Reducing Gridlock Probabilities via Simulation-based Signal Control

Simulation-based travel time reliable signal control

A Simulation-based Approach to Reliable Signal Control

This paper uses a simulation-based optimization framework to investigate the added value of using higherorder distributional information from detailed traffic simulators to address signal control problems. In particular, this paper uses higher-order travel time distributional information to derive signal plans that account for travel time reliability. In order to derive computationally efficien...

A Framework for Simulation-based Network Control via Hindsight Optimization

We describe a novel approach for designing network control algorithms that incorporate traffic models. Traffic models can be viewed as stochastic predictions about the future network state, and can be used to generate traces of potential future network behavior. Our approach is to use such traces to heuristically evaluate candidate control actions using a technique called hindsight optimization...

Robust stochastic control based on imprecise probabilities ⋆

This paper deals with the optimal quadratic control problem for non Gaussian discrete-time linear stochastic systems from the perspective of imprecise probabilities. The adopted philosophy is to use a convex set of probability distributions to characterize the imprecision in the knowledge about the probabilistic relationships present in the system to be controlled. In particular, an uncertain s...

Characterizing controllability probabilities of stochastic control systems via Zubov’s method

We consider a controlled stochastic system with an a.s. locally exponentially controllable compact set. Our aim is to characterize the set of points which can be driven by a suitable control to this set with either positive probability or with probability one. This will be obtained by associating to the stochastic system a suitable control problem and the corresponding Bellman equation. We then...