Author
Fan, Wei; and Shaojie Liu
Benefit Summary HTML

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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No
Pages
62
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Publisher
Prepared by University of North Carolina at Charlotte for Center for Advanced Multimodal Mobility Solutions and Education University Transportation Center
Result Type
Title
Impact of Connected and Autonomous Vehicles on Nontraditional Intersection Design: Superstreets
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