Center for Transformative Infrastructure Preservation and Sustainability

Project Details

The Impact of Connected and Autonomous Vehicle Technologies on North Dakota's Highway Infrastructure
Principal Investigators:
Sherif Moustafa Gaweesh
University of North Dakota
Grant #:
69A3552348308 (IIJA / BIL)
Project #:
RiP #:
autonomous vehicles, connected vehicles, impacts, implementation, microsimulation, rural areas


As the transportation landscape evolves, the integration of Connected and Autonomous Vehicle (CAV) technologies into highway infrastructure becomes increasingly critical. This proposal outlines research needs, objectives, methods, and expected outcomes regarding CAV implementation, particularly in rural areas like North Dakota. It emphasizes understanding the impact of CAVs on infrastructure, operations, safety, maintenance, and environment. Challenges, both technical and non-technical, are identified, underscoring the importance of proactive preparation.

The research objectives include synthesizing regulatory frameworks, assessing infrastructure needs, and evaluating CAV impacts through microsimulation modeling and safety assessments. Expected outcomes encompass valuable insights for policy development, infrastructure enhancement, and public acceptance strategies. Aligning with US Department of Transportation goals, this research aims to enhance safety, sustainability, and transportation efficiency.

The proposed work plan spans literature review, regulatory analysis, infrastructure assessment, microsimulation modeling, safety evaluation, expert review, and recommendation documentation. Through comprehensive analysis and stakeholder engagement, this research aims to provide actionable recommendations for navigating the CAV integration landscape, ensuring safe and efficient deployment within North Dakota's highway system.

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