce risks and costs and improve efficiency. However, there are several challenges associated with the deployment of such ...
To Trust or Not to Trust? A Simulation-based Experimental Paradigm
Human error has been cited as a causal factor in 94 percent of vehicle crashes (Singh 2015). Automated vehicle technology promises to help decrease that share by at least partial takeover of vehicle c ...