Evaluation of Advanced Vehicle and Communication Technologies through Traffic Microsimulation
Research Team
Dr. Pruthvi Manjunatha (UF)
Dr. Lily Elefteriadou (UF)
Dr. Michael Hunter (GaTech)
Dr. Huaguo Zhou (Auburn)
Dr. Shirin Noei (TTU)
Dr. Angshuman Guin (GaTech)
Dr. Abhilasha Saroj (GaTech)
What is the current issue? Two main factors contribute to delay at traffic signals causing congestion. One source of delay at signals is inefficient green time utilization in response to fluctuating demand. Another source is driver reaction-related delays. The use of connected and autonomous vehicle (CAV) technology has the potential to reduce the impact of these two factors through the use of their communication capability as well as the potential to fully control autonomous vehicle trajectories.
What will the research produce? To test the impact of these technologies, it is necessary to develop a simulation environment capable of accurately modeling CAVs as well as the behavior of human driven vehicles in the presence of CAVs. It is expected that the research will generate 1) a simulation extension in VISSIM that can be used as “plug and play” solutions to model advanced CAV based strategies; 2) a simulation extension in SUMO that can be used as “plug and play” solutions to model advanced CAV based strategies; and 3) training materials on simulation modeling of CAVs.