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Abstract
In order to remove the current excess capacity requirements associated with storing vehicles during normal business hours, "staging" areas should be located and understood to serve as refueling stations, locations for transferring goods for local distribution, or areas where maintenance on the vehicle inventory can occur. Data analytics on such fleet management datasets are a critical part of planning and operating efficient and high-capacity shared-AV programs. However, the spatial and temporal resolution at which such data must be stored and visualized can threaten to invade the privacy of the riding public. The insertion of privacy-preserving technologies into the data processing pipeline can serve as a protective measure.
Autonomous vehicles (AVs) have the potential to provide a radically increased level of mobility, but they also have the potential to have a negative environmental impact. AVs can have an extremely high utilization, one that can arguably outstrip the capacity of public transportation in urban areas, particularly as more AVs become electric. Simultaneously, a shift to a mobility ecosystem dominated by autonomous vehicles, particularly one where emergency vehicle services are not constrained by congestion, could dramatically improve public safety.
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