The trucking industry, a vital part of the economic structure, faces numerous challenges such
as greenhouse gas emissions, labor-related issues, fluctuating fuel costs, and safety …

The use of high-capacity vehicles has been shown to significantly reduce carbon dioxide
emissions from heavy goods transport and improve the efficiency of the transport sector …

This paper presents new control designs and implementations of truck-trailer path following
in forward and backward motions. The path following controls are designed in two modes …

This paper presents a control strategy for autonomous truck-trailer systems based on deep
reinforcement learning (Deep RL). The deep deterministic policy gradient (DDPG) is used …

This paper uses a line-following approach to study the longitudinal and lateral problems in
vehicle platooning. Under this setup, we assume that inter-vehicle distance sensing is …

Backing up truck-trailer vehicles is a required task in several industry sectors. Controllers
that have been proposed to automate this process usually struggle when the vehicle is …

In recent years, significant advancements have been made in the field of autonomous
driving with the aim of increasing safety and efficiency. However, research that focuses on …

A method for determining the control algorithm for a truck-trailer system following a certain
path is proposed. The control design for path following control of a truck-trailer system is …

Investigations about backward motion of autonomous Truck-Trailer is interesting because
the backward motion system is harder than forward motion system. The system is hard to be …

Trailer-tractor vehicles are the backbone of logistical operations, delivering goods to their
destination. Despite their importance, publicly available research in mechanisms for making …