Dottorato di Ricerca in Ingegneria Civile e Industriale.Ciclo XXIXUniversità degli Studi della Ca... more Dottorato di Ricerca in Ingegneria Civile e Industriale.Ciclo XXIXUniversità degli Studi della Calabri
2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017
Big Data are having a great impact on the cities morphology and urban planning; actually, big dat... more Big Data are having a great impact on the cities morphology and urban planning; actually, big data are used, for example, to predict the needs of the public transport system, by targeting investment and mobility policies within the main metropolis. Based on this assumption, this paper presents a Decision Support System (DSS) framework aimed at proposing travel strategies alternative to car use by elaborating a large amount of transportation systems data coming from different devices. The paper focalizes on the use of Big Data in public transportation and introduces a methodological framework for collecting, integrating, aggregating, fusing, managing and disseminating data coming from different sources. Data mining approaches are applied to allow the analysis of both open Big Data, that conforms to established standards such as SIRI and GTFS, and unstructured freely available Big Data. Experimental data was collected from both a sample of smartphones and AVL systems in a case study area. The application of the proposed DSS allowed analyzing spatial and temporal coverage of the public transport services, and suggesting policies to improve the modal split.
The aim of this paper is to present a method to evaluate the quality and energy performance of in... more The aim of this paper is to present a method to evaluate the quality and energy performance of inland freight terminals, using a quantitative approach based on traffic microsimulation models. The transport of goods should meet requirements of environmental sustainability and combined transport can be an eco-friendly option for medium/long distance connections, in which the railway mode can provide its efficiency if properly accessible. The analysis of the terminal aims at quantifying Key Performance Indicators (KPIs) by traffic microsimulation. The relevant features of the typical phases of the internal process are represented and the traffic flow data of arrivals are disaggregated by specific service needs. The model is used to compare the chosen indicators in different scenarios, varying the arrival rates for trucks and reducing the duration of check-out and cranes operations. Results of quality and energy are also reported disaggregated for the differ-ent types of service lines.
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), 2016
This paper presents a study of bus services operational performance through the analysis at a sto... more This paper presents a study of bus services operational performance through the analysis at a stop level of Automatic Vehicle Location (AVL) data, using the capability of Geographic Information Systems (GIS) to analyze spatial and temporal patterns of change. In particular, the analysis is focused on the study of the reliability of public transport services that connect the most important urban centers and the airport of a low density region. The intention is to suggest transport demand management policies aimed at shifting the modal split towards public transport modes as sustainable forms of mobility, encouraging intermodality. In order to determine average travel times and the standard deviation of travel times a specific statistical analysis has been carried out. The results of this analysis have been imported into a GIS package for a further investigation of the services reliability to highlight some critical aspects and adopt specific policies and opportune solutions.
This paper presents a methodology for determining public transportation quality attributes, based... more This paper presents a methodology for determining public transportation quality attributes, based on a decision support system (DSS). The platform, once set up, combines the capability of geographic information systems (GIS) to analyze spatial attributes and the smartphone mobile technology, which is a ''smart'' solution to collect dynamically bus locations and their cinematic variables. The DSS has been applied to a real case study in order to test its reliability. The results highlight a good flexibility of the platform combined with a good level of scalability and interoperability of the system that can be applied in any context. Moreover, the high penetration rate of smartphones among users and the system capability of disag-gregating data in both space and time, makes the DSS useful to identify operational problems and take appropriate actions with a non-intrusive approach.
— This paper presents a study of bus services operational performance through the analysis at a s... more — This paper presents a study of bus services operational performance through the analysis at a stop level of Automatic Vehicle Location (AVL) data, using the capability of Geographic Information Systems (GIS) to analyze spatial and temporal patterns of change. In particular, the analysis is focused on the study of the reliability of public transport services that connect the most important urban centers and the airport of a low density region. The intention is to suggest transport demand management policies aimed at shifting the modal split towards public transport modes as sustainable forms of mobility, encouraging intermodality. In order to determine average travel times and the standard deviation of travel times a specific statistical analysis has been carried out. The results of this analysis have been imported into a GIS package for a further investigation of the services reliability to highlight some critical aspects and adopt specific policies and opportune solutions.
This paper presents a methodology for tracking moving vehicles that integrates Unmanned Aerial Ve... more This paper presents a methodology for tracking moving vehicles that integrates Unmanned Aerial Vehicles with video processing techniques. The authors investigated the usefulness of Unmanned Aerial Vehicles to capture reliable individual vehicle data by using GPS technology as a benchmark. A video processing algorithm for vehicles trajectory acquisition is introduced. The algorithm is based on OpenCV libraries. In order to assess the accuracy of the proposed video processing algorithm an instrumented vehicle was equipped with a high precision GPS. The video capture experiments were performed in two case studies. From the field, about 24,000 positioning data were acquired for the analysis. The results of these experiments highlight the versatility of the Unmanned Aerial Vehicles technology combined with video processing technique in monitoring real traffic data.
This paper presents a methodology for determining public transportation quality attributes, based... more This paper presents a methodology for determining public transportation quality attributes, based on a decision support system (DSS). The platform, once set up, combines the capability of geographic information systems (GIS) to analyze spatial attributes and the smartphone mobile technology, which is a ''smart'' solution to collect dynamically bus locations and their cinematic variables. The DSS has been applied to a real case study in order to test its reliability. The results highlight a good flexibility of the platform combined with a good level of scalability and interoperability of the system that can be applied in any context. Moreover, the high penetration rate of smartphones among users and the system capability of disag-gregating data in both space and time, makes the DSS useful to identify operational problems and take appropriate actions with a non-intrusive approach.
Dottorato di Ricerca in Ingegneria Civile e Industriale.Ciclo XXIXUniversità degli Studi della Ca... more Dottorato di Ricerca in Ingegneria Civile e Industriale.Ciclo XXIXUniversità degli Studi della Calabri
2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017
Big Data are having a great impact on the cities morphology and urban planning; actually, big dat... more Big Data are having a great impact on the cities morphology and urban planning; actually, big data are used, for example, to predict the needs of the public transport system, by targeting investment and mobility policies within the main metropolis. Based on this assumption, this paper presents a Decision Support System (DSS) framework aimed at proposing travel strategies alternative to car use by elaborating a large amount of transportation systems data coming from different devices. The paper focalizes on the use of Big Data in public transportation and introduces a methodological framework for collecting, integrating, aggregating, fusing, managing and disseminating data coming from different sources. Data mining approaches are applied to allow the analysis of both open Big Data, that conforms to established standards such as SIRI and GTFS, and unstructured freely available Big Data. Experimental data was collected from both a sample of smartphones and AVL systems in a case study area. The application of the proposed DSS allowed analyzing spatial and temporal coverage of the public transport services, and suggesting policies to improve the modal split.
The aim of this paper is to present a method to evaluate the quality and energy performance of in... more The aim of this paper is to present a method to evaluate the quality and energy performance of inland freight terminals, using a quantitative approach based on traffic microsimulation models. The transport of goods should meet requirements of environmental sustainability and combined transport can be an eco-friendly option for medium/long distance connections, in which the railway mode can provide its efficiency if properly accessible. The analysis of the terminal aims at quantifying Key Performance Indicators (KPIs) by traffic microsimulation. The relevant features of the typical phases of the internal process are represented and the traffic flow data of arrivals are disaggregated by specific service needs. The model is used to compare the chosen indicators in different scenarios, varying the arrival rates for trucks and reducing the duration of check-out and cranes operations. Results of quality and energy are also reported disaggregated for the differ-ent types of service lines.
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), 2016
This paper presents a study of bus services operational performance through the analysis at a sto... more This paper presents a study of bus services operational performance through the analysis at a stop level of Automatic Vehicle Location (AVL) data, using the capability of Geographic Information Systems (GIS) to analyze spatial and temporal patterns of change. In particular, the analysis is focused on the study of the reliability of public transport services that connect the most important urban centers and the airport of a low density region. The intention is to suggest transport demand management policies aimed at shifting the modal split towards public transport modes as sustainable forms of mobility, encouraging intermodality. In order to determine average travel times and the standard deviation of travel times a specific statistical analysis has been carried out. The results of this analysis have been imported into a GIS package for a further investigation of the services reliability to highlight some critical aspects and adopt specific policies and opportune solutions.
This paper presents a methodology for determining public transportation quality attributes, based... more This paper presents a methodology for determining public transportation quality attributes, based on a decision support system (DSS). The platform, once set up, combines the capability of geographic information systems (GIS) to analyze spatial attributes and the smartphone mobile technology, which is a ''smart'' solution to collect dynamically bus locations and their cinematic variables. The DSS has been applied to a real case study in order to test its reliability. The results highlight a good flexibility of the platform combined with a good level of scalability and interoperability of the system that can be applied in any context. Moreover, the high penetration rate of smartphones among users and the system capability of disag-gregating data in both space and time, makes the DSS useful to identify operational problems and take appropriate actions with a non-intrusive approach.
— This paper presents a study of bus services operational performance through the analysis at a s... more — This paper presents a study of bus services operational performance through the analysis at a stop level of Automatic Vehicle Location (AVL) data, using the capability of Geographic Information Systems (GIS) to analyze spatial and temporal patterns of change. In particular, the analysis is focused on the study of the reliability of public transport services that connect the most important urban centers and the airport of a low density region. The intention is to suggest transport demand management policies aimed at shifting the modal split towards public transport modes as sustainable forms of mobility, encouraging intermodality. In order to determine average travel times and the standard deviation of travel times a specific statistical analysis has been carried out. The results of this analysis have been imported into a GIS package for a further investigation of the services reliability to highlight some critical aspects and adopt specific policies and opportune solutions.
This paper presents a methodology for tracking moving vehicles that integrates Unmanned Aerial Ve... more This paper presents a methodology for tracking moving vehicles that integrates Unmanned Aerial Vehicles with video processing techniques. The authors investigated the usefulness of Unmanned Aerial Vehicles to capture reliable individual vehicle data by using GPS technology as a benchmark. A video processing algorithm for vehicles trajectory acquisition is introduced. The algorithm is based on OpenCV libraries. In order to assess the accuracy of the proposed video processing algorithm an instrumented vehicle was equipped with a high precision GPS. The video capture experiments were performed in two case studies. From the field, about 24,000 positioning data were acquired for the analysis. The results of these experiments highlight the versatility of the Unmanned Aerial Vehicles technology combined with video processing technique in monitoring real traffic data.
This paper presents a methodology for determining public transportation quality attributes, based... more This paper presents a methodology for determining public transportation quality attributes, based on a decision support system (DSS). The platform, once set up, combines the capability of geographic information systems (GIS) to analyze spatial attributes and the smartphone mobile technology, which is a ''smart'' solution to collect dynamically bus locations and their cinematic variables. The DSS has been applied to a real case study in order to test its reliability. The results highlight a good flexibility of the platform combined with a good level of scalability and interoperability of the system that can be applied in any context. Moreover, the high penetration rate of smartphones among users and the system capability of disag-gregating data in both space and time, makes the DSS useful to identify operational problems and take appropriate actions with a non-intrusive approach.
Uploads
Papers by Daniele Rogano