Modeling & Implementation

As CAV technologies provide new paradigms for the future transportation system, there is an urgent need for models that can predict traffic flow under different levels of vehicle connectivity and automation. Hence, CCAT’s modeling and implementation cross-cutting thrust area is motivated by two key aspects. First, consistent with a future transportation system characterized by CAV technologies, there is the need for models that can evaluate the performance and characteristics of CAV-based transportation systems. Second, CCAT’s unparalleled resources such as Mcity and Ann Arbor Connected Vehicle Test Environment (AACVTE) provide the team immediate opportunities to test models in a real-world environment. Hence, the cross-cutting activities related to model development and field implementation, provide us unique opportunities to implement and test models in the field, and use the field data to refine, calibrate and validate models. This enables the development of models that can test “what-if” scenarios of capabilities before they are deployed in the real-world by transportation agencies and the auto industry. The modeling research will focus on bringing the automation and connectivity capabilities for the evaluation of transportation system safety and performance in connected environments, and with different levels of automation.

Research Focusing on Modeling & Implementation

Real‐Time Distributed Optimization of Traffic Signal Timing
Principal Investigator:
Yafeng Yin, Siqian Shen, & Henry Liu
Research Thrusts: Control & OperationsEnabling TechnologyModeling & Implementation
Ride-sharing with Advanced Air Mobility
Principal Investigator:
Daniel DeLaurentis & Dengfeng Sun
Research Thrusts: Control & Operations, Enabling TechnologyModeling & Implementation