… stochastic framework and an optimization algorithm to find the optimum market shares of CVs
and AVs in a mixed traffic environment, consisting of human-driven vehicles … the framework …

… We propose a stochastic MPC framework for controlling autonomous vehicles where the risk
… Chance–constrained optimization has been studied in the context of autonomous vehicles. …

… In this paper, we propose a framework that devises vehicle … Our proposed framework can
guarantee safety while … network-level data when devising vehicle trajectories, we conduct a …

… Capacity analysis of the pure connected automated vehicle (CAV) traffic remains a …
capacity with stochastic properties. This study provides a stochastic framework to mathematically …

… vehicles can be graphically illustrated. Upon this model, we establish the SMPC platoon
control framework under stochastic … distribution of the random perturbation (expectation and …

… This study presents an effort to develop such a framework using existing technology-appropriate
acceleration models, and performs analytical and simulation-based analyses of the …

… of stochastic model-predictive control and prediction uncertainty estimation for autonomous
vehicles. … from sensors mounted on the autonomous vehicle and high-definition intersection …

… the impact of autonomous driving on the traffic flow. The traffic flow model in the framework
of the … The randomization deceleration b rand and stochastic deceleration probability p are …

… 2) at random time with uniform distribution between 0 and 20 … control framework for connected
automated vehicles at signal… for speed harmonization of automated vehicles,” IEEE Trans…

… In the area, 10,000 random passenger car trips are generated as the training set, and the
total … Moura, “Optimal eco-driving control of connected and autonomous vehicles through …