Fan, Wei; and Shaojie Liu
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Developments in wireless communication and artificial intelligence technologies have shown potential for increasing road capacity with Connected and Automated Vehicles (CAVs). Researchers used a simulation-based approach to further explore the impact of CAVs on the operational performance of innovatively designed intersections known as superstreets or restricted crossing U-turn intersections, which have fewer conflict points than traditionally designed intersections. A superstreet network from Leland, North Carolina was modeled in the SUMO microsimulation platform using previously collected traffic volume data.

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Prepared by University of North Carolina at Charlotte for Center for Advanced Multimodal Mobility Solutions and Education University Transportation Center
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Impact of Connected and Autonomous Vehicles on Nontraditional Intersection Design: Superstreets
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