  Automated vehicles, or AVs (i.e. those that have the ability to operate
without a driver and can communicate with the infrastructure) may transform the
transportation system. This study develops and simulates an algorithm that can
optimize signal control simultaneously with the AV trajectories under
undersaturated traffic flow of AV and conventional vehicles. This proposed
Intelligent Intersection Control System (IICS) operates based on real-time
collected arrival data at detection ranges around the center of intersection.
Parallel to detecting arrivals, the optimized trajectories and signal control
parameters will be transmitted to AVs and the signal controller to be
implemented. Simulation experiments using the proposed IICS algorithm
successfully prevented queue formation up to undersaturated condition.
Comparison of the algorithm to operations with conventional actuated control
shows 38-52% reduction in average travel time compared to conventional signal
control.
