Robust Control of Traffic Flow on Networks using Chance Constrained Optimization
Traffic control on networks is one of the most cost-effective and scalable solutions to worsening urban traffic congestion. In this talk, a novel formulation of robust network traffic control involving a first order traffic flow model, with initial condition, model parameter and intersection parameter uncertainty will be presented. A fast numerical scheme (Fast Lax-Hopf) for solving the Lighthill-Whitham-Richards (LWR) model on networks. will be used to formulate the boundary control problem as a Linear Program (LP), given corresponding initial conditions and the model parameters.
Christian Claudel is an Assistant Professor of Civil, Architectural and Environmental Engineering at UT-Austin. He received the PhD degree in Electrical Engineering from UC-Berkeley in 2010, and the MS degree in Plasma Physics from Ecole Normale Superieure de Lyon in 2004. His research interests include control and estimation of networked and distributed parameter systems, wireless sensor networks, and robotics.