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Implementing and Testing Connected Vehicle-to-Everything and Traffic Signal Operations in Virtual Reality

This research proposal focuses on the innovative integration of multimodal transportation management and advanced signal control within a virtual reality (VR) environment to enhance the safety, and efficiency of traffic operations on arterial roadways heavily utilized by pedestrians and bicyclists. This study, conducted by the University of Pittsburgh and the University of Virginia, leverages a high-fidelity VR simulation of Delaware Avenue—a vital multimodal corridor. The project aims to test and refine traffic control strategies that incorporate Connected-Everything Identification System (CEIS) technologies, catering specifically to the nuanced demands of multimodal traffic. The project will use VR to simulate real-world conditions, allowing researchers and participants to explore the impact of various traffic scenarios on user comfort, safety perceptions, and overall level of service. By integrating innovative traffic signal controls and CEIS operations, the project seeks to provide a balanced level of service across different transport modes, focusing on enhancing the experience and safety of non-motorized users.