The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …

Immersive technology is rapidly emerging as a powerful tool for enhancing the digital
transformation in transportation to deal with the complexity, high cost, and uncertainty in the …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …

In this article, a fuzzy logic model is proposed for more precise hourly electrical power
demand modeling in New England. The issue that exists when considering hourly electrical …

This paper presents a method to design a Model Predictive Control to maximize the
passengers' comfort in assisted and self-driving vehicles by achieving lateral and …

Autonomous driving is achieved by controlling the coupled nonlinear longitudinal and lateral
vehicle dynamics. Longitudinal control greatly affects lateral dynamics and must preserve …

Abstract Nowadays, Automated Driving has a growing interest in the scientific and industrial
automotive community. The vehicle motion planning is an essential procedure to obtain safe …

Railway level crossings pose a serious threat to the safety and mobility of drivers traversing
them. Globally, a significant number of traffic violations occur annually at level crossings …

In this paper, a novel adaptive sliding mode controller (SMC) was designed based on a
robust law considering disturbances and uncertainties for autonomous ground vehicle …

This study proposes a multi‐mode switching longitudinal autonomous driving system based
on model predictive control (MPC) with acceleration estimation of proceeding vehicle. A …