The international commitment to achieve carbon neutrality in the next few decades has oriented hu... more The international commitment to achieve carbon neutrality in the next few decades has oriented human activities towards the preservation of natural and non-renewable resources. In this context, a great research effort has been devoted to the search for sustainable solutions for the infrastructure construction sector, based on a thorough assessment of the environmental impact (EI). In this regards, Life Cycle Assessment (LCA) is considered one of the main components of Environmental Impact Assessment (EIA) and, for a comprehensive analysis, all the costs incurred by stakeholders during the useful life of the infrastructure should also be taken into account, applying the Life Cycle Cost (LCC) methodology. So far, there is a lack of combined LCA and LCC analyses of railway projects to support a proper sustainable decision-making process at a project level. Therefore, this study aimed to contributed to this topic by determining the environmental effect and related costs of different pla...
This research put forward an efficacious real-time deep learning-based technique to automate the ... more This research put forward an efficacious real-time deep learning-based technique to automate the process of monitoring the social distancing in transportation systems (e.g., bus stops, railway stations, airport terminals, etc.) and other public spaces with the purpose to mitigate the impact of coronavirus pandemic. The proposed technique makes use of the YOLOv3 model to segregate humans from the background of each image of a surveillance video and the linear Kalman filter for tracking the humans’ motion even in case in which another object or person overlaps the trajectory of the person under analysis. The performance of the model in human detection is extremely high as demonstrated by the accuracy of the model that reaches values higher than 95%. The detection algorithm can be applied for alerting people to keep a safe distance from each other when they are in crowded places or in groups.
The purpose of this study was to evaluate the reliability of a novel high-efficiency procedure fo... more The purpose of this study was to evaluate the reliability of a novel high-efficiency procedure for aggregate gradation determination of the railway ballast by means digital image processing technique (DIP). This new method is based on the “information” of high-resolution photographic images of the railway tracks and on specific algorithms, which allows to obtain the ballast aggregate gradation curve. The methodology has been applied to a new Italian railway line and allows finding the ballast particle size distribution for many track sections (straight, circular curve, transition curve). The results obtained by means the field observations were compared to those acquired from laboratory analysis. The research shows that the DIP could be implemented into the High speed track recording cars (diagnostic trains) together the laser and ultrasonic equipment (used for the rails scansions) for the Railway Infrastructure Monitoring (RIM).
X° Convention Nazionale Ambiente, Ricerca, Giovani.SCI (Societa Chimica Italiana) - Divisione di ... more X° Convention Nazionale Ambiente, Ricerca, Giovani.SCI (Societa Chimica Italiana) - Divisione di Chimica dell'Ambiente e dei beni culturali. Bergamo, 15-20 novembre 2009
Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETC... more Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETCS. Nevertheless, on local railways (suburban and regional lines) several tasks still depend on the choices and actions of a human crew. With the aim to improve safety in such type of railways, this research proposes a system for the automatic detection and recognition of railway signs by means of the digital image processing technique. First field applications, carried out on the Italian railway network, show that the proposed system is very accurate (the percentage of correctly detected railway signs is about 97%), even at high train speeds.
The mechanical characteristics of the railway superstructure are related to the properties of the... more The mechanical characteristics of the railway superstructure are related to the properties of the ballast, and especially to the particle size distribution of its grains. Under the constant stress-strain of carriages, the ballast can deteriorate over time, and consequently it should properly be monitored for safety reasons. The equipment which currently monitors the railway superstructure (like the Italian diagnostic train Archimede) do not make any “quantitative” evaluation of the ballast. The aim of this paper is therefore to propose a new methodology for extracting railway ballast particle size distribution by means of the image processing technique. The procedure has been tested on a regularly operating Italian railway line and the results have been compared with those obtained from laboratory experiments, thus assessing how effective is the methodology which could potentially be implemented also in diagnostic trains in the near future.
The practice capacity of a railway junction depends, in addition to the effective operation’s con... more The practice capacity of a railway junction depends, in addition to the effective operation’s conditions, by the potential risk factors related to the design plan of the railway station. With the aim of an approach based on the “fuzzy sets” it is possible to determine the numeric value of the practice capacity by the logic - qualitative relations between the features of the railway junction and the potential risk factors. This methodology permits to try out the absolute value of a suitable vector β, (less then the unit) for the utilization of the theoretic capacity in conditions of maximum reliability of the system related to the aspect of safety (technique “fail safe”).
Over the past decades many models for roundabout capacity have been proposed. Attention to this r... more Over the past decades many models for roundabout capacity have been proposed. Attention to this research sector has never stopped and still today new formulations are always being studied, especially in view of their direct application in design practice. This paper reports the first noteworthy results of a research concerning the Modified Chumanov (MC) model, which can be used to estimate the capacity of single-lane roundabout entrances. After a detailed examination of the original model recommended by the Russian guidelines for small urban roundabouts, the paper proposes some extensions which allow using the revised model even for larger intersections. The MC model also includes some parameterizations that allow its application with different road pavement surface conditions (i.e., dry and wet conditions). The MC entry capacity model, as function of circulating flow and other parameters dependent on geometry and environmental conditions, was compared with 15 widespread models cons...
The international commitment to achieve carbon neutrality in the next few decades has oriented hu... more The international commitment to achieve carbon neutrality in the next few decades has oriented human activities towards the preservation of natural and non-renewable resources. In this context, a great research effort has been devoted to the search for sustainable solutions for the infrastructure construction sector, based on a thorough assessment of the environmental impact (EI). In this regards, Life Cycle Assessment (LCA) is considered one of the main components of Environmental Impact Assessment (EIA) and, for a comprehensive analysis, all the costs incurred by stakeholders during the useful life of the infrastructure should also be taken into account, applying the Life Cycle Cost (LCC) methodology. So far, there is a lack of combined LCA and LCC analyses of railway projects to support a proper sustainable decision-making process at a project level. Therefore, this study aimed to contributed to this topic by determining the environmental effect and related costs of different pla...
This research put forward an efficacious real-time deep learning-based technique to automate the ... more This research put forward an efficacious real-time deep learning-based technique to automate the process of monitoring the social distancing in transportation systems (e.g., bus stops, railway stations, airport terminals, etc.) and other public spaces with the purpose to mitigate the impact of coronavirus pandemic. The proposed technique makes use of the YOLOv3 model to segregate humans from the background of each image of a surveillance video and the linear Kalman filter for tracking the humans’ motion even in case in which another object or person overlaps the trajectory of the person under analysis. The performance of the model in human detection is extremely high as demonstrated by the accuracy of the model that reaches values higher than 95%. The detection algorithm can be applied for alerting people to keep a safe distance from each other when they are in crowded places or in groups.
The purpose of this study was to evaluate the reliability of a novel high-efficiency procedure fo... more The purpose of this study was to evaluate the reliability of a novel high-efficiency procedure for aggregate gradation determination of the railway ballast by means digital image processing technique (DIP). This new method is based on the “information” of high-resolution photographic images of the railway tracks and on specific algorithms, which allows to obtain the ballast aggregate gradation curve. The methodology has been applied to a new Italian railway line and allows finding the ballast particle size distribution for many track sections (straight, circular curve, transition curve). The results obtained by means the field observations were compared to those acquired from laboratory analysis. The research shows that the DIP could be implemented into the High speed track recording cars (diagnostic trains) together the laser and ultrasonic equipment (used for the rails scansions) for the Railway Infrastructure Monitoring (RIM).
X° Convention Nazionale Ambiente, Ricerca, Giovani.SCI (Societa Chimica Italiana) - Divisione di ... more X° Convention Nazionale Ambiente, Ricerca, Giovani.SCI (Societa Chimica Italiana) - Divisione di Chimica dell'Ambiente e dei beni culturali. Bergamo, 15-20 novembre 2009
Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETC... more Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETCS. Nevertheless, on local railways (suburban and regional lines) several tasks still depend on the choices and actions of a human crew. With the aim to improve safety in such type of railways, this research proposes a system for the automatic detection and recognition of railway signs by means of the digital image processing technique. First field applications, carried out on the Italian railway network, show that the proposed system is very accurate (the percentage of correctly detected railway signs is about 97%), even at high train speeds.
The mechanical characteristics of the railway superstructure are related to the properties of the... more The mechanical characteristics of the railway superstructure are related to the properties of the ballast, and especially to the particle size distribution of its grains. Under the constant stress-strain of carriages, the ballast can deteriorate over time, and consequently it should properly be monitored for safety reasons. The equipment which currently monitors the railway superstructure (like the Italian diagnostic train Archimede) do not make any “quantitative” evaluation of the ballast. The aim of this paper is therefore to propose a new methodology for extracting railway ballast particle size distribution by means of the image processing technique. The procedure has been tested on a regularly operating Italian railway line and the results have been compared with those obtained from laboratory experiments, thus assessing how effective is the methodology which could potentially be implemented also in diagnostic trains in the near future.
The practice capacity of a railway junction depends, in addition to the effective operation’s con... more The practice capacity of a railway junction depends, in addition to the effective operation’s conditions, by the potential risk factors related to the design plan of the railway station. With the aim of an approach based on the “fuzzy sets” it is possible to determine the numeric value of the practice capacity by the logic - qualitative relations between the features of the railway junction and the potential risk factors. This methodology permits to try out the absolute value of a suitable vector β, (less then the unit) for the utilization of the theoretic capacity in conditions of maximum reliability of the system related to the aspect of safety (technique “fail safe”).
Over the past decades many models for roundabout capacity have been proposed. Attention to this r... more Over the past decades many models for roundabout capacity have been proposed. Attention to this research sector has never stopped and still today new formulations are always being studied, especially in view of their direct application in design practice. This paper reports the first noteworthy results of a research concerning the Modified Chumanov (MC) model, which can be used to estimate the capacity of single-lane roundabout entrances. After a detailed examination of the original model recommended by the Russian guidelines for small urban roundabouts, the paper proposes some extensions which allow using the revised model even for larger intersections. The MC model also includes some parameterizations that allow its application with different road pavement surface conditions (i.e., dry and wet conditions). The MC entry capacity model, as function of circulating flow and other parameters dependent on geometry and environmental conditions, was compared with 15 widespread models cons...
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Papers by Marco Guerrieri