High sharing/low automation leads to approximately 20% energy savings, compared to approximately 20% energy increase for low sharing/high automation scenarios.

A comprehensive study of the Chicago metropolitan area indicates that a 50 percent penetration of personally owned, highly automated vehicles may increase vehicle miles traveled (VMT) by up to 25 percent, increasing highway congestion and reducing system efficiency. However, wide adoption of ride-sharing in this highly automated future could mitigate these negative impacts, reducing VMT by 18 percent, reducing congestion, and improving system efficiency by 44 percent, in terms of productive miles of travel per unit of energy.

For additional information, you can read and download the SMART Mobility Modeling Workflow Development, Implementation, and Results Capstone report.

Related Expertise

Travel Demand Modeling Transportation Supply Modeling Freight Modeling SMART Mobility Workflow Vehicle Energy Consumption and Cost

Related Tools

POLARIS SVTrip Autonomie Suite

Contact

Josh Auld, [email protected]

Market Analytics (From Data)

Research Analytics (From Model)

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POLARIS User Group

Shared Connected and Automated Vehicles Enable High System Efficiency

High sharing/low automation leads to approximately 20% energy savings, compared to approximately 20% energy increase for low sharing/high automation scenarios.