MIT's Saurabh Amin presented Highway Traffic Operations under Reliability and Security Failures on October 26, 2018 at 4 p.m. in 290 Hearst Memorial Mining Building.
In this talk, we introduce a system-theoretic approach for designing highway operations that are resilient to a class of disruptions. We focus on three types of disruptions: random incidents, moving bottlenecks, and strategic compromise of V2I communications. Firstly, we model traffic flow dynamics under stochastic disruptions as switching dynamical systems. To capture the stochasticity of disruptions, we introduce Markovian switches in the macroscopic flow/queuing dynamics. Secondly, we analyze the long-time properties of traffic dynamics and design traffic control schemes to improve system throughput with stability guarantees. In particular, we refine the classical drift condition for stability of Markov processes to evaluate the boundedness of traffic queues at bottlenecks. Thirdly, we study a game-theoretic model of analyze the impact of strategic misbehavior by travelers on multi-priority lanes. We propose several resiliency improving schemes for highway operations such as speed regulation of vehicle platoons, incident-aware control, and inspection of multi-priority lanes.
Saurabh Amin is Robert N. Noyce Career Development Associate Professor in the Department of Civil and Environmental Engineering at MIT. He is also affiliated with the Institute of Data, Systems and Society and the Operations Research Center at MIT. His research focuses on the design of network inspection and control algorithms for infrastructure systems resilience. He studies the effects of security attacks and natural events on the survivability of cyber-physical systems, and designs incentive mechanisms to reduce network risks. Dr. Amin received his Ph.D. from the University of California, Berkeley in 2011. His research is supported by NSF CPS FORCES Frontiers project, NSF CAREER award, Google Faculty Research award, DoD-Science of Security Program, and Siebel Energy Institute Grant.