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Smart and sustainable mobility systems are crucial elements for tomorrow’s cities, whose facilities will be increasingly connected automated and environmentally friendly. Therefore, many strategies based on alternatively-powered vehicles, shared transport modes and micro-mobility solutions are being developed. However, the promotion of traditional public transport solutions still remains a key factor. Therefore, increasing their attractiveness, thus positively influencing the modal split, turns out to be an important goal to be achieved. In this context, we proposed a methodology, based on the use of Automatic Vehicle Location (AVL) data, for improving transit service performance. Finally, in order to show the feasibility of the proposed approach, it has been applied to a real bus line operating in the south of Italy.
Benedetta Argenzio; Nicola Amatucci; Marilisa Botte; Luca D’Acierno; Luca Di Costanzo; Luigi Pariota. The Use of Automatic Vehicle Location (AVL) Data for Improving Public Transport Service Regularity. Inventive Computation and Information Technologies 2021, 667 -676.
AMA StyleBenedetta Argenzio, Nicola Amatucci, Marilisa Botte, Luca D’Acierno, Luca Di Costanzo, Luigi Pariota. The Use of Automatic Vehicle Location (AVL) Data for Improving Public Transport Service Regularity. Inventive Computation and Information Technologies. 2021; ():667-676.
Chicago/Turabian StyleBenedetta Argenzio; Nicola Amatucci; Marilisa Botte; Luca D’Acierno; Luca Di Costanzo; Luigi Pariota. 2021. "The Use of Automatic Vehicle Location (AVL) Data for Improving Public Transport Service Regularity." Inventive Computation and Information Technologies , no. : 667-676.
Public transport systems can be characterised by a schedule-based or a frequency-based framework according to the kind of service to be operated. In the former case, specific departure and arrival times are set for each run and disclosed to the users; in the latter, instead, it is necessary to maintain a certain headway between two successive runs, rather than a specific timetable structure. This paper focuses on modelling frequency-based systems, which can be described by means of the so-called Merry-Go-Round (MGR) paradigm. The paradigm is first discussed and the related analytical formulation is presented; the role of the terminal station layout is then investigated within this framework. Finally, in order to show the effectiveness of the proposed formulation, it was implemented in the case of a real-scale metro line.
Luca D’Acierno; Marilisa Botte. Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm. Sustainability 2021, 13, 2033 .
AMA StyleLuca D’Acierno, Marilisa Botte. Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm. Sustainability. 2021; 13 (4):2033.
Chicago/Turabian StyleLuca D’Acierno; Marilisa Botte. 2021. "Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm." Sustainability 13, no. 4: 2033.
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.
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 StyleMariano 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 StyleMariano 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.
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.
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 StyleMarilisa 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 StyleMarilisa 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.
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.
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 StyleArmando 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 StyleArmando 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.
Electrified railway systems are the current focus of energy efficiency studies due to the increasing constraints of environmental sustainability policies. Railway System Operators (RSOs), also encouraged by market deregulation, are thus examining how to update infrastructures and vehicles and/or apply new operating strategies. Given the intrinsic relation between railway systems and their primary feeding grid, each measure applied to a railway system impacts directly on the power grid which supplies the system. Against this background, this paper aims to ascertain the impact of an energy efficiency strategy applied by the RSO system on its primary grid. The energy-efficient strategy is identified as to preserve timetable stability and service quality in a passenger-oriented perspective. Moreover, a method to model the interaction between the systems in terms of power flow exchanges is proposed. The model is used to verify how an eco-driving technique applied to a metro system affects the state variables of the distribution grid. In particular, the primary grid, the traction power substations and the railway system are modelled according to real data. The case study is the Metro Line 1 operating in the city of Naples (Italy). The numerical simulations are carried out with a two-step procedure: first, the power requirements of the rolling stock as a function of the imposed operating service are calculated by OPENTRACK® software; the state variables of the distribution grid are then evaluated by means of the power flow approach.
Marilisa Botte; Luca D'acierno; Mario Pagano. Impact of Railway Energy Efficiency on the Primary Distribution Power Grid. IEEE Transactions on Vehicular Technology 2020, 69, 14131 -14140.
AMA StyleMarilisa Botte, Luca D'acierno, Mario Pagano. Impact of Railway Energy Efficiency on the Primary Distribution Power Grid. IEEE Transactions on Vehicular Technology. 2020; 69 (12):14131-14140.
Chicago/Turabian StyleMarilisa Botte; Luca D'acierno; Mario Pagano. 2020. "Impact of Railway Energy Efficiency on the Primary Distribution Power Grid." IEEE Transactions on Vehicular Technology 69, no. 12: 14131-14140.
Energy-saving and energy-recovery strategies represent key factors to achieve operational cost reductions within rail systems’ management tasks. However, in altering service features, they also affect passenger satisfaction. This paper investigates the effect of implementing such measures in the case of rolling stock unavailability. Numerous operational scenarios were explored by analysing different planned headway and rolling stock configurations. The scenarios were simulated with and without the adoption of Energy-Saving Strategies (ESS), both in ordinary and in disruption conditions. Our results show that, in ordinary conditions, the optimal scenarios are those that minimise the planned headway. By contrast, in disrupted conditions, due to greater passenger inconvenience, the use of a time-optimal condition is preferable if a real-time adjustment of ESS is not feasible. However, if the ESS can be updated in real-time, use of ESS is preferable only if the adopted headway is the smallest of those associated with the rolling stock scheme considered.
Luca D’Acierno; Marilisa Botte. Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective. Energies 2020, 13, 2403 .
AMA StyleLuca D’Acierno, Marilisa Botte. Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective. Energies. 2020; 13 (10):2403.
Chicago/Turabian StyleLuca D’Acierno; Marilisa Botte. 2020. "Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective." Energies 13, no. 10: 2403.
The free movement of people and goods in the European Union has led to the introduction of a cost to the infrastructure access in the rail sector. However, the current access policies do not encourage the adoption of environmentally sustainable behaviours of the transport service providers. In this context, our proposal provides a methodology for estimating suitable incentives (in terms of access cost reductions) in order to encourage companies to adopt proper driving speed profiles aimed to implement energy-saving strategies. Initial results have shown that the adoption of sustainable driving behaviours may provide a reduction in access costs up to 48%.
Marilisa Botte; Ilaria Tufano; Luca D'Acierno. Infrastructure Access Policies to Promote Sustainable Driving Behaviours in Railway Contexts. Advances in Intelligent Systems and Computing 2020, 1352 -1361.
AMA StyleMarilisa Botte, Ilaria Tufano, Luca D'Acierno. Infrastructure Access Policies to Promote Sustainable Driving Behaviours in Railway Contexts. Advances in Intelligent Systems and Computing. 2020; ():1352-1361.
Chicago/Turabian StyleMarilisa Botte; Ilaria Tufano; Luca D'Acierno. 2020. "Infrastructure Access Policies to Promote Sustainable Driving Behaviours in Railway Contexts." Advances in Intelligent Systems and Computing , no. : 1352-1361.
The driving speed profile definition of a rail convoy, which may be adopted as a tool in planning and operational tasks, requires the continuous verification of safety conditions. The traditional approach, based on the evaluation of the braking distance at each iteration of acceleration or cruising phases, is generally time-consuming. In this context, our proposal consists of providing a geometrical approach for obtaining the same results as the traditional approach but in lower computational times. Preliminary applications to some trial networks have shown that, although in some cases (i.e. when the speed driving profile degenerates into a triangular motion diagram) the proposed approach requires a high number of iterations, the absence of braking distance evaluations implies reductions in terms of iterations, as well as in terms of calculation times, up to 98%.
Marilisa Botte; Bruno Montella; Luca D'Acierno. A Geometrical Approach to Reduce Calculation Times in the Definition of Rail Convoy Speed Profiles. WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 2020, 16, 98 -104.
AMA StyleMarilisa Botte, Bruno Montella, Luca D'Acierno. A Geometrical Approach to Reduce Calculation Times in the Definition of Rail Convoy Speed Profiles. WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT. 2020; 16 ():98-104.
Chicago/Turabian StyleMarilisa Botte; Bruno Montella; Luca D'Acierno. 2020. "A Geometrical Approach to Reduce Calculation Times in the Definition of Rail Convoy Speed Profiles." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 16, no. : 98-104.
L. Alfieri; M. Botte; Luca D'Acierno; M. Pagano. Effects of Urban Metro Energy-Saving Strategy on the Distribution Electrical Power System. 2019 IEEE Vehicle Power and Propulsion Conference (VPPC) 2019, 1 .
AMA StyleL. Alfieri, M. Botte, Luca D'Acierno, M. Pagano. Effects of Urban Metro Energy-Saving Strategy on the Distribution Electrical Power System. 2019 IEEE Vehicle Power and Propulsion Conference (VPPC). 2019; ():1.
Chicago/Turabian StyleL. Alfieri; M. Botte; Luca D'Acierno; M. Pagano. 2019. "Effects of Urban Metro Energy-Saving Strategy on the Distribution Electrical Power System." 2019 IEEE Vehicle Power and Propulsion Conference (VPPC) , no. : 1.
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.
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 StyleMariano 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 StyleMariano 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.
Luca D'Acierno; Marilisa Botte; Giuseppe Pignatiello. A simulation-based approach for estimating railway capacity. International Journal of Transport Development and Integration 2019, 3, 1 .
AMA StyleLuca D'Acierno, Marilisa Botte, Giuseppe Pignatiello. A simulation-based approach for estimating railway capacity. International Journal of Transport Development and Integration. 2019; 3 (3):1.
Chicago/Turabian StyleLuca D'Acierno; Marilisa Botte; Giuseppe Pignatiello. 2019. "A simulation-based approach for estimating railway capacity." International Journal of Transport Development and Integration 3, no. 3: 1.
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.
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 StyleMarilisa 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 StyleMarilisa 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.
Energy-saving and energy-recovery strategies represent a key factor for reducing operational costs within rail systems management tasks; however, by altering service features, they also affect passenger satisfaction. In particular, the paper aims at investigating the effect of the implementation of such measures in the case of limitation in rolling stock availability. More in detail, we analysed the condition in which the planned headway is kept as constant by operating shorter convoys. Clearly, by reducing the length of convoys, a lower amount of power supply is required but, on the other hand, a lower carrying capacity is offered with an increased in passengers' discomfort. Within this framework, a constrained optimisation problem is formulated and solved in the case of a real regional rail line, thus showing the feasibility of the proposed method.
Luca D'Acierno; Marilisa Botte. The Implementation of Energy-Saving Strategies in the Case of Limitation in Rolling Stock Availability. 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2019, 1 -6.
AMA StyleLuca D'Acierno, Marilisa Botte. The Implementation of Energy-Saving Strategies in the Case of Limitation in Rolling Stock Availability. 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2019; ():1-6.
Chicago/Turabian StyleLuca D'Acierno; Marilisa Botte. 2019. "The Implementation of Energy-Saving Strategies in the Case of Limitation in Rolling Stock Availability." 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.
Cooperative-Intelligent Transportation Systems (C-ITSs) aim to connect vehicles, both with one another and with road infrastructures, so as to increase traffic safety and efficiency. This paper focuses on the European framework for supporting the development of Cooperative, Connected, and Automated Mobility, and aims to shed light on the current state of testing and deployment activities in the field at the start of 2019. This may be considered particularly timely given that the year 2019 was identified as the starting date for the deployment of mature services, and the Community legislation is currently paying great attention to the matter. In order to present a concise (but comprehensive) picture, we consulted and analysed the most diverse sources comprising more than 2000 pages.
Marilisa Botte; Luigi Pariota; Luca D’Acierno; Gennaro Nicola Bifulco. An Overview of Cooperative Driving in the European Union: Policies and Practices. Electronics 2019, 8, 616 .
AMA StyleMarilisa Botte, Luigi Pariota, Luca D’Acierno, Gennaro Nicola Bifulco. An Overview of Cooperative Driving in the European Union: Policies and Practices. Electronics. 2019; 8 (6):616.
Chicago/Turabian StyleMarilisa Botte; Luigi Pariota; Luca D’Acierno; Gennaro Nicola Bifulco. 2019. "An Overview of Cooperative Driving in the European Union: Policies and Practices." Electronics 8, no. 6: 616.
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.
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 StyleMariano 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 StyleMariano Gallo; Luca D’Acierno. 2018. "An Origin-Destination Based Parking Pricing Policy for Improving Equity in Urban Transportation." AIRO Springer Series , no. : 247-255.
The paper aims to provide an overview of the key factors to consider when performing reliable modelling of rail services. Given our underlying belief that to build a robust simulation environment a rail service cannot be considered an isolated system, also the connected systems, which influence and, in turn, are influenced by such services, must be properly modelled. For this purpose, an extensive overview of the rail simulation and optimisation models proposed in the literature is first provided. Rail simulation models are classified according to the level of detail implemented (microscopic, mesoscopic and macroscopic), the variables involved (deterministic and stochastic) and the processing techniques adopted (synchronous and asynchronous). By contrast, within rail optimisation models, both planning (timetabling) and management (rescheduling) phases are discussed. The main issues concerning the interaction of rail services with travel demand flows and the energy domain are also described. Finally, in an attempt to provide a comprehensive framework an overview of the main metaheuristic resolution techniques used in the planning and management phases is shown.
Marilisa Botte; Luca D’Acierno. Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms. Urban Rail Transit 2018, 4, 163 -197.
AMA StyleMarilisa Botte, Luca D’Acierno. Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms. Urban Rail Transit. 2018; 4 (4):163-197.
Chicago/Turabian StyleMarilisa Botte; Luca D’Acierno. 2018. "Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms." Urban Rail Transit 4, no. 4: 163-197.
Rail and metro systems are characterized by high-performing and environmentally friendly features that make them a crucial factor for driving modal split towards public transport modes, thus reducing private car use and related externalities (such as air and noise pollution, traffic congestion and accidents). Within this framework, the implementation of suitable energy-saving policies, allowing to reduce energy consumption, but, at the same time, preserving timetable stability and passengers’ satisfaction, may turn out to be imperative. In particular, this study aims to develop an analytical framework for properly supporting the implementation of eco-driving strategies in a passenger-oriented perspective. An application to a rail line in southern Italy is performed so as to demonstrate the usefulness of the proposed approach in determining the optimal compromise between energy reductions and travel time increases.
Luca D’Acierno; Marilisa Botte. A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts. Energies 2018, 11, 2946 .
AMA StyleLuca D’Acierno, Marilisa Botte. A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts. Energies. 2018; 11 (11):2946.
Chicago/Turabian StyleLuca D’Acierno; Marilisa Botte. 2018. "A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts." Energies 11, no. 11: 2946.
Rail and metro systems are characterised by high-performing and environmentally-friendly features which make them a crucial factor for driving modal split towards public transport modes, thus reducing private car use and related externalities (such as air and noise pollution, traffic congestion and accidents). Within this framework, the implementation of suitable energy-saving policies, allowing to reduce energy consumption, but, at the same time, preserving timetable stability and passengers' satisfaction, may turn out to be imperative. In particular, our proposal consists in developing an analytical framework for properly supporting the implementation of eco-driving strategies in a passenger-oriented perspective. An application to a rail line in southern Italy is performed so as to demonstrate the usefulness of the proposed approach.
Luca D'Acierno; Marilisa Botte. Passengers' Satisfaction in the Case of Energy-Saving Strategies: A Rail System Application. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018, 1 -5.
AMA StyleLuca D'Acierno, Marilisa Botte. Passengers' Satisfaction in the Case of Energy-Saving Strategies: A Rail System Application. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2018; ():1-5.
Chicago/Turabian StyleLuca D'Acierno; Marilisa Botte. 2018. "Passengers' Satisfaction in the Case of Energy-Saving Strategies: A Rail System Application." 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-5.
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.
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 StyleLuca 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 StyleLuca 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.