Horizontal Traffic Queues

Savla: Horizontal Traffic Queues

March 15, 2019

Ketan SavlaKetan Savla, of University of Southern California, presented Horizontal Traffic Queues at the ITS Transportation Seminar March 15, 2019 at 4 p.m. in 290 Hearst Memorial Mining Building.


The service paradigms typically used in queuing frameworks for transportation systems do not have sufficient resolution to model emerging automation technologies at the microscopic scale. Such inadequacies can translate into erroneous performance estimates at the system scale, e.g., in terms of capacity, travel time, or waiting time. We advocate a state-dependent queuing paradigm, and present our work in this context for canonical transportation settings. Specifically, we generalize existing notions of spatial, vacation, and processor sharing queues to enable accurate performance evaluation for dynamic vehicle routing, signalized traffic intersections, and freeway traffic, respectively. A recurrent theme is to identify limiting scenarios that lend themselves to analytical or computational tractability, and compare against existing methodologies in practical regimes.

Ketan Savla is an associate professor and the John and Dorothy Shea Early Career Chair in Civil Engineering at USC, with joint appointment in the Departments of Civil and Environmental Engineering, Electrical Engineering-Systems, and Industrial and Systems Engineering. Before joining USC, he was a research scientist in the Laboratory for Information and Decision Systems at MIT. He received his PhD in Electrical and Computer Engineering from the University of California at Santa Barbara. His current research interest is in distributed robust and optimal control, dynamical networks, state-dependent queuing systems, and incentive design, with applications in civil infrastructure and autonomous systems. His recognitions include NSF CAREER, an IEEE CSS George S. Axelby Outstanding Paper Award, and AACC Donald P. Eckman Award.