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Salvatore Curto
Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy

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Journal article
Published: 04 August 2021 in Sustainability
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Nowadays, transport systems efficiency plays a key role for communities’ liveability and economy, being in addition an important factor in the economic integration of countries. The purpose of the article is to develop multi-stage models of tourist activities for optimizing the development of operating companies. For the implementation of models, the authors evolved the relevant system of organizational-functional support for the development of railway tourism. The research will enable us to take into consideration risks when planning tourist routes by railway, determine the order of construction or start of routes, and assess their profitability. This will provide to earn the expected incomes of all interested parties in tourist activities for the specified period. The authors created economic-mathematical models of the discrete optimal planning of the railway tourism operations. This takes into account conditions of risks and cooperation, and allows to determine which sets of effective routes are the most profitable ones. The results of the realization of the developed models include the task of the succession of the tourist route introduction according to the present and future infrastructure, availability of the rolling stock, etc. In this, consideration is given to obtaining maximum profit from tourism businesses for every participant during an established period.

ACS Style

Alessandro Severino; Larysa Martseniuk; Salvatore Curto; Larysa Neduzha. Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand. Sustainability 2021, 13, 8686 .

AMA Style

Alessandro Severino, Larysa Martseniuk, Salvatore Curto, Larysa Neduzha. Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand. Sustainability. 2021; 13 (16):8686.

Chicago/Turabian Style

Alessandro Severino; Larysa Martseniuk; Salvatore Curto; Larysa Neduzha. 2021. "Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand." Sustainability 13, no. 16: 8686.

Review
Published: 16 April 2021 in Applied Sciences
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Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes. There are various aspects that affect urban transport systems: in this work, we highlight how road markings, intersections, and pavement design upgradings have a key role for AVs operation. This work aims to describe how contemporary society will be influenced by Autonomous Vehicles’ spread in regard to urban transport systems. A comprehensive analysis of the expected developments within urban transport systems is hereby presented, and some crucial issues concerning benefits and drawbacks are also discussed. From our studies, it emerges that the detection performed by vehicles is mainly affected by road markings characteristics, especially at intersections. Indeed, the need for a new cross-sections type arise, since vehicles wandering phenomena will be reduced due to AVs position-keeping systems.

ACS Style

Alessandro Severino; Salvatore Curto; Salvatore Barberi; Fabio Arena; Giovanni Pau. Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems. Applied Sciences 2021, 11, 3604 .

AMA Style

Alessandro Severino, Salvatore Curto, Salvatore Barberi, Fabio Arena, Giovanni Pau. Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems. Applied Sciences. 2021; 11 (8):3604.

Chicago/Turabian Style

Alessandro Severino; Salvatore Curto; Salvatore Barberi; Fabio Arena; Giovanni Pau. 2021. "Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems." Applied Sciences 11, no. 8: 3604.

Review
Published: 16 January 2021 in Sustainability
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In the modern era, characterized by intense urbanization and frequent travel between interconnected communities, the constant expansion of cities, associated with high densities and growing need for traveling, has led to a significant increase in road traffic volumes. More than ever, road traffic today requires effort to be managed effectively in order to improve performance and safety conditions, given the greater probability of unpleasant events such as accidents or road congestion with related delays and the increased stress levels of the user and infrastructure. Fortunately, there are already various engineering tools, such as ramp metering, that can be used for this purpose. Ramp metering allows for achieving the aforementioned desired benefits, including improving mobility, reliability, efficiency, and safety, and even reducing environmental impact. It also has been shown to be cost-effective from the existing literature. Further research will be necessary to strengthen the quality, efficacy, and efficiency of ramp metering, especially considering the fast-paced progress in technology (e.g., connected autonomous vehicles and drones used for surveys) and new challenging scenarios (e.g., congested industrial areas and emergency vehicles). This review’s scope is to present a general overview of principal ramp metering solutions, focusing on current research studies in the last couple of years and highlighting some of the main algorithms used for this purpose, depending on diverse scenarios. With this article, the authors desire to present the subject of ramp metering, providing a general overview of its story, evolution, and recent analytical models.

ACS Style

Salvatore Trubia; Salvatore Curto; Salvatore Barberi; Alessandro Severino; Fabio Arena; Giovanni Pau. Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles. Sustainability 2021, 13, 850 .

AMA Style

Salvatore Trubia, Salvatore Curto, Salvatore Barberi, Alessandro Severino, Fabio Arena, Giovanni Pau. Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles. Sustainability. 2021; 13 (2):850.

Chicago/Turabian Style

Salvatore Trubia; Salvatore Curto; Salvatore Barberi; Alessandro Severino; Fabio Arena; Giovanni Pau. 2021. "Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles." Sustainability 13, no. 2: 850.

Journal article
Published: 01 December 2020 in Infrastructures
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Transport engineering has recently undergone several significant changes and innovations, one of which is the appearance and spread of autonomous vehicles; with this technology becoming more common and ordinary by the day, it is now necessary to implement some systems and contexts to facilitate autonomous vehicle operations. Consequently, a different perspective is now arising when dealing with road infrastructures, aiming to simplify and improve efficiency and maintenance of the existing roads, increase the life cycle of newly built ones, and minimize the economic and financial impact at the same time. Roadway pavements are one of the primary factors affecting vehicle operations; over time, this distinctive aspect has gone through various mechanical and physical changes due to the adoption of new materials or design methods. Consequently, to the spread of autonomous vehicles, scientific research has begun to study and develop systems to make road pavements and platforms not exclusively aimed at bearing loads, but rather at considering them as a means of communication and information exchange, if not even as a source of energy. This new approach introduces the so-called “Smart Roads,” i.e., road infrastructures capable of communicating with vehicles and self-monitoring fundamental perspectives concerning driverless vehicles and the roadway platform life cycle. This paper examines the characteristics of Smart Roads, considering their broad field of application and their potential advantages and drawbacks. This paper also pursues the objective of describing the global vision, the possible future direction of these innovations concerning the automotive and transport industries, and a particular focus on infrastructures and roadways.

ACS Style

Salvatore Trubia; Alessandro Severino; Salvatore Curto; Fabio Arena; Giovanni Pau. Smart Roads: An Overview of What Future Mobility Will Look Like. Infrastructures 2020, 5, 107 .

AMA Style

Salvatore Trubia, Alessandro Severino, Salvatore Curto, Fabio Arena, Giovanni Pau. Smart Roads: An Overview of What Future Mobility Will Look Like. Infrastructures. 2020; 5 (12):107.

Chicago/Turabian Style

Salvatore Trubia; Alessandro Severino; Salvatore Curto; Fabio Arena; Giovanni Pau. 2020. "Smart Roads: An Overview of What Future Mobility Will Look Like." Infrastructures 5, no. 12: 107.