  Recent work in decentralized, schedule-driven traffic control has
demonstrated the ability to improve the efficiency of traffic flow in complex
urban road networks. In this approach, a scheduling agent is associated with
each intersection. Each agent senses the traffic approaching its intersection
and in real-time constructs a schedule that minimizes the cumulative wait time
of vehicles approaching the intersection over the current look-ahead horizon.
In this paper, we propose a cooperative algorithm that utilizes both connected
and autonomous vehicles (CAV) and schedule-driven traffic control to create
better traffic flow in the city. The algorithm enables an intersection
scheduling agent to adjust the arrival time of an approaching platoon through
use of wireless communication to control the velocity of vehicles. The sequence
of approaching platoons is thus shifted toward a new shape that has smaller
cumulative delay. We demonstrate how this algorithm outperforms the original
approach in a real-time traffic signal control problem.
