STRIDE Project G3

STRIDE Project G3

Utilization of Connectivity and Automation in Support of Transportation Agencies’ Decision Making

Dr. Mohammed Hadi, FIU

Research Team

Mohammed Hadi, Florida International University
Nagui Rouphail, North Carolina State University
Lily Elefteriadou, University of Florida
Virginia Sisiopiku, University of Alabama at Birmingham
Angshuman Guin, Georgia Institute of Technology
Michael Hunter, Georgia Institute of Technology
Behzad Aghdashi, North Carolina State University
Tao Wang, Florida International University

UTC Project Info

Connected vehicles (CV), autonomous vehicles (AV), and connected automated vehicles (CAV) promise transformative changes in transportation system performance. Agencies need the capability to assess the planning, design, operations, and management implications of the presence of such vehicles with different levels of connectivity and automation on system performance. In addition, agencies need to assess the impacts of these technologies so that they can deploy them, or seek to inform or leverage their deployment, such that they improve the performance of the transportation system. This capability is particularly critical in the transition phase where a mixture of CAV’s and human-driven vehicles are likely to interact for at least the next decade or two and where there is insufficient real-world data to adequately guide such decisions. For decades, transportation system analysts have used modeling tools to estimate and forecast system performance. However, the introduction of emerging vehicle technologies such as CVs and AVs requires significant updates of and extensions to the existing tools and the development of a framework and guidance for the use of these tools. Researchers around the world are using simulation and developing new models to assess CAV impacts. Nevertheless, significant efforts must be marshalled to validate the existing work using field data, determine additional needed modifications and extensions to existing models, and develop new models and methods that reflect field performance of advanced vehicle technologies. In addition, there is a need to produce guidelines on the use of simulation tools in CAV evaluation to ensure that the models and tools are used in a consistent, robust and realistic manner. The research team will engage public and private agency staff and industry stakeholders to guide this research, to solicit field data, and to ensure dissemination and deployment of the guidelines and tools developed.