As part of a team from the Berkeley Lab, Partners for Advanced Transportation Technology Researcher Xiao-Yun Lu participated in a demonstration to the US Department of Energy, US Department of Transportation and the National Highway Transportation Safety Administration on Oct. 23, 2024 at American Center for Mobility (ACM) in Michigan
This project, led by the Lawrence Berkeley National Lab (LBNL), also includes Argonne National Lab and National Recyclable Energy Lab (NREL.)
The project’s objective is to use Connected Automated Vehicles (CAVs) with V2X connectivity as mobile sensors and regulators to affect the traffic flow to achieve system level mixed traffic optimization in energy consumption, emission reduction and mobility & safety improvements.
To this aim, researchers have implemented Cooperative Adaptive Cruise Control (CACC) on three passenger cars with different powertrains (IC engine, hybrid and EV) and integrated with real-time microscopic simulation of mixed traffic with both manually driving and CAVs. The project has successfully integrated the overall system (as shown in Figure 1), field tested HIL and demonstrated to US DOE and US/DOT/NHTSA on Oct. 23, 2024 at American Center for Mobility (ACM) in Michigan.
In addition to the CAV integration with traffic signal control, researchers also successfully demonstrated three CACC cars cut-in and cut-out maneuvers and Coordinated Emergency Braking for longitudinal Collision Avoidance. The test track and six intersection traffic controller and signals are indicated in Figure 1.
Figure 1 Tentative locations of 6 traffic signals along the ACM test track (Left); available traffic control cabinet of ACM facility (right)