Urban intersections, merging roadways, roundabouts, and speed reduction zones
along with the driver responses to various disturbances are the primary sources
of bottlenecks in corridors that contribute to traffic congestion. The
implementation of connected and automated technologies can enable a novel
computational framework for real-time control aimed at optimizing energy
consumption and travel time. In this paper, we propose a decentralized
energy-efficient optimal control framework for two adjacent intersections. We
derive a closed-form analytical solution that includes interior boundary
conditions and evaluate the effectiveness of the solution through simulation.
Fuel consumption and travel time are significantly reduced compared to the
baseline scenario designed with conventional fixed time signalized
intersections.