Traffic control and management

Traffic control and management applies systems engineering principles to understand and regulate how vehicles move through road networks, spanning everything from the behavior of individual drivers to the aggregate flow of thousands of vehicles across a city. Researchers use tools ranging from microscopic simulation—which models each vehicle's acceleration and lane changes in detail—to macroscopic frameworks like the Fundamental Diagram, which describes network-wide flow as a function of density. The rise of connected and automated vehicles has opened new possibilities, such as cooperative adaptive cruise control and platooning, where vehicles share real-time data to move in tight, coordinated convoys that reduce congestion and fuel consumption. Central open questions include how to design traffic signal strategies and vehicle coordination algorithms that remain robust when only a fraction of vehicles are connected, and how reinforcement learning can discover control policies that outperform hand-crafted rules in complex, dynamic conditions.

Works

63,701

Total citations

793,762

Keywords

Traffic FlowMicroscopic SimulationCooperative Adaptive Cruise ControlConnected VehiclesTraffic Signal ControlPlatooning