This paper presents a novel design of control algorithms for lane change assistance and
autonomous driving on highways, based on recent results in Scenario Model Predictive …

This paper presents a new algorithm for detecting the safety of lane changes on highways
and for computing safe lane change trajectories. This task is considered as a building block …

This paper describes lane change motion planning with a combination of probabilistic and
deterministic prediction for automated driving under complex driving circumstances. The …

Automated vehicles require efficient and safe planning to maneuver in uncertain
environments. Largely this uncertainty is caused by other traffic participants, eg, surrounding …

In this article, we develop a game theoretic model predictive controller (GTMPC) with
aggressiveness estimation to deal with the mandatory lane change (MLC) problem in …

We present a freeway-traffic control strategy that continuously adapts traffic control
measures to prevailing traffic conditions and features faster computation speed than …

Model Predictive Control for Autonomous and Semiautonomous Vehicles by Yiqi Gao A
dissertation submitted in partial satisfaction Page 1 Model Predictive Control for Autonomous …

This paper describes the design and evaluation of a model predictive control algorithm for
automated driving on a motorway using a vehicle traffic simulator. For the development of a …

Anticipative control of vehicles is a potential approach for improving travel efficiency of
individual vehicles, smoothing traffic flows on urban roads, alleviating impacts on the …

In this article, we present an innovative approach, ie, horizonwise model-predictive control
(H-MPC), to solve the model-predictive control (MPC) problem of a linear time-varying (LTV) …