Autonomous Driving Research

ADR is currently working on and/or defining the following research projects for analysis:

• ADV Test Case Database: Defining use case scenarios for all normal and anomaly driving situations under L2-L4 ADV operations. (in progress)
• Vehicle Throughput Analysis: Understanding potential impact of ADV behavior on existing roadway traffic. (req. phase)
• Driver Psychology Impact Study: Defining the mental roadblocks current drivers will have with new ADV & ADAS technologies. (req. phase)

The drivers and operators of Autonomous Vehicles will require new mental models of traffic flow, interactions with the vehicle, interactions with other vehicles, and new human transport models. ADR will research the following:

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  Driver Psychology: How will existing drivers embrace ADV’s; How will their perceptions of driving change in regards to previous known mental models?

• Driver Behavior: What new behaviors will arise from the use of ADV’s? Will stress levels decrease, productivity increase, and fatalities approach zero? Or will operators become frustrated with the ADV’s learning curve to match human drivers?
• Destination Input and Management: How will drivers interface with ADV’s efficiently to mimic or improve on communicating destinations to ADV’s? Given the tedious GPS destination inputs today, how can we streamline this so the ADV becomes an extension of us?