We propose a fully distributed control system architecture, amenable to in-vehicle
implementation, that aims to safely coordinate connected and automated vehicles (CAVs) at …

This paper proposes a distributed closed-loop control algorithm for optimal coordination of
autonomous vehicles at traffic intersections. The main contribution of the paper is a …

The coordination of highly automated vehicles (or agents) in road intersections is an
inherently nonconvex and challenging problem. In this paper, we propose a distributed …

Road intersections are usually a bottleneck in big cities and might lead to severe congestion
during rush hour traffic. With highly automated vehicles leveraging vehicle-to-vehicle …

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

This paper presents a decentralized model predictive control approach for the coordination
of autonomous vehicles at intersections. A linear quadratic optimal controller is introduced …

Autonomous intersection management (AIM) refers to planning cooperative trajectories for
multiple connected and automated vehicles (CAVs) when they pass through an …

Connected vehicles will change the modes of future transportation management and
organization, especially at an intersection without traffic light. Centralized coordination …

In this paper, we extend a framework that we developed earlier for coordination of
connected and automated vehicles (CAVs) at a signal-free intersection by integrating a …

This paper proposes a distributed control scheme for a platoon of heterogeneous vehicles
based on the mechanism of model predictive control (MPC). The platoon composes of a …