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Automatizing the identification of human brain stimuli during head movements could lead towards a significant step forward for human computer interaction (HCI), with important applications for severely impaired people and for robotics. In this paper, a neural network‐based identification technique is presented to recognize, by EEG signals, the...

Electricity represents the main promising option to decarbonize the transport sector, above all, for the private car use. Therefore, the diffusion of electric vehicles (EVs) in the automotive market is constrained to an adequate deployment of the energy distribution infrastructures. The paper proposes a methodology to identify the optimal...

Vehicle platooning has a central role in the road management by self-driving or autonomous vehicles (AVs). The main issues in this context are the agreement of communication and control instructions among vehicles in order to maintain a safe inter vehicular distance and a specific desired speed according to the planned travel. This paper...

This paper proposes a solution to dynamically adjust vehicle platoon trajectories. The goal of the control algorithm is to keep the optimal interdistance between adjacent vehicles proceeding at cruising speed on a straight road. After a proposal of the interdistance required between neighboring vehicles, a robust decentralized controller based...

Vehicle platooning focuses on the problem to achieve cooperation on a shared consensus about distance and speed in a fleet of vehicles. Vehicle platooning represents a challenging concern in road management of self-driving or autonomous vehicles (AVs). Cooperation in vehicle platooning may be realized by communication and control instructions...

The objective of this paper is to develop a model predictive control (MPC) approach to control the inter vehicular distance and the speed in a vehicle platoon in order to improve road safety and to minimize fuel consumption. It is assumed to have a multicast topology communication system among vehicles. The dynamic model of each single car...

Modern agriculture represents an economic sector that can mainly benefit from technology innovation according to the principles suggested by Industry 4.0 for smart farming systems. Greenhouse industry is significantly becoming more and more technological and automatized to improve the quality and efficiency of crop production. Smart greenhouses...

In the last years, the manufactured vehicles were designed to focus on prevention of some risky situations caused by a human driver. The aim of this paper is to illustrate the design and implementation of a BCI system which can detect the arm movements by the EEG signal during a simulated driving session. The proposed approach to realize a...

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The behaviour of drivers is significantly influenced by their perception of risk, which can have a profound impact on the transportation environment. This can potentially undermine road safety and efficiency. This study addresses this crucial concern by introducing an algorithm that forecasts driver-perceived risk using data obtained from...

The objective of this work is to predict the emissions generated by trucks upon their arrival at a port terminal. This prediction is based on a forecast model that predicts truck arrivals, serving as a key input for the proposed methodology. By using the curve of truck arrivals within specific time intervals, an emission model is adopted to...

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The reduction of pollutant emissions due to the truck operations in a maritime terminal is the objective of this work. The proposed approach is firstly based on a suitable prediction method developed by the authors and aimed at forecasting the number of trucks reaching the terminal to bring export containers in each day of a specified time...

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The resource allocation problem in case of emergency management represents a serious theme especially in the last years, when the occurrence of industrial disasters has become more frequent. Special attention has to be given to the emergency management in case of maritime or port accidents which involve hazardous material above all in MED...

The sustainable agriculture cultivation in greenhouses is constantly evolving thanks to new technologies and methodologies able to improve the crop yield and to solve the common con-cerns which occur in protected environments. In this paper, an MPC‐based control system has been realized in order to control the indoor air temperature in a high...