This paper presents a supervisory algorithm that prevents side collisions among vehicles at
an intersection by taking control of vehicles when necessary. Based on the vehicles' current …

This paper investigates intersection control of multiple vehicles using a Model Predictive
Control (MPC) framework. Vehicles follow pre-defined paths across the intersection and …

Nonconvex, nonlinear optimal control problems for large-scale networked control systems
(NCSs) can be distributed to accelerate computation time. One distribution strategy is priority …

In this Ph. D. thesis, we study how autonomous vehicles can learn to act safely and avoid
accidents, despite sharing the road with human drivers whose behaviours are uncertain. To …

Before reaching full autonomy, vehicles will gradually be equipped with more and more
advanced driver assistance systems (ADAS), effectively rendering them semi-autonomous …

The deployment of Cooperative Intelligent Transportation Systems (C-ITS) raises the
question of future traffic management systems, which will be operating with an increasing …

Virtual testing plays an important role in the validation and verification of automated
vehicles. State-of-the-art approaches first generate a huge amount of test scenarios through …

In an environment with limited space and dense goal configuration, the path of robot team is
forced to coincide without much adjustment space, which is a challenge for multi-robot …

Double-sided tools system is a promising design to counteract the forces caused by tools,
and has become a practical way to machine thin-walled parts with the twisted structure …

A method is proposed for vehicle merging scenarios in junctions with relative cost
prioritization. The method is based on Model Predictive Control, employing Mixed Integer …