Luca Rosati | "Tor Vergata" University of Rome (original) (raw)

Papers by Luca Rosati

Research paper thumbnail of Real-time dynamic modelling of transit system evolution

This paper deals with dynamic transit models for the real-time short-term predictions of transit ... more This paper deals with dynamic transit models for the real-time short-term predictions of transit system evolution to be used by transit agencies to support operations control and traveller information. Such predictions are carried out by using a network modelling approach based on schedule-based dynamic models, which are the core of a transit simulation framework called DYBUS. The first part of the paper gives an overview of models and methods to predict link travel times and vehicle loads, which are the main state variables to represent the transit system evolution; the latter presents the architecture and the main modelling components of the transit simulation framework

Research paper thumbnail of City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems

Http Dx Doi Org 10 1080 12265934 2014 928601, Jul 25, 2014

ABSTRACT The growing necessity to improve city sustainability and liveability has pushed local ad... more ABSTRACT The growing necessity to improve city sustainability and liveability has pushed local administrators to look also at medium/long-term city logistics measures, such as land-use governance policies. In order to assess long-term scenarios, it is necessary to have models and methods able to take into account the effects on shopping mobility and goods restocking, generated by these classes of measures (e.g. relocation of shopping zones). Besides, we have to consider that modifications of shopping attitudes, deriving from changes of demographic and socio-economic characteristics of end consumers, can impact on purchasing behaviour and hence on restocking mobility. The paper discusses a number of issues related to the simulation of medium/long-term scenarios and presents a system of models that considers shopping mobility and restocking jointly. The presented shopping demand models, in combination with urban restocking models, are implemented within a simulation support system named CLASS (City Logistics Analysis and Simulation Support) and are used to assess the effects on the freight restocking due to demographic and socio-economic variations including some hypotheses on new land-use development governance measures in a medium-size urban area. The main results confirm the modelling goodness and, at the same time, demonstrate that changes in demographic and socio-economic characteristics could cause relevant effects, in particular, increasing car use in shopping mobility. The e-shopping growing could limit the negative effects of these changes, but the impacts of home deliveries have to be considered. The relocation of commercial and logistics centres, closer to the residential distribution, could drive a different restocking pattern with a consequent reduction of freight vehicle mobility. Anyway, this reduction is not very relevant and therefore further city logistics measures have to be implemented.

Research paper thumbnail of A Mesoscopic Transit Assignment Model Including Real-Time Predictive Information on Crowding

Journal of Intelligent Transportation Systems, 2016

Research paper thumbnail of A demand model system for extra urban shopping trips

Research paper thumbnail of A Methodology for the Assessment of Rail-road Freight Transport Policies

Procedia - Social and Behavioral Sciences, 2013

This paper presents a methodology to evaluate rail-road freight policies such as new services and... more This paper presents a methodology to evaluate rail-road freight policies such as new services and/or incentives for longdistance freight transport by using a mixed what-if/what-to approach. It uses a specific mode-service choice model to share the freight demand among alternatives (rail-road combined transport, maritime Ro-Ro and road transport) and a service network design model to identify new rail-road freight services. This methodology is designed to be easily integrated within a Decision Support System to allocate the freight transport policies. Finally, in order to show the applicability of the proposed approach, some application examples carried out to support Italian Ministry of Transport in the development of the new Italian National Transport Plan are presented.

Research paper thumbnail of Advanced Trip Planners for Transit Networks: Some Theoretical and Experimental Aspects of Pre-Trip Path Choice Modeling

Advances in Intelligent Systems and Computing, 2014

ABSTRACT The paper reports the first results of a research project for the definition of an advan... more ABSTRACT The paper reports the first results of a research project for the definition of an advanced trip planner for transit networks. The project at the current stage has developed the module to support the user with personalised pre-trip information based on his/her preferences. The first part of the paper describes the user needs and the logical architecture of the trip planner. The second part deals with the theoretical aspects of the path choice model used to support the path choice set individuation, the path utility calculation and the user preference learning procedure. In order to apply the theoretical framework and to show the benefits of the proposed approach, some experimental results of a test case on the transit system of the metropolitan area of Rome are presented.

Research paper thumbnail of A new Advanced Traveler Advisory Tool based on personal user preferences

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014

ABSTRACT This paper focuses on an Advanced Traveler Advisory Tool (ATAT) aiming at supporting use... more ABSTRACT This paper focuses on an Advanced Traveler Advisory Tool (ATAT) aiming at supporting users travelling on multimodal networks and at suggesting the best path set according to user personal preferences. In order to find the best personal paths, the presented ATAT uses the Random Utility Theory framework to assign an estimation of the path utility perceived by the user for each path alternative. The first part of this paper illustrates the user needs and the ATAT logical architecture, and presents the modeling framework able to provide personalized pre-trip and en-route information. The second part reports the results of some test applications and the results of a benefit assessment of the ATAT use for transit travelers.

Research paper thumbnail of An advanced pre-trip planner with personalized information on transit networks with ATIS

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013

Research paper thumbnail of STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013

ABSTRACT

Research paper thumbnail of Short-Term Prediction of Vehicle Occupancy in Advanced Public Transportation Information Systems (APTIS)

Operations Research/Computer Science Interfaces Series, 2004

Research paper thumbnail of Enterprise Engineering Department of University of Rome “Tor Vergata” ITALY

Research paper thumbnail of A methodology for the assessment of walk-to-school projects for a sustainable transport

Research paper thumbnail of Dynamic Transit Path Choice Modelling for a Traveller Tool with ATIS and Trip Planner

The paper reports the first results of a research project for the definition of a Traveller Tool ... more The paper reports the first results of a research project for the definition of a Traveller Tool for multimodal networks. The system, designed for mobile applications, gives dynamic real time information to the user for the best path choice from the traveller's utility point of view. The project at the current stage has developed a trip planner to support the user on transit networks with personalised pre-trip information based on user's preferences. The first part the paper describes the user needs and the architecture of the transit component of the system. The second part deals with the dynamic path choice model used to support the path choice set individuation and ranking, and with the user preference learning procedure. Finally, experimental applications of the system to support transit users with pre-trip personalised information are presented.

Research paper thumbnail of Land-use planning and city logistics sustainability: scenario simulation tools

Research paper thumbnail of A demand model system for extra urban shopping trips

Research paper thumbnail of La previsione in tempo-reale del carico a bordo dei veicoli nei sistemi informativi delle reti di trasporto collettivo

Metodi e tecnologie dell …, 2005

Nuzzolo, A., Crisalli, U., Coppola, P., & Rosati, L. (2005). La previsione in tempo-reale del car... more Nuzzolo, A., Crisalli, U., Coppola, P., & Rosati, L. (2005). La previsione in tempo-reale del carico a bordo dei veicoli nei sistemi informativi delle reti di trasporto collettivo. In Metodi e tecnologie dell'ingegneria dei trasporti. Seminario 2002. ROMA -- ITA : Franco Angeli Editore.

Research paper thumbnail of DYBUS2: a real-time mesoscopic transit modeling framework

Aiming at solving the problem of predicting in real-time the dynamic evolution of a transit syste... more Aiming at solving the problem of predicting
in real-time the dynamic evolution of a transit system, this
paper presents DYBUS2, a modeling framework proposed
to overcome some limits of existing models by considering:
(i) dynamic real-time simulation; (ii) modeling of travel
behavior in the sphere of real-time information, by using a
travel strategy approach; (iii) real-time prediction of onboard
crowding, the information system should give to
travelers; (iv) mesoscopic approach also on the demand
side, by grouping travelers in packets. The first part of the
paper gives an overview both of general transit network
modeling and of DYBUS2 architecture; the latter presents
the main modeling components, focusing on the new
proposal for the real-time dynamic path choice modeling.

Research paper thumbnail of An advanced traveller advisor tool based on individual preferences

This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel ... more This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel Advisor), an Advanced
Traveller Advisory Tool (ATAT) under development at the Transport Centre of the “Tor Vergata” University of Rome. It should
be able to assist users travelling on multimodal networks, suggesting the best paths according to their personal preferences. Such
paths are individuated on the basis of the estimation of a perceived path utility formalised within the Random Utility Theory.
The first part of this paper illustrates the user needs, the logical and the functional architecture of TVPTA; it also includes the
transit modelling framework to provide personalized pre-trip information and the learning process to capture individual
preferences. The second part describes an implementation example of TVPTA concepts in the metropolitan area of Rome (Italy).

Research paper thumbnail of CLASS: a DSS for the analysis and the simulation of urban freight systems

The complexity of methods and models for the investigation of urban freight systems has pushed re... more The complexity of methods and models for the investigation of urban freight systems has pushed researchers to develop decision
support systems (DSS) for the analysis and simulation of the effects of city logistics measures and the effects of exogenous
scenario changes, as land-use, demographic and socio-economic characteristics. In fact, today these types of systems provide to
support decision-makers to understand and simulate the structure of freight urban system and to compute some indicators that
compared with target and benchmarking values allow to identify its level of service. Such a DSS, named CLASS (City Logistics
Analysis and Simulation Support System), has been recently proposed and in this paper some advancements are presented. Then,
two application examples for the simulation of urban freight transport in a large urban area and the assessment of freight
distribution activity location in a medium size urban area are presented.

Research paper thumbnail of City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems

The growing necessity to improve city sustainability and liveability has pushed local administrat... more The growing necessity to improve city sustainability and liveability has pushed local administrators to look also at medium/long-term city logistics measures, such as land-use governance policies. In order to assess long-term scenarios, it is necessary to have models and methods able to take into account the effects on shopping mobility and goods restocking, generated by these classes of measures (e.g. relocation of shopping zones). Besides, we have to consider that modifications of shopping attitudes, deriving from changes of demographic and socio-economic characteristics of end consumers, can impact on purchasing behaviour and hence on restocking mobility. This paper discusses a number of issues related to the simulation of medium/long-term scenarios and presents a system of models that consider shopping mobility and restocking jointly. The presented shopping demand models, in combination with urban restocking models, are implemented within a simulation support system named City Logistics Analysis and Simulation Support System and are used to assess the effects on the freight restocking due to demographic and socio-economic variations including some hypotheses on new land-use development governance measures in a medium-size urban area. The main results confirm the modelling goodness and, at the same time, demonstrate that changes in demographic and socio-economic characteristics could cause relevant effects, in particular increasing car use in shopping mobility. The growing e-shopping could limit the negative effects of these changes, but the impacts of home deliveries have to be considered. The relocation of commercial and logistics centres, closer to the residential distribution, could drive a different restocking pattern with a consequent reduction in freight vehicle mobility. Anyway, this reduction is not very relevant and therefore further city logistics measures have to be implemented.

Research paper thumbnail of Real-time dynamic modelling of transit system evolution

This paper deals with dynamic transit models for the real-time short-term predictions of transit ... more This paper deals with dynamic transit models for the real-time short-term predictions of transit system evolution to be used by transit agencies to support operations control and traveller information. Such predictions are carried out by using a network modelling approach based on schedule-based dynamic models, which are the core of a transit simulation framework called DYBUS. The first part of the paper gives an overview of models and methods to predict link travel times and vehicle loads, which are the main state variables to represent the transit system evolution; the latter presents the architecture and the main modelling components of the transit simulation framework

Research paper thumbnail of City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems

Http Dx Doi Org 10 1080 12265934 2014 928601, Jul 25, 2014

ABSTRACT The growing necessity to improve city sustainability and liveability has pushed local ad... more ABSTRACT The growing necessity to improve city sustainability and liveability has pushed local administrators to look also at medium/long-term city logistics measures, such as land-use governance policies. In order to assess long-term scenarios, it is necessary to have models and methods able to take into account the effects on shopping mobility and goods restocking, generated by these classes of measures (e.g. relocation of shopping zones). Besides, we have to consider that modifications of shopping attitudes, deriving from changes of demographic and socio-economic characteristics of end consumers, can impact on purchasing behaviour and hence on restocking mobility. The paper discusses a number of issues related to the simulation of medium/long-term scenarios and presents a system of models that considers shopping mobility and restocking jointly. The presented shopping demand models, in combination with urban restocking models, are implemented within a simulation support system named CLASS (City Logistics Analysis and Simulation Support) and are used to assess the effects on the freight restocking due to demographic and socio-economic variations including some hypotheses on new land-use development governance measures in a medium-size urban area. The main results confirm the modelling goodness and, at the same time, demonstrate that changes in demographic and socio-economic characteristics could cause relevant effects, in particular, increasing car use in shopping mobility. The e-shopping growing could limit the negative effects of these changes, but the impacts of home deliveries have to be considered. The relocation of commercial and logistics centres, closer to the residential distribution, could drive a different restocking pattern with a consequent reduction of freight vehicle mobility. Anyway, this reduction is not very relevant and therefore further city logistics measures have to be implemented.

Research paper thumbnail of A Mesoscopic Transit Assignment Model Including Real-Time Predictive Information on Crowding

Journal of Intelligent Transportation Systems, 2016

Research paper thumbnail of A demand model system for extra urban shopping trips

Research paper thumbnail of A Methodology for the Assessment of Rail-road Freight Transport Policies

Procedia - Social and Behavioral Sciences, 2013

This paper presents a methodology to evaluate rail-road freight policies such as new services and... more This paper presents a methodology to evaluate rail-road freight policies such as new services and/or incentives for longdistance freight transport by using a mixed what-if/what-to approach. It uses a specific mode-service choice model to share the freight demand among alternatives (rail-road combined transport, maritime Ro-Ro and road transport) and a service network design model to identify new rail-road freight services. This methodology is designed to be easily integrated within a Decision Support System to allocate the freight transport policies. Finally, in order to show the applicability of the proposed approach, some application examples carried out to support Italian Ministry of Transport in the development of the new Italian National Transport Plan are presented.

Research paper thumbnail of Advanced Trip Planners for Transit Networks: Some Theoretical and Experimental Aspects of Pre-Trip Path Choice Modeling

Advances in Intelligent Systems and Computing, 2014

ABSTRACT The paper reports the first results of a research project for the definition of an advan... more ABSTRACT The paper reports the first results of a research project for the definition of an advanced trip planner for transit networks. The project at the current stage has developed the module to support the user with personalised pre-trip information based on his/her preferences. The first part of the paper describes the user needs and the logical architecture of the trip planner. The second part deals with the theoretical aspects of the path choice model used to support the path choice set individuation, the path utility calculation and the user preference learning procedure. In order to apply the theoretical framework and to show the benefits of the proposed approach, some experimental results of a test case on the transit system of the metropolitan area of Rome are presented.

Research paper thumbnail of A new Advanced Traveler Advisory Tool based on personal user preferences

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014

ABSTRACT This paper focuses on an Advanced Traveler Advisory Tool (ATAT) aiming at supporting use... more ABSTRACT This paper focuses on an Advanced Traveler Advisory Tool (ATAT) aiming at supporting users travelling on multimodal networks and at suggesting the best path set according to user personal preferences. In order to find the best personal paths, the presented ATAT uses the Random Utility Theory framework to assign an estimation of the path utility perceived by the user for each path alternative. The first part of this paper illustrates the user needs and the ATAT logical architecture, and presents the modeling framework able to provide personalized pre-trip and en-route information. The second part reports the results of some test applications and the results of a benefit assessment of the ATAT use for transit travelers.

Research paper thumbnail of An advanced pre-trip planner with personalized information on transit networks with ATIS

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013

Research paper thumbnail of STOP: A Short term Transit Occupancy Prediction tool for APTIS and real time transit management systems

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013

ABSTRACT

Research paper thumbnail of Short-Term Prediction of Vehicle Occupancy in Advanced Public Transportation Information Systems (APTIS)

Operations Research/Computer Science Interfaces Series, 2004

Research paper thumbnail of Enterprise Engineering Department of University of Rome “Tor Vergata” ITALY

Research paper thumbnail of A methodology for the assessment of walk-to-school projects for a sustainable transport

Research paper thumbnail of Dynamic Transit Path Choice Modelling for a Traveller Tool with ATIS and Trip Planner

The paper reports the first results of a research project for the definition of a Traveller Tool ... more The paper reports the first results of a research project for the definition of a Traveller Tool for multimodal networks. The system, designed for mobile applications, gives dynamic real time information to the user for the best path choice from the traveller's utility point of view. The project at the current stage has developed a trip planner to support the user on transit networks with personalised pre-trip information based on user's preferences. The first part the paper describes the user needs and the architecture of the transit component of the system. The second part deals with the dynamic path choice model used to support the path choice set individuation and ranking, and with the user preference learning procedure. Finally, experimental applications of the system to support transit users with pre-trip personalised information are presented.

Research paper thumbnail of Land-use planning and city logistics sustainability: scenario simulation tools

Research paper thumbnail of A demand model system for extra urban shopping trips

Research paper thumbnail of La previsione in tempo-reale del carico a bordo dei veicoli nei sistemi informativi delle reti di trasporto collettivo

Metodi e tecnologie dell …, 2005

Nuzzolo, A., Crisalli, U., Coppola, P., & Rosati, L. (2005). La previsione in tempo-reale del car... more Nuzzolo, A., Crisalli, U., Coppola, P., & Rosati, L. (2005). La previsione in tempo-reale del carico a bordo dei veicoli nei sistemi informativi delle reti di trasporto collettivo. In Metodi e tecnologie dell'ingegneria dei trasporti. Seminario 2002. ROMA -- ITA : Franco Angeli Editore.

Research paper thumbnail of DYBUS2: a real-time mesoscopic transit modeling framework

Aiming at solving the problem of predicting in real-time the dynamic evolution of a transit syste... more Aiming at solving the problem of predicting
in real-time the dynamic evolution of a transit system, this
paper presents DYBUS2, a modeling framework proposed
to overcome some limits of existing models by considering:
(i) dynamic real-time simulation; (ii) modeling of travel
behavior in the sphere of real-time information, by using a
travel strategy approach; (iii) real-time prediction of onboard
crowding, the information system should give to
travelers; (iv) mesoscopic approach also on the demand
side, by grouping travelers in packets. The first part of the
paper gives an overview both of general transit network
modeling and of DYBUS2 architecture; the latter presents
the main modeling components, focusing on the new
proposal for the real-time dynamic path choice modeling.

Research paper thumbnail of An advanced traveller advisor tool based on individual preferences

This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel ... more This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel Advisor), an Advanced
Traveller Advisory Tool (ATAT) under development at the Transport Centre of the “Tor Vergata” University of Rome. It should
be able to assist users travelling on multimodal networks, suggesting the best paths according to their personal preferences. Such
paths are individuated on the basis of the estimation of a perceived path utility formalised within the Random Utility Theory.
The first part of this paper illustrates the user needs, the logical and the functional architecture of TVPTA; it also includes the
transit modelling framework to provide personalized pre-trip information and the learning process to capture individual
preferences. The second part describes an implementation example of TVPTA concepts in the metropolitan area of Rome (Italy).

Research paper thumbnail of CLASS: a DSS for the analysis and the simulation of urban freight systems

The complexity of methods and models for the investigation of urban freight systems has pushed re... more The complexity of methods and models for the investigation of urban freight systems has pushed researchers to develop decision
support systems (DSS) for the analysis and simulation of the effects of city logistics measures and the effects of exogenous
scenario changes, as land-use, demographic and socio-economic characteristics. In fact, today these types of systems provide to
support decision-makers to understand and simulate the structure of freight urban system and to compute some indicators that
compared with target and benchmarking values allow to identify its level of service. Such a DSS, named CLASS (City Logistics
Analysis and Simulation Support System), has been recently proposed and in this paper some advancements are presented. Then,
two application examples for the simulation of urban freight transport in a large urban area and the assessment of freight
distribution activity location in a medium size urban area are presented.

Research paper thumbnail of City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems

The growing necessity to improve city sustainability and liveability has pushed local administrat... more The growing necessity to improve city sustainability and liveability has pushed local administrators to look also at medium/long-term city logistics measures, such as land-use governance policies. In order to assess long-term scenarios, it is necessary to have models and methods able to take into account the effects on shopping mobility and goods restocking, generated by these classes of measures (e.g. relocation of shopping zones). Besides, we have to consider that modifications of shopping attitudes, deriving from changes of demographic and socio-economic characteristics of end consumers, can impact on purchasing behaviour and hence on restocking mobility. This paper discusses a number of issues related to the simulation of medium/long-term scenarios and presents a system of models that consider shopping mobility and restocking jointly. The presented shopping demand models, in combination with urban restocking models, are implemented within a simulation support system named City Logistics Analysis and Simulation Support System and are used to assess the effects on the freight restocking due to demographic and socio-economic variations including some hypotheses on new land-use development governance measures in a medium-size urban area. The main results confirm the modelling goodness and, at the same time, demonstrate that changes in demographic and socio-economic characteristics could cause relevant effects, in particular increasing car use in shopping mobility. The growing e-shopping could limit the negative effects of these changes, but the impacts of home deliveries have to be considered. The relocation of commercial and logistics centres, closer to the residential distribution, could drive a different restocking pattern with a consequent reduction in freight vehicle mobility. Anyway, this reduction is not very relevant and therefore further city logistics measures have to be implemented.