New York, with its unique culture of urban mobility innovation, global interconnectedness, and shifting demographics, offers an important locale for identifying strategies for and barriers to integrated, multimodal system environments that are supportive of self-driving vehicles, multiple additional emerging technologies, new policies and predictive analytics that encompass critical behavioral science insights.

Connected and automated vehicles (CAVs) and shared mobility transitions are increasingly recognized as having potential to transform energy consumption and mobility dynamics through mechanisms such as improved efficiency, better routing, and lower traffic congestion, and by enabling advanced technologies. However, CAVs also have the potential to increase fuel consumption through effects such as longer distances traveled, increased use of transportation to previously less accessible locations and increased trips by underserved populations, as well as increased travel speeds.

This project aims to assess the impacts of self-driving vehicles within and across the state of New York, with emphasis on synergies between automated, shared and electric vehicle transportation transformations. With support from state and local planners/DOTs, “Mobility as a Service” providers, transit agencies and rural-to-urban jurisdictions, this project aims to assess the impacts of shared and selfdriving vehicles within and across the state of New York, with emphasis on designing energy-efficient systems and planning for synergies between automated, shared and electric vehicle transportation tra nsformations.