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Widespread adoption of green vehicles in urban logistics may contribute to the alleviation of problems such as environmental pollution, global warming, and oil dependency. However, the current adoption of green vehicles in the last mile logistics is relatively low despite many actions taken by public authorities to overcome the negative externalities of distributing goods in cities. This paper presents a comprehensive literature review on studies investigating the adoption of green vehicles in urban freight transportation, paying specific attention to e-commerce. To shed light on the adoption of green vehicles in city logistics, the paper conducts a systematic review of the empirical literature on the topic. The 159 articles reviewed were classified into the following: (a) Optimization and scheduling (67 papers); (b) policy (55 papers); (c) sustainability (37 papers). Among the 159 articles, a further selection of 17 papers dealing with e-commerce, i.e., studies that highlight the most relevant aspects related to the integration of green vehicles in e-commerce urban logistics, was performed. Our findings indicate that green vehicles are competitive in urban deliveries characterized by frequent stop-and-go movements and low consolidation levels while incentives are still necessary for their adoption. The use of autonomous vehicles results the most promising and challenging solution for last-mile logistics.
Sergio Patella; Gianluca Grazieschi; Valerio Gatta; Edoardo Marcucci; Stefano Carrese. The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review. Sustainability 2020, 13, 6 .
AMA StyleSergio Patella, Gianluca Grazieschi, Valerio Gatta, Edoardo Marcucci, Stefano Carrese. The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review. Sustainability. 2020; 13 (1):6.
Chicago/Turabian StyleSergio Patella; Gianluca Grazieschi; Valerio Gatta; Edoardo Marcucci; Stefano Carrese. 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review." Sustainability 13, no. 1: 6.
Dealing with emergencies is never an easy task. Coping with the Covid-19 emergency was and still is an incredibly tough and unprecedent challenge for mankind, not only from a healthy point of view, but also from a socio-economic point of view, where a key role will be played by a reliable and sustainable transport of people and goods. Professional and researchers from all disciplines have been required to adapt their models, methods and tools to support decision makers in coronavirus emergency days. This paper reports the experience of the authors for the analysis of the Rome mobility system to estimate the impacts of the progressive lockdown imposed by the government. It focuses on data available for monitoring, which have been used to carry out transport analytics both for private and public transport. Such analytics have been used for planning the reboot of the transport system to be ready for the post Covid-19 era.
Stefano Brinchi; Stefano Carrese; Ernesto Cipriani; Chiara Colombaroni; Umberto Crisalli; Gaetano Fusco; Andrea Gemma; Natalia Isaenko; Livia Mannini; Marco Petrelli. Covid-19 Transport Analytics: Analysis of Rome Mobility During Coronavirus Pandemic Era. Advances in Intelligent Systems and Computing 2020, 1045 -1055.
AMA StyleStefano Brinchi, Stefano Carrese, Ernesto Cipriani, Chiara Colombaroni, Umberto Crisalli, Gaetano Fusco, Andrea Gemma, Natalia Isaenko, Livia Mannini, Marco Petrelli. Covid-19 Transport Analytics: Analysis of Rome Mobility During Coronavirus Pandemic Era. Advances in Intelligent Systems and Computing. 2020; ():1045-1055.
Chicago/Turabian StyleStefano Brinchi; Stefano Carrese; Ernesto Cipriani; Chiara Colombaroni; Umberto Crisalli; Gaetano Fusco; Andrea Gemma; Natalia Isaenko; Livia Mannini; Marco Petrelli. 2020. "Covid-19 Transport Analytics: Analysis of Rome Mobility During Coronavirus Pandemic Era." Advances in Intelligent Systems and Computing , no. : 1045-1055.
Carsharing represents a major example of smart mobility service that allows a customer to rent a vehicle for a limited amount of time paying a per-minute fee. It may relieve people of the costly and non-sustainable burden of owning a car, especially when residing in a city. Though the spread of carsharing may bring significative benefits to (smart) cities, its penetration can be obstructed by non-up-to-date regulations, which can be still tied to a non-smart vision of mobility. In this study, we provide an overview of remarkable city regulations for carsharing, particularly highlighting the importance that parking policies can have in favouring the diffusion and use of carsharing services. Given such importance, we characterize the optimization problem of a local government that wants to analytically choose the best subset of parking slots to rent to carsharing companies, in order to improve urban mobility. To model and solve the problem we propose a new Binary Linear Programming problem and genetic-based matheuristic. Finally, we present results from computational tests referring to realistic data of the Italian city of Rome, showing that our optimization approach can return a fair territorial distribution of the parking slots, satisfying various families of constraints limiting the distribution.
Stefano Carrese; Fabio D'Andreagiovanni; Tommaso Giacchetti; Antonella Nardin; Leonardo Zamberlan. An optimization model and genetic-based matheuristic for parking slot rent optimization to carsharing. Research in Transportation Economics 2020, 85, 100962 .
AMA StyleStefano Carrese, Fabio D'Andreagiovanni, Tommaso Giacchetti, Antonella Nardin, Leonardo Zamberlan. An optimization model and genetic-based matheuristic for parking slot rent optimization to carsharing. Research in Transportation Economics. 2020; 85 ():100962.
Chicago/Turabian StyleStefano Carrese; Fabio D'Andreagiovanni; Tommaso Giacchetti; Antonella Nardin; Leonardo Zamberlan. 2020. "An optimization model and genetic-based matheuristic for parking slot rent optimization to carsharing." Research in Transportation Economics 85, no. : 100962.
Private car dependence has adverse effects on both mental and physical health. Travel Demand Management (TDM) strategies are adopted by public and private organizations to encourage users to switch to sustainable transport for daily commutes. Originally, mobility management only focused on employees, but recently various universities worldwide have started to adopt policies specifically targeted at students. To improve their effectiveness, an innovative approach to TDM based on a GPS smartphone application is tested at University of RomaTre (Italy) on a sample of students. The strategy identifies the integration of all mobility management activities into one smartphone application called IPET (Individual Persuasive Eco-Travel Technology). The IPET enables activity-travel data collection and automatic processing, personalized information provision, use of persuasive technology and implementation of a gamification system. Two questionnaires were conducted before-and-after the measure, to assess its effects on psycho-attitudinal factors. The main objective of the investigation was to analyze individuals’ voluntary behavioral changes with regard to travel mode and everyday behavior following implementation of a personalized travel plan. Data analysis indicated a strong positive change in the level of awareness regarding CO2 emissions and calories burnt after the program implementation. Comparison of GPS data collected in the first and second weeks showed, for those who received a personalized travel plan, an 8.1% shift towards more sustainable transport modes.
Eleonora Sottile; Tommaso Giacchetti; Giovanni Tuveri; Francesco Piras; Daniele Calli; Vittoria Concas; Leonardo Zamberlan; Italo Meloni; Stefano Carrese. An innovative GPS smartphone based strategy for university mobility management: A case study at the University of RomaTre, Italy. Research in Transportation Economics 2020, 85, 100926 .
AMA StyleEleonora Sottile, Tommaso Giacchetti, Giovanni Tuveri, Francesco Piras, Daniele Calli, Vittoria Concas, Leonardo Zamberlan, Italo Meloni, Stefano Carrese. An innovative GPS smartphone based strategy for university mobility management: A case study at the University of RomaTre, Italy. Research in Transportation Economics. 2020; 85 ():100926.
Chicago/Turabian StyleEleonora Sottile; Tommaso Giacchetti; Giovanni Tuveri; Francesco Piras; Daniele Calli; Vittoria Concas; Leonardo Zamberlan; Italo Meloni; Stefano Carrese. 2020. "An innovative GPS smartphone based strategy for university mobility management: A case study at the University of RomaTre, Italy." Research in Transportation Economics 85, no. : 100926.
The research presented in this paper is focused on the definition of a new methodology for evaluating how illuminated crosswalks influence drivers’ behavior when approaching the zebra in nighttime conditions. The proposed methodology is based on in situ speed measurements, and cars’ speed was detected in an urban road segment of the city of Rome with a Telelaser instrument. Vehicles speed profiles are measured in the same road segment both in LED-illuminated conditions and in non-illuminated conditions. Results have shown a promising impact of the LED lighting system on pedestrian safety. In fact, cars’ mean speed decreases by 19.3% at the crosswalk section in illuminated conditions. Moreover, a positive effect on safety, in terms of mean speed reduction (−16.4%), was found even in the absence of pedestrians.
Sergio Maria Patella; Simone Sportiello; Stefano Carrese; Francesco Bella; Francesco Asdrubali. The Effect of a LED Lighting Crosswalk on Pedestrian Safety: Some Experimental Results. Safety 2020, 6, 20 .
AMA StyleSergio Maria Patella, Simone Sportiello, Stefano Carrese, Francesco Bella, Francesco Asdrubali. The Effect of a LED Lighting Crosswalk on Pedestrian Safety: Some Experimental Results. Safety. 2020; 6 (2):20.
Chicago/Turabian StyleSergio Maria Patella; Simone Sportiello; Stefano Carrese; Francesco Bella; Francesco Asdrubali. 2020. "The Effect of a LED Lighting Crosswalk on Pedestrian Safety: Some Experimental Results." Safety 6, no. 2: 20.
This study deals with downstream logistics of Liquefied Petroleum Gas (LPG) by tank trucks both at regional and urban level. The distribution problem is formulated as a capacitated Vehicle Routing Problem (VRP) with time windows. Its solution is based on a two steps procedure with the aim of maximizing the revenue of the logistic operator: 1) in the first step, the problem is solved at suburban level, where each delivery point represents a municipality in the study area. The employed objective function of the VRP has been conceived as to integrate the usual operating costs with aspects related to infrastructure characteristics of the used paths; 2) in the second step, door to door deliveries at urban level are attempted, taking into account the operating costs and the last delivery time for each potential client. The method has been applied in a real case study based in the city of Perugia, Italy. Sensitivity analysis considering different values for the parameters regulating the relative weights of the objective function components has been performed. Results show that the potential revenues for the operator can be doubled through the proposed optimization procedure. Moreover, explicitly taking into account that not all roads are suitable for vehicles transporting hazardous materials can increase the security of the distribution process, resulting in a service cost increase of just +1.4% with respect to extant conditions.
Stefano Carrese; Marialisa Nigro; Luigi Pallante. A procedure for optimizing hazardous materials transportation including road infrastructures’ characteristics and door-to-door attempted deliveries. Transportation Research Procedia 2020, 45, 317 -324.
AMA StyleStefano Carrese, Marialisa Nigro, Luigi Pallante. A procedure for optimizing hazardous materials transportation including road infrastructures’ characteristics and door-to-door attempted deliveries. Transportation Research Procedia. 2020; 45 ():317-324.
Chicago/Turabian StyleStefano Carrese; Marialisa Nigro; Luigi Pallante. 2020. "A procedure for optimizing hazardous materials transportation including road infrastructures’ characteristics and door-to-door attempted deliveries." Transportation Research Procedia 45, no. : 317-324.
The paper focuses on the fuel transport optimization network for the Total Erg Oil Company to the distribution points sited in a zone near Rome, in Italy. The numerical method is based on a capacitated vehicle itinerary issue for time intervals, considering various heuristic procedures. The fixed and time-dependent travel times are considered. Compared to the standard operational costs, a multivariable objective function is developed that considers: (1) the risk associated with an incidental event involving a fuel tank; (2) that not all the roads are suitable for heavy vehicles transporting fuel products. These two additional terms permit to better quantify the costs for the operator, since it is assumed that roads with higher number of accidents or with not suitable infrastructure conditions have also higher probability of making the fuel tank experiences at least a delay during the day. Results show that a proper vehicle routes design on our multivariable objective function allows economizing about 40 km daily respect to a benchmark. The fuel company can also consider the itinerary design, modifying the weights used with the aim to comprise the additional variables with respect to the standard operational costs, thus assuring a higher safety route planning.
Stefano Carrese; Valerio Cuneo; Marialisa Nigro; Raffaele Pizzuti; Cosimo Federico Ardito; Guido Marseglia. Optimization of downstream fuel logistics based on road infrastructure conditions and exposure to accident events. Transport Policy 2019, 1 .
AMA StyleStefano Carrese, Valerio Cuneo, Marialisa Nigro, Raffaele Pizzuti, Cosimo Federico Ardito, Guido Marseglia. Optimization of downstream fuel logistics based on road infrastructure conditions and exposure to accident events. Transport Policy. 2019; ():1.
Chicago/Turabian StyleStefano Carrese; Valerio Cuneo; Marialisa Nigro; Raffaele Pizzuti; Cosimo Federico Ardito; Guido Marseglia. 2019. "Optimization of downstream fuel logistics based on road infrastructure conditions and exposure to accident events." Transport Policy , no. : 1.
S.M. Patella; Flavio Scrucca; Francesco Asdrubali; Stefano Carrese. Carbon Footprint of autonomous vehicles at the urban mobility system level: A traffic simulation-based approach. Transportation Research Part D: Transport and Environment 2019, 74, 189 -200.
AMA StyleS.M. Patella, Flavio Scrucca, Francesco Asdrubali, Stefano Carrese. Carbon Footprint of autonomous vehicles at the urban mobility system level: A traffic simulation-based approach. Transportation Research Part D: Transport and Environment. 2019; 74 ():189-200.
Chicago/Turabian StyleS.M. Patella; Flavio Scrucca; Francesco Asdrubali; Stefano Carrese. 2019. "Carbon Footprint of autonomous vehicles at the urban mobility system level: A traffic simulation-based approach." Transportation Research Part D: Transport and Environment 74, no. : 189-200.
This paper presents a model to evaluate the life cycle greenhouse gases (GHG) emissions, expressed in terms of carbon dioxide equivalent (CO2eq), of a generic fleet composition as a function of the traffic simulation results. First we evaluated the complete life cycle of each category of the vehicles currently circulating; next, by defining a general linear equation, the traffic environmental performances of a real road network (city of Rome) were evaluated using a traffic simulation approach. Finally, the proposed methodology was applied to evaluate the GHG emission of a 100% penetration of battery electric vehicles (BEVs) and various electric and conventional vehicles composition scenarios. In terms of life cycle impacts, BEVs are the vehicles with the highest GHG emissions at the vehicle level (construction + maintenance + end-of-life processes) that are, on average, 20% higher than internal combustion engine vehicles, and 6.5% higher than hybrid electric vehicles (HEVs). Nevertheless, a 100% BEVs penetration scenario generates a reduction of the environmental impact at the mobility system level of about 65%.
Sergio Maria Patella; Flavio Scrucca; Francesco Asdrubali; Stefano Carrese. Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model. Sustainability 2019, 11, 4328 .
AMA StyleSergio Maria Patella, Flavio Scrucca, Francesco Asdrubali, Stefano Carrese. Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model. Sustainability. 2019; 11 (16):4328.
Chicago/Turabian StyleSergio Maria Patella; Flavio Scrucca; Francesco Asdrubali; Stefano Carrese. 2019. "Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model." Sustainability 11, no. 16: 4328.
Sharing Mobility is characterized by a high digital component able to supply customers with a considerable level of flexibility in urban trips. The study was conducted focusing on the E-go car sharing project, promoted by University of Roma Tre and Enel Energia S.p.A. E-go is an university electric car sharing system. The paper provides a double contribution to the research activity on sharing mobility: i) the exploration of the electric car sharing potential demand among students; ii) the implementation of an Hybrid Choice Model to analyze the role of the pro-environmental attitude on the users’ willingness to use car sharing. The analysis has been based on the data collected in a survey among the potential users of the e-go car sharing service. One of the first findings of the study is that the pro-environmental attitude doesn’t significantly influence the choice of the users. The authors suggest to the car sharing operators and to the policy makers to take in consideration the results of the study in order to plan promotional strategies and to develop policies aiming at supporting the spread of this service.
Stefano Carrese; Ernesto Cipriani; Tommaso Giacchetti; Eleonora Sottile; Leonardo Zamberlan. Hybrid Choice Model to analyze electric car sharing demand in a university community. 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) 2019, 1 -6.
AMA StyleStefano Carrese, Ernesto Cipriani, Tommaso Giacchetti, Eleonora Sottile, Leonardo Zamberlan. Hybrid Choice Model to analyze electric car sharing demand in a university community. 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2019; ():1-6.
Chicago/Turabian StyleStefano Carrese; Ernesto Cipriani; Tommaso Giacchetti; Eleonora Sottile; Leonardo Zamberlan. 2019. "Hybrid Choice Model to analyze electric car sharing demand in a university community." 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) , no. : 1-6.
This paper presents the case study of a corporate relocation from Rome’s suburbs to the historic city centre. This case study focused on a “reverse” workplace relocation: as a product of car-based living, the metropolitan areas are characterized by decentralized jobs. The new location, where the employees will move, is located in a restricted traffic zone. A behavioural-based method was developed to forecast the future mode split of the employees of the firm being relocated. Next, the model’s estimates were compared with the results of a focus group interview. This approach is expected to provide reliable estimates of the mode choice, as it combined standard discrete choice modelling for a mid-term forecast and the results from a focus group interview for the short-term forecast. The results of the discrete choice model overestimated the choice of public transport, whereas from the focus group emerged that park & ride is expected to be the most chosen mode in the short-term. Finally, this case study suggested that a workplace relocation from the suburbs to the center could encourage the employees to lessen car-dependent habits.
S.M. Patella; S. Sportiello; M. Petrelli; Stefano Carrese. Workplace relocation from suburb to city center: A case study of Rome, Italy. Case Studies on Transport Policy 2019, 7, 357 -362.
AMA StyleS.M. Patella, S. Sportiello, M. Petrelli, Stefano Carrese. Workplace relocation from suburb to city center: A case study of Rome, Italy. Case Studies on Transport Policy. 2019; 7 (2):357-362.
Chicago/Turabian StyleS.M. Patella; S. Sportiello; M. Petrelli; Stefano Carrese. 2019. "Workplace relocation from suburb to city center: A case study of Rome, Italy." Case Studies on Transport Policy 7, no. 2: 357-362.
Fully Autonomous Vehicles (AVs) can self-drive in all situations, offering the highest comfort to drivers, who can pursue several activities during their trips. Under this assumption, AVs will probably affect the perception of time and its value. The research presented in this paper is a first attempt to understand if the introduction of fully AVs may generate residential relocation from the city center to the suburbs due to a different time perception. Using Stated Preferences (SP) survey technique, discrete choice modelling, and traffic simulation, the effect of urban sprawl of AV-cities on the road network in terms of congestion was evaluated. The relocated demand, estimated thorough ad hoc calibrated behavioral models, was assigned to the road network of the city of Rome (Italy). Results show an increase in travel times (about 12%) for suburban residents commuting to work in city center due to the extra-demand relocated. Instead, intra-urban road congestion would benefit from lower traffic volumes (about −10% in travel times). Moreover, this work shows the positive impact of the ride-sharing schemes with AVs by simulating different penetration rates. These results, however, should be taken with caution, as the sample is very small, travel time and travel monetary costs are ignored, as are housing costs, and mode choice and residential location are not modelled simultaneously.
Stefano Carrese; Marialisa Nigro; Sergio Maria Patella; Eleonora Toniolo. A preliminary study of the potential impact of autonomous vehicles on residential location in Rome. Research in Transportation Economics 2019, 75, 55 -61.
AMA StyleStefano Carrese, Marialisa Nigro, Sergio Maria Patella, Eleonora Toniolo. A preliminary study of the potential impact of autonomous vehicles on residential location in Rome. Research in Transportation Economics. 2019; 75 ():55-61.
Chicago/Turabian StyleStefano Carrese; Marialisa Nigro; Sergio Maria Patella; Eleonora Toniolo. 2019. "A preliminary study of the potential impact of autonomous vehicles on residential location in Rome." Research in Transportation Economics 75, no. : 55-61.
The paper analyses a practical case of study related to the distribution of fuels for the Total Erg Oil Company to the service stations located in the Province of Rome (Italy). The problem is formulated as a capacitated vehicle routing problem with time windows, where several heuristic procedures have been tested, considering both static and dynamic travel times. With respect to the standard operational costs used typically, a multivariable objective function has been proposed which takes into account also a new risk index. The risk index proposed is function of the population density of the zones covered by each path and of the estimated number of road accidents on each road link. In such a way, we take into account the population’s exposure to the risk associated with an incidental event involving a fuel tank. The obtained output is the set of planned routes with minimum service cost and minimum risk. Results demonstrate how an accurate planning of the service saves up to 3 hours and 30 km on a daily basis compared to a benchmark. Moreover, the distribution company can parameterize the configuration of the service, by varying the weight adopted in order to include the risk index. Including the risk index may bring to a higher safety route planning, with an increase of the operating costs of only 2%.
Valerio Cuneo; Marialisa Nigro; Stefano Carrese; Cosimo Federico Ardito; Francesco Corman. Risk based, multi objective vehicle routing problem for hazardous materials: a test case in downstream fuel logistics. Transportation Research Procedia 2018, 30, 43 -52.
AMA StyleValerio Cuneo, Marialisa Nigro, Stefano Carrese, Cosimo Federico Ardito, Francesco Corman. Risk based, multi objective vehicle routing problem for hazardous materials: a test case in downstream fuel logistics. Transportation Research Procedia. 2018; 30 ():43-52.
Chicago/Turabian StyleValerio Cuneo; Marialisa Nigro; Stefano Carrese; Cosimo Federico Ardito; Francesco Corman. 2018. "Risk based, multi objective vehicle routing problem for hazardous materials: a test case in downstream fuel logistics." Transportation Research Procedia 30, no. : 43-52.
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Stefano Carrese; Tommaso Giacchetti; Marialisa Nigro; Sergio Maria Patella. AN INNOVATIVE CAR SHARING ELECTRIC VEHICLE SYSTEM: AN ITALIAN EXPERIENCE. Urban Transport XXIII 2017, 1 .
AMA StyleStefano Carrese, Tommaso Giacchetti, Marialisa Nigro, Sergio Maria Patella. AN INNOVATIVE CAR SHARING ELECTRIC VEHICLE SYSTEM: AN ITALIAN EXPERIENCE. Urban Transport XXIII. 2017; ():1.
Chicago/Turabian StyleStefano Carrese; Tommaso Giacchetti; Marialisa Nigro; Sergio Maria Patella. 2017. "AN INNOVATIVE CAR SHARING ELECTRIC VEHICLE SYSTEM: AN ITALIAN EXPERIENCE." Urban Transport XXIII , no. : 1.
Stefano Carrese; Ernesto Cipriani; Livia Mannini; Marialisa Nigro. Dynamic demand estimation and prediction for traffic urban networks adopting new data sources. Transportation Research Part C: Emerging Technologies 2017, 81, 83 -98.
AMA StyleStefano Carrese, Ernesto Cipriani, Livia Mannini, Marialisa Nigro. Dynamic demand estimation and prediction for traffic urban networks adopting new data sources. Transportation Research Part C: Emerging Technologies. 2017; 81 ():83-98.
Chicago/Turabian StyleStefano Carrese; Ernesto Cipriani; Livia Mannini; Marialisa Nigro. 2017. "Dynamic demand estimation and prediction for traffic urban networks adopting new data sources." Transportation Research Part C: Emerging Technologies 81, no. : 83-98.
An analytical model for the evaluation of the naval transportation costs in Ro-Pax services is presented in order to compare the naval accessibility of two main Mediterranean islands with their mainland countries.
Stefano Carrese; Valerio Cuneo; Sergio Maria Patella; Carrese Stefano. A cost evaluation analysis for naval accessibility to Sardinia and Corsica. 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) 2015, 522 -529.
AMA StyleStefano Carrese, Valerio Cuneo, Sergio Maria Patella, Carrese Stefano. A cost evaluation analysis for naval accessibility to Sardinia and Corsica. 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2015; ():522-529.
Chicago/Turabian StyleStefano Carrese; Valerio Cuneo; Sergio Maria Patella; Carrese Stefano. 2015. "A cost evaluation analysis for naval accessibility to Sardinia and Corsica." 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) , no. : 522-529.
This paper explores the traffic state estimation on freeways in urban areas combining point-based and route-based data in order to properly feed a second order traffic flow model, recursively corrected by an Extended Kalman Filter. In order to overcome the possible lack of real-time information, authors propose to use simulation-based data in order to improve the accuracy of the traffic state estimation. This model was tested on a urban freeway stretch in Rome, for which a set of real-time data during the morning of a typical workday was available. Results of the application point out the benefits of the proposed approach in predicting the traffic state, as shown by GEH, RMSE and RME values similar to those presented in the literature.
L. Mannini; S. Carrese; E. Cipriani; U. Crisalli. On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME. Transportation Research Procedia 2015, 10, 176 -185.
AMA StyleL. Mannini, S. Carrese, E. Cipriani, U. Crisalli. On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME. Transportation Research Procedia. 2015; 10 ():176-185.
Chicago/Turabian StyleL. Mannini; S. Carrese; E. Cipriani; U. Crisalli. 2015. "On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME." Transportation Research Procedia 10, no. : 176-185.
Stefano Carrese; S. Gori; L. Mannini; Marialisa Nigro. The value of information for the accessibility to concurrent transit system services. Urban Transport XX 2014, 1, 101 -112.
AMA StyleStefano Carrese, S. Gori, L. Mannini, Marialisa Nigro. The value of information for the accessibility to concurrent transit system services. Urban Transport XX. 2014; 1 ():101-112.
Chicago/Turabian StyleStefano Carrese; S. Gori; L. Mannini; Marialisa Nigro. 2014. "The value of information for the accessibility to concurrent transit system services." Urban Transport XX 1, no. : 101-112.
Stefano Carrese; Sandro Mantovani; Marialisa Nigro. A security plan procedure for Heavy Goods Vehicles parking areas: An application to the Lazio Region (Italy). Transportation Research Part E: Logistics and Transportation Review 2014, 65, 35 -49.
AMA StyleStefano Carrese, Sandro Mantovani, Marialisa Nigro. A security plan procedure for Heavy Goods Vehicles parking areas: An application to the Lazio Region (Italy). Transportation Research Part E: Logistics and Transportation Review. 2014; 65 ():35-49.
Chicago/Turabian StyleStefano Carrese; Sandro Mantovani; Marialisa Nigro. 2014. "A security plan procedure for Heavy Goods Vehicles parking areas: An application to the Lazio Region (Italy)." Transportation Research Part E: Logistics and Transportation Review 65, no. : 35-49.
Significant increase in European road freight transport and the existing regulations on driving time require a suitable number of parking areas along the European road network. These infrastructures should ensure the right level of safety and security to drivers and trucks. However, the parking areas planning, building and managing process for Heavy Good Vehicles (HGVs) is unclear and many differences exist on a country by country basis. The result is that the number of existing and planned infrastructures is far to be capable to satisfy driver demand for a safe, secure and comfortable parking. This paper focus on the problem of lack of safe, secure and comfortable HGVs parking areas in Lazio Region, Italy. In particular a detailed survey conducted to Local and Private Agencies operating in the study area, to Italian haulage companies and to truck drivers is shown in order to underline the critical aspects and the complexity of the problem.
Stefano Carrese; Sandro Mantovani; Marialisa Nigro. Safe, secure and comfortable HGVs parking areas: an Italian experience. Procedia - Social and Behavioral Sciences 2011, 20, 732 -740.
AMA StyleStefano Carrese, Sandro Mantovani, Marialisa Nigro. Safe, secure and comfortable HGVs parking areas: an Italian experience. Procedia - Social and Behavioral Sciences. 2011; 20 ():732-740.
Chicago/Turabian StyleStefano Carrese; Sandro Mantovani; Marialisa Nigro. 2011. "Safe, secure and comfortable HGVs parking areas: an Italian experience." Procedia - Social and Behavioral Sciences 20, no. : 732-740.