Connected automated vehicles (CAVs) have untapped potential to regulate mixed traffic by
orchestrating the movement of human-driven vehicles (HVs) at intersections. This research …

Integration of artificial intelligence and wireless communication technologies in Connected
Automated Vehicles (CAVs) enables coordinating the movement of the platoons of CAVs at …

Traffic signal control is critical for traffic efficiency optimization but is usually constrained by
traffic detection methods. The emerging V2I (Vehicle to Infrastructure) technology is capable …

Coordinating the movement of Connected Automated Vehicles (CAVs) can significantly
improve traffic operations at signal-free intersections. However, we show there is a tradeoff …

Advances in connected and autonomous vehicle (CAV) technologies have made signal-free
intersections a viable option for enhancing traffic performance. In the absence of traffic …

The signal-free intersections employ connected and automated vehicle technology to
manage vehicles passing through the intersection. Due to conflicting traffic flows in …

Metro transit is the core of urban transportation, and the mobility analysis of metro ridership
can contribute to enhance the overall service level of the metro transit. Researchers studying …

Macroscopic traffic models provide a simplified framework for analyzing and controlling
traffic at the network level. Among these models, the trip-based macroscopic fundamental …

Intersections often become bottlenecks, leading to delays due to stop-and-go operations for
navigating conflicting traffic movements. Connected and autonomous vehicles (CAVs) are …

Integration of artificial intelligence and wireless communication technologies in Connected
Automated Vehicles (CAVs) enables coordinating the movement of the platoons of CAVs at …