North Carolina Department of Transportation
Research & Innovation Summit – 2020

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Investigating the Effect of Connected and Automated Vehicles on Urban Arterial Road Operational Performance

Authors: Sarvani V. Duvvuri, M.S., Sonu Mathew, Ph.D., and Srinivas S. Pulugurtha, Ph.D., P.E., F.ASCE
UNCC
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Objective

The emergence and penetration of Connected and Automated Vehicles (CAVs) is anticipated to improve the operational performance of transportation network. Since CAVs are not yet present in traffic streams, with the exception of a few test vehicles, commenting on their effect on urban traffic streams are unfathomable at the moment.

Urban arterial corridors are generally characterized by closely spaced intersections with different types of control, high traffic volumes, and access points. Heterogeneous conditions are anticipated due to various types of motorized and non-motorized users (pedestrians & bicyclists). Further, with the introduction of CAVs, the complexity is expected to increase with their penetration into the transportation network.

This research aims to evaluate the operational performance of CAVs on urban arterials at varying penetration rates using a microscopic traffic simulation software. A 2.5-mile urban arterial corridor with eight signalized intersections in the city of Charlotte, North Carolina, was considered for modeling and evaluation.

 

 

Poster Presentation by Author

For questions about this research, contact Sarvani V. Duvvuri at sduvvuri@uncc.edu.