We propose a motion planning method for automated vehicles (AVs) to complete driving
tasks in dynamic traffic scenes. The proposed method aims to generate motion trajectories …

A path-planning algorithm for automated road vehicles on multi-lane motorways is derived
from the opportune formulation of an optimal control problem. In this framework, the …

In the future, when traffic streams comprise a mix of conventional and automated vehicles
(AVs), AVs may be employed as mobile actuators to regulate or manage traffic flow across …

The planning of semi-autonomous vehicles in traffic scenarios is a relatively new problem
that contributes towards the goal of making road travel by vehicles free of human drivers. An …

This paper presents a hierarchical trajectory following framework for SAE-level 2/3 automatic
driving by convex optimisation, which aims for daily common driving manoeuvres with low …

Advanced connected and automated vehicle technologies enable us to modify driving
behavior and control vehicle trajectories, which have been greatly constrained by human …

This paper develops a mathematical approach to optimize a time-dependent deployment
plan of autonomous vehicle (AV) lanes on a transportation network with heterogeneous …

This paper proposes a model to find the optimal location of autonomous vehicle lanes in a
transportation network consisting of both Autonomous Vehicles (AVs) and Human‐Driven …

We study the problem of routing Connected and Automated Vehicles (CAVs) in the presence
of mixed traffic (coexistence of regular vehicles and CAVs). In this setting, we assume that all …

This study introduces a methodology for cooperative signal timing and trajectory
optimization at intersections with a mix of connected automated vehicles (CAVs) and human …