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Prof. Mariano Gallo
Department of Engineering, University of Sannio, Benevento, Italy

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Research Keywords & Expertise

0 Optimisation
0 Pricing
0 Transportation Planning
0 Sustainable mobility
0 rail transportation

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Optimisation
Pricing
Sustainable mobility
Transportation network design
Mass transit systems

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Journal article
Published: 19 November 2020 in Energies
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We propose a model for optimising driving speed profiles on metro lines to reduce traction energy consumption. The model optimises the cruising speed to be maintained on each section between two stations; the functions that link the cruising speed to the travel time on the section and the corresponding energy consumption are built using microscopic railway simulation software. In addition to formulating an optimisation model and its resolution through a gradient algorithm, the problem is also solved by using a simulation model and the corresponding optimisation module, with which stochastic factors may be included in the problem. The results are promising and show that traction energy savings of over 25% compared to non-optimised operations may be achieved.

ACS Style

Mariano Gallo; Marilisa Botte; Antonio Ruggiero; Luca D’Acierno. A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines. Energies 2020, 13, 6038 .

AMA Style

Mariano Gallo, Marilisa Botte, Antonio Ruggiero, Luca D’Acierno. A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines. Energies. 2020; 13 (22):6038.

Chicago/Turabian Style

Mariano Gallo; Marilisa Botte; Antonio Ruggiero; Luca D’Acierno. 2020. "A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines." Energies 13, no. 22: 6038.

Review
Published: 11 September 2020 in Sustainability
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In this paper, a review of the main actions and policies that can be implemented to promote sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not exhaustive, analysis of the main studies and research that from different points of view have focused on sustainable mobility. The structure of the paper enables the reader to easily identify the topics covered and the studies related to them, so as to guide him/her to the related in-depth studies. In the first part of the paper, there is a preliminary analysis of the concept of sustainable mobility, the main transport policies implemented by the European Union and the USA, and the main statistical data useful to analyze the problem. Next, the main policies that can promote sustainable mobility are examined, classifying them into three topics: Environmental, socio-economic, and technological. Many of the policies and actions examined could be classified into more than one of the three categories used; for each of them, there is a description and the main literature work on which the topic can be analyzed in more detail. The paper concludes with a discussion on the results obtained and the prospects for research.

ACS Style

Mariano Gallo; Mario Marinelli. Sustainable Mobility: A Review of Possible Actions and Policies. Sustainability 2020, 12, 7499 .

AMA Style

Mariano Gallo, Mario Marinelli. Sustainable Mobility: A Review of Possible Actions and Policies. Sustainability. 2020; 12 (18):7499.

Chicago/Turabian Style

Mariano Gallo; Mario Marinelli. 2020. "Sustainable Mobility: A Review of Possible Actions and Policies." Sustainability 12, no. 18: 7499.

Journal article
Published: 17 August 2020 in Applied Sciences
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In this paper, we propose a generalisation of the Method of Successive Averages (MSA) for solving traffic assignment problems. The generalisation consists in proposing a different step sequence within the general MSA framework to reduce computing times. The proposed step sequence is based on the modification of the classic 1/k sequence for improving the convergence speed of the algorithm. The reduction in computing times is useful if the assignment problems are subroutines of algorithms for solving Network Design Problems—such algorithms require estimation of the equilibrium traffic flows at each iteration, hence, many thousands of times for real-scale cases. The proposed algorithm is tested with different parameter values and compared with the classic MSA algorithm on a small and on two real-scale networks. A test inside a Network Design Problem is also reported. Numerical results show that the proposed algorithm outperforms the classic MSA with reductions in computing times, reaching up to 79%. Finally, the theoretical properties are studied for stating the convergence of the proposed algorithm.

ACS Style

Marilisa Botte; Mariano Gallo; Mario Marinelli; Luca D’Acierno. A Methodology for Increasing Convergence Speed of Traffic Assignment Algorithms Based on the Use of a Generalised Averaging Function. Applied Sciences 2020, 10, 5698 .

AMA Style

Marilisa Botte, Mariano Gallo, Mario Marinelli, Luca D’Acierno. A Methodology for Increasing Convergence Speed of Traffic Assignment Algorithms Based on the Use of a Generalised Averaging Function. Applied Sciences. 2020; 10 (16):5698.

Chicago/Turabian Style

Marilisa Botte; Mariano Gallo; Mario Marinelli; Luca D’Acierno. 2020. "A Methodology for Increasing Convergence Speed of Traffic Assignment Algorithms Based on the Use of a Generalised Averaging Function." Applied Sciences 10, no. 16: 5698.

Journal article
Published: 05 August 2020 in Sustainability
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The sustainable design of public transport services is a crucial issue that may affect the economy of local areas and the social inclusion of their inhabitants. Indeed, transport accessibility of households, businesses, and retail activities is one of the main drivers that influence location choices and sustainable development and where the public transport services may play a key (positive) role. Furthermore, the economic crisis of the 2009 and the current ones caused by the COVID-19 pandemic has further limited the funds available for public services, including the transport sector. In this critical context, sound design of public transport services assumes great importance, especially in light of financial constraints. Starting from these considerations, the aim of this paper has been to propose an innovative methodology for designing public transport services based on a rational decision-making process with stakeholder engagement, aiming to perform a sustainable development perspective. The proposed methodology combines technical aspects, social and political issues, equity perspectives, and it is aimed in obtaining a design solution that can be accepted by the whole community. The proposed theoretical design methodology has also been applied to a case study in order to verify its applicability to a real context, consisting of the design of the public transport plan of the province of Foggia in southern Italy. Applications results show that the sustainable design scenario is not only the best ones from a technical point of view, but also participated, equitable, and approved by both policymakers and stakeholders.

ACS Style

Armando Cartenì; Luca D’Acierno; Mariano Gallo. A Rational Decision-Making Process with Public Engagement for Designing Public Transport Services: A Real Case Application in Italy. Sustainability 2020, 12, 6303 .

AMA Style

Armando Cartenì, Luca D’Acierno, Mariano Gallo. A Rational Decision-Making Process with Public Engagement for Designing Public Transport Services: A Real Case Application in Italy. Sustainability. 2020; 12 (16):6303.

Chicago/Turabian Style

Armando Cartenì; Luca D’Acierno; Mariano Gallo. 2020. "A Rational Decision-Making Process with Public Engagement for Designing Public Transport Services: A Real Case Application in Italy." Sustainability 12, no. 16: 6303.

Journal article
Published: 29 July 2020 in Infrastructures
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In this paper, a piecewise-defined function is proposed to estimate traffic noise in urban areas. The proposed approach allows the use of the model even in the case of very low or zero flows for which the classical logarithmic form is not suitable. A model based on the proposed approach is calibrated for a real case and compared with the results obtained with a model based only on the logarithmic form. The results obtained show how the proposed piecewise-defined function, linear for low traffic flows and logarithmic for medium-high volumes, is able to better represent real noise pollution levels in all conditions. The proposed approach is particularly useful when comparing two plan scenarios from the point of view of noise effects.

ACS Style

Mariano Gallo. A Piecewise-Defined Function for Modelling Traffic Noise on Urban Roads. Infrastructures 2020, 5, 63 .

AMA Style

Mariano Gallo. A Piecewise-Defined Function for Modelling Traffic Noise on Urban Roads. Infrastructures. 2020; 5 (8):63.

Chicago/Turabian Style

Mariano Gallo. 2020. "A Piecewise-Defined Function for Modelling Traffic Noise on Urban Roads." Infrastructures 5, no. 8: 63.

Journal article
Published: 21 May 2020 in Case Studies on Transport Policy
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This paper studies the impact of urban public transport systems on real estate values, focusing on equality issues. It is known that, in addition to direct benefits, the construction of metro lines also produces indirect benefits, including changes in the value of buildings located near stations; these impacts are usually neglected in transport planning. In this paper, we propose a methodology to assess equality from this point of view and examine the case study of the city of Naples, highlighting how the current configuration of the railway network produces inequalities concerning impacts on property values. The proposed methodology, based on the Gini index, is then applied to two possible scenarios, related to the extension and improvement of the network.

ACS Style

Mariano Gallo. Assessing the equality of external benefits in public transport investments: The impact of urban railways on real estate values. Case Studies on Transport Policy 2020, 8, 758 -769.

AMA Style

Mariano Gallo. Assessing the equality of external benefits in public transport investments: The impact of urban railways on real estate values. Case Studies on Transport Policy. 2020; 8 (3):758-769.

Chicago/Turabian Style

Mariano Gallo. 2020. "Assessing the equality of external benefits in public transport investments: The impact of urban railways on real estate values." Case Studies on Transport Policy 8, no. 3: 758-769.

Conference paper
Published: 31 March 2020 in Advances in Intelligent Systems and Computing
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This paper examines the influence of accessibility on the location of manufacturing companies in Italy. Using available statistical data, it has been possible to calibrate linear regression models that relate the number of manufacturing companies on the territory, grouped in four classes (micro, small, medium, large), to several socio-economic and territorial factors, including a gravity-based accessibility index. The calibrated models were statistically significant and a sensitivity analysis showed that accessibility mainly affects the location of medium and large companies, while it has a lower impact on micro and small companies.

ACS Style

Mariano Gallo; Mario Marinelli; Ivan Cavaiuolo. The Effects of Accessibility on the Location of Manufacturing Companies: The Italian Case Study. Advances in Intelligent Systems and Computing 2020, 1362 -1372.

AMA Style

Mariano Gallo, Mario Marinelli, Ivan Cavaiuolo. The Effects of Accessibility on the Location of Manufacturing Companies: The Italian Case Study. Advances in Intelligent Systems and Computing. 2020; ():1362-1372.

Chicago/Turabian Style

Mariano Gallo; Mario Marinelli; Ivan Cavaiuolo. 2020. "The Effects of Accessibility on the Location of Manufacturing Companies: The Italian Case Study." Advances in Intelligent Systems and Computing , no. : 1362-1372.

Journal article
Published: 16 March 2020 in Sustainability
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This paper studies the effectiveness of urban cycle lanes, with cycling being one of the most common practices for promoting sustainable mobility in urban areas. Despite a growing interest, the use of cycling in Italian cities has not gained a large consensus yet. Nevertheless, the presence and the extension of cycle lanes are considered as quantitative indicators for measuring the livability of cities. Actually, the lack in assessing the global quality of cycle networks asks for a major attention in the definition of these indicators. Starting from these considerations, the present study tries to propose a different approach to assess the real effectiveness of an urban cycle network. By defining some typological clusters of anomalies (dyscrasias) that can impede a safe and comfortable use of bicycles, the study achieves the definition of a method to evaluate the real effectiveness of an urban cycle lane. The case study of Naples represents a first trial both to check the method and to assess the state of the existing urban lane in order to verify its effectiveness.

ACS Style

Romano Fistola; Mariano Gallo; Rosa Anna La Rocca; Francesca Russo. The Effectiveness of Urban Cycle Lanes: From Dyscrasias to Potential Solutions. Sustainability 2020, 12, 2321 .

AMA Style

Romano Fistola, Mariano Gallo, Rosa Anna La Rocca, Francesca Russo. The Effectiveness of Urban Cycle Lanes: From Dyscrasias to Potential Solutions. Sustainability. 2020; 12 (6):2321.

Chicago/Turabian Style

Romano Fistola; Mariano Gallo; Rosa Anna La Rocca; Francesca Russo. 2020. "The Effectiveness of Urban Cycle Lanes: From Dyscrasias to Potential Solutions." Sustainability 12, no. 6: 2321.

Journal article
Published: 05 August 2019 in Sensors
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Forecasting user flows on transportation networks is a fundamental task for Intelligent Transport Systems (ITSs). Indeed, most control and management strategies on transportation systems are based on the knowledge of user flows. For implementing ITS strategies, the forecast of user flows on some network links obtained as a function of user flows on other links (for instance, where data are available in real time with sensors) may provide a significant contribution. In this paper, we propose the use of Artificial Neural Networks (ANNs) for forecasting metro onboard passenger flows as a function of passenger counts at station turnstiles. We assume that metro station turnstiles record the number of passengers entering by means of an automatic counting system and that these data are available every few minutes (temporal aggregation); the objective is to estimate onboard passengers on each track section of the line (i.e., between two successive stations) as a function of turnstile data collected in the previous periods. The choice of the period length may depend on service schedules. Artificial Neural Networks are trained by using simulation data obtained with a dynamic loading procedure of the rail line. The proposed approach is tested on a real-scale case: Line 1 of the Naples metro system (Italy). Numerical results show that the proposed approach is able to forecast the flows on metro sections with satisfactory precision.

ACS Style

Mariano Gallo; Giuseppina De Luca; Luca D’Acierno; Marilisa Botte. Artificial Neural Networks for Forecasting Passenger Flows on Metro Lines. Sensors 2019, 19, 3424 .

AMA Style

Mariano Gallo, Giuseppina De Luca, Luca D’Acierno, Marilisa Botte. Artificial Neural Networks for Forecasting Passenger Flows on Metro Lines. Sensors. 2019; 19 (15):3424.

Chicago/Turabian Style

Mariano Gallo; Giuseppina De Luca; Luca D’Acierno; Marilisa Botte. 2019. "Artificial Neural Networks for Forecasting Passenger Flows on Metro Lines." Sensors 19, no. 15: 3424.

Journal article
Published: 18 July 2019 in Sustainability
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This paper proposes a discrete optimisation model and a heuristic algorithm to solve the landfill siting problem over large areas. Besides waste transport costs and plant construction and maintenance costs, usually considered in such problems, the objective function includes economic compensation for residents in the areas affected by the landfill, to combat the NIMBY (Not In My Back Yard) syndrome or, at least, reduce its adverse effects. The proposed methodology is applied to a real-scale case study, the region of Campania, Italy, where waste management is a thorny problem. Numerical results show that the proposed algorithm may be used to obtain a solution to the problem, albeit sub-optimal, with acceptable computing times, and the proposed model tends to locate landfills in sparsely populated sites.

ACS Style

Mariano Gallo. An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem. Sustainability 2019, 11, 3904 .

AMA Style

Mariano Gallo. An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem. Sustainability. 2019; 11 (14):3904.

Chicago/Turabian Style

Mariano Gallo. 2019. "An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem." Sustainability 11, no. 14: 3904.

Conference paper
Published: 29 June 2019 in Transactions on Petri Nets and Other Models of Concurrency XV
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The recent world policies have shown the necessity of implementing suitable strategies, especially in urban contexts, in order to promote more sustainable transportation systems. In this context, the rail-based systems allow to achieve sustainable goals according to a threefold effect: reduction in externalities (such as congestion, accidents, air and noise pollution), increase in efficiency (in terms of operational cost per real/potential carried passenger), and delocalization of energy production centres (large industrial plants out of population centres producing with optimal yields). Positive environmental aspects of the rail and metro systems may be further amplified by implementing Energy-Saving Strategies (ESSs) based on the adoption of suitable driving profiles and/or the installation of onboard/wayside recovery devices. In this context, we investigate the effects of rolling-stock unavailability (for breakdowns, maintenance or under-sized fleet) on the effectiveness of ESSs within a multi-objective framework which combines the reduction in energy consumption with a passenger-oriented perspective. A real metro line in the south of Italy has been analysed as case-study in order to show the feasibility of the proposed approach.

ACS Style

Marilisa Botte; Luca D’Acierno; Mariano Gallo. Effects of Rolling Stock Unavailability on the Implementation of Energy-Saving Policies: A Metro System Application. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 120 -132.

AMA Style

Marilisa Botte, Luca D’Acierno, Mariano Gallo. Effects of Rolling Stock Unavailability on the Implementation of Energy-Saving Policies: A Metro System Application. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():120-132.

Chicago/Turabian Style

Marilisa Botte; Luca D’Acierno; Mariano Gallo. 2019. "Effects of Rolling Stock Unavailability on the Implementation of Energy-Saving Policies: A Metro System Application." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 120-132.

Chapter
Published: 30 December 2018 in AIRO Springer Series
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In this paper we propose to optimise parking pricing fares in urban areas with the aim to improve transportation equity; the optimisation approach is applied to an origin-destination parking pricing policy that can differentiate the tariffs for each origin-destination pair, considering the difference in accessibility, in particular with public transport services. An optimisation model is implemented, and a solution algorithm is proposed. Model and algorithm are tested on the case study of Naples (Italy), where the quality of transit services is very different between zones and OD pairs; therefore, differentiating parking fares as a function of origin and destination of the trip may be very useful for rebalancing accessibilities among zones, aiming to improve transportation equity.

ACS Style

Mariano Gallo; Luca D’Acierno. An Origin-Destination Based Parking Pricing Policy for Improving Equity in Urban Transportation. AIRO Springer Series 2018, 247 -255.

AMA Style

Mariano Gallo, Luca D’Acierno. An Origin-Destination Based Parking Pricing Policy for Improving Equity in Urban Transportation. AIRO Springer Series. 2018; ():247-255.

Chicago/Turabian Style

Mariano Gallo; Luca D’Acierno. 2018. "An Origin-Destination Based Parking Pricing Policy for Improving Equity in Urban Transportation." AIRO Springer Series , no. : 247-255.

Journal article
Published: 01 December 2018 in Socio-Economic Planning Sciences
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ACS Style

Mariano Gallo. Improving equity of urban transit systems with the adoption of origin-destination based taxi fares. Socio-Economic Planning Sciences 2018, 64, 38 -55.

AMA Style

Mariano Gallo. Improving equity of urban transit systems with the adoption of origin-destination based taxi fares. Socio-Economic Planning Sciences. 2018; 64 ():38-55.

Chicago/Turabian Style

Mariano Gallo. 2018. "Improving equity of urban transit systems with the adoption of origin-destination based taxi fares." Socio-Economic Planning Sciences 64, no. : 38-55.

Journal article
Published: 12 August 2018 in Sensors
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This paper proposes a method for estimating traffic flows on some links of a road network knowing the data on other links that are monitored with sensors. In this way, it is possible to obtain more information on traffic conditions without increasing the number of monitored links. The proposed method is based on artificial neural networks (ANNs), wherein the input data are the traffic flows on some monitored road links and the output data are the traffic flows on some unmonitored links. We have implemented and tested several single-layer feed-forward ANNs that differ in the number of neurons and the method of generating datasets for training. The proposed ANNs were trained with a supervised learning approach where input and output example datasets were generated through traffic simulation techniques. The proposed method was tested on a real-scale network and gave very good results if the travel demand patterns were known and used for generating example datasets, and promising results if the demand patterns were not considered in the procedure. Numerical results have underlined that the ANNs with few neurons were more effective than the ones with many neurons in this specific problem.

ACS Style

Mariano Gallo; Giuseppina De Luca. Spatial Extension of Road Traffic Sensor Data with Artificial Neural Networks. Sensors 2018, 18, 2640 .

AMA Style

Mariano Gallo, Giuseppina De Luca. Spatial Extension of Road Traffic Sensor Data with Artificial Neural Networks. Sensors. 2018; 18 (8):2640.

Chicago/Turabian Style

Mariano Gallo; Giuseppina De Luca. 2018. "Spatial Extension of Road Traffic Sensor Data with Artificial Neural Networks." Sensors 18, no. 8: 2640.

Research article
Published: 16 April 2018 in Journal of Advanced Transportation
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The aim of this paper is to provide an analytical approach for determining operational parameters for metro systems so as to support the planning and implementation of energy-saving strategies. Indeed, one of the main targets of train operating companies is to identify and implement suitable strategies for reducing energy consumption. For this purpose, researchers and practitioners have developed energy-efficient driving profiles with the aim of optimising train motion. However, as such profiles generally entail an increase in travel times, the operating parameters in the planned timetable need to be appropriately recalibrated. Against this background, this paper develops a suitable methodology for estimating reserve times which represent the main rate of extra time needed to put ecodriving strategies in place. Our proposal is to exploit layover times (i.e., times spent by a train at the terminus waiting for the next trip) for energy-saving purposes, keeping buffer times intact in order to preserve the flexibility and robustness of the timetable in case of delays. In order to show its feasibility, the approach was applied in the case of a real metro context, whose service frequency was duly taken into account. In particular, after stochastic analysis of the parameters involved for calibrating suitable buffer times, different operating schemes were simulated by analysing the relationship between layover times, number of convoys, and feasible headway values. Finally, some operation configurations are analysed in order to quantify the amount of energy that can be saved.

ACS Style

Luca D’Acierno; Marilisa Botte; Mariano Gallo; Bruno Montella. Defining Reserve Times for Metro Systems: An Analytical Approach. Journal of Advanced Transportation 2018, 2018, 1 -15.

AMA Style

Luca D’Acierno, Marilisa Botte, Mariano Gallo, Bruno Montella. Defining Reserve Times for Metro Systems: An Analytical Approach. Journal of Advanced Transportation. 2018; 2018 ():1-15.

Chicago/Turabian Style

Luca D’Acierno; Marilisa Botte; Mariano Gallo; Bruno Montella. 2018. "Defining Reserve Times for Metro Systems: An Analytical Approach." Journal of Advanced Transportation 2018, no. : 1-15.

Research article
Published: 05 April 2018 in Journal of Advanced Transportation
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A hedonic model for estimating the effects of transit systems on real estate values is specified and calibrated for the city of Naples. The model is used to estimate the external benefits concerning property values which may be attributed to the Naples metro at the present time and in two future scenarios. The results show that only high-frequency metro lines have appreciable effects on real estate values, while low-frequency metro lines and bus lines produce no significant impacts. Our results show that the impacts on real estate values of the metro system in Naples are significant, with corresponding external benefits estimated at about 7.2 billion euros or about 8.5% of the total value of real estate assets.

ACS Style

Mariano Gallo. The Impact of Urban Transit Systems on Property Values: A Model and Some Evidences from the City of Naples. Journal of Advanced Transportation 2018, 2018, 1 -22.

AMA Style

Mariano Gallo. The Impact of Urban Transit Systems on Property Values: A Model and Some Evidences from the City of Naples. Journal of Advanced Transportation. 2018; 2018 ():1-22.

Chicago/Turabian Style

Mariano Gallo. 2018. "The Impact of Urban Transit Systems on Property Values: A Model and Some Evidences from the City of Naples." Journal of Advanced Transportation 2018, no. : 1-22.

Conference paper
Published: 05 November 2017 in Springer Texts in Business and Economics
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In this paper we study the problem of siting landfills over large geographical areas. An optimisation problem is formulated and solved with a heuristic algorithm. The formulation of the problem explicitly considers economic compensation for the population of areas affected by the landfill. The approach is used to solve the problem in the real-scale case of the southern Italian region of Campania, with 551 possible sites. The proposed methodology is able to solve the problem with acceptable computing times.

ACS Style

Mariano Gallo. A Model and Algorithm for Solving the Landfill Siting Problem in Large Areas. Springer Texts in Business and Economics 2017, 267 -274.

AMA Style

Mariano Gallo. A Model and Algorithm for Solving the Landfill Siting Problem in Large Areas. Springer Texts in Business and Economics. 2017; ():267-274.

Chicago/Turabian Style

Mariano Gallo. 2017. "A Model and Algorithm for Solving the Landfill Siting Problem in Large Areas." Springer Texts in Business and Economics , no. : 267-274.

Conference paper
Published: 01 June 2017 in 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
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This paper proposes a literature review on Artificial Neural Networks (ANNs) for forecasting user flows on road and transit networks. Besides the literature review, a discussion about the potentialities and the limits of this non-parametric approach are discussed. The paper identifies some research field that are still open and deserve further studies.

ACS Style

Giuseppina De Luca; Mariano Gallo. Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) 2017, 919 -923.

AMA Style

Giuseppina De Luca, Mariano Gallo. Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2017; ():919-923.

Chicago/Turabian Style

Giuseppina De Luca; Mariano Gallo. 2017. "Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges." 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) , no. : 919-923.

Conference paper
Published: 01 June 2017 in 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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This paper studies the potential effects of real-time parking (RTP) services on cruising for parking and greenhouse gas (GHG) emissions in urban areas. A general purpose simulation software is used for simulating RTP and for evaluating its impact on veh-kms travelled and GHGs emitted. Numerical results on a test network show that RTP is able to achieve considerable reductions in cruising for parking, measured in veh-kms, and in emissions.

ACS Style

Mariano Gallo; Filippo Montone. The potential effects of real-time parking (RTP) systems on cruising for parking and greenhouse gas emissions. 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2017, 1 -6.

AMA Style

Mariano Gallo, Filippo Montone. The potential effects of real-time parking (RTP) systems on cruising for parking and greenhouse gas emissions. 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2017; ():1-6.

Chicago/Turabian Style

Mariano Gallo; Filippo Montone. 2017. "The potential effects of real-time parking (RTP) systems on cruising for parking and greenhouse gas emissions." 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.

Conference paper
Published: 01 September 2016 in 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
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This paper presents a model for estimating road traffic noise in urban areas; the model was calibrated in the city of Benevento and can be considered valid for medium-size urban areas. The model was applied to evaluate the general level of traffic noise in the city, proposing a procedure based on the distance of buildings from the roadside required for compliance with legally established noise limits. The procedure was tested on the Benevento network.

ACS Style

Mariano Gallo; Orazio Mascolino; Giuseppe Mazza. A model for estimating road traffic noise in urban areas. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) 2016, 1 -5.

AMA Style

Mariano Gallo, Orazio Mascolino, Giuseppe Mazza. A model for estimating road traffic noise in urban areas. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). 2016; ():1-5.

Chicago/Turabian Style

Mariano Gallo; Orazio Mascolino; Giuseppe Mazza. 2016. "A model for estimating road traffic noise in urban areas." 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) , no. : 1-5.