Traffic control on networks is one of the most cost-effective and scalable solutions to worsening urban traffic congestion. This talk discussed a novel formulation of robust network traffic control involving a first order traffic flow model, with initial condition, model parameter and intersection parameter uncertainty. First a fast numerical scheme (Fast Lax-Hopf) for solving the Lighthill-Whitham-Richards (LWR) model on networks was presented. Then, this scheme was used to formulate the boundary control problem as a Linear Program (LP),  given corresponding initial conditions and the model parameters. Later, a stochastic programming counterpart involving chance constraints, to capture the uncertainty in the initial conditions, or in the junction parameters, was presented. A validation on a simulated road network was conducted, and the performance of the optimal control was validated using a Monte Carlo simulation.