Professor Savla has a broad interest in performance analysis and optimization of a variety of transportation systems, from urban traffic to logistics. His group designs tools at the interface of control theory, queuing theory, network flow, and game theory to facilitate analysis and control. The emphasis is on integrating canonical features from transportation systems to extend the applicability of these tools beyond their traditional domains of communication and manufacturing systems. This has also given us an understanding of the spatio-temporal redundancy in the information required about system parameters (e.g., geometric properties, traveler behavior, demand) and real-time state (e.g., congestion, incidents) for various performance metrics. This information has direct implications for data acquisition and processing. He collaborates with IMSC to apply these techniques to arterial and freeway networks, including connected and autonomous vehicles, as well as to dynamic vehicle routing.
M. Motie and K. Savla, “On a Vacation Queue Approach To Queue Size Computation for a Signalized Traffic Intersection”, Proceedings of the IFAC World Congress, Toulouse, France, 2017.
Q. Ba and K. Savla, “On Distributed Computation of Optimal Control of Traffic Flow over Networks”, Proceedings of the Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2016.
M. Motie and K. Savla, “Throughput and Service Rate Analysis of a Horizontal Traffic Queue”, Proceedings of the IEEE Conference on Decision and Control, Las Vegas, NV, 2016.
P. Hosseini and K. Savla, “A Comparison Study between Proportionally Fair and Max Pressure Controllers for Signalized Arterial Networks”, Proceedings of the Transportation Research Board Annual Meeting, Washington D.C., 2016.
K. Savla, E. Lovisari, and G. Como, “On Maximally Stabilizing Adaptive Traffic Signal Control”, Proceedings of the Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2013.