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Dr. Marilisa Botte
Department of Civil, Architectural and Environmental Engineering, Federico II University of Naples, 80125 Naples, Italy

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Research Keywords & Expertise

0 Cooperative Driving
0 Transport system analysis and management
0 Smart and sustainable mobility
0 Rail and metro systems
0 Energy-saving applications

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Rail and metro systems
Cooperative Driving
Travel demand estimation

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Journal article
Published: 13 February 2021 in Sustainability
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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.

ACS Style

Luca D’Acierno; Marilisa Botte. Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm. Sustainability 2021, 13, 2033 .

AMA Style

Luca D’Acierno, Marilisa Botte. Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm. Sustainability. 2021; 13 (4):2033.

Chicago/Turabian Style

Luca D’Acierno; Marilisa Botte. 2021. "Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm." Sustainability 13, no. 4: 2033.

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.

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: 28 May 2020 in IEEE Transactions on Vehicular Technology
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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.

ACS Style

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 Style

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 (12):14131-14140.

Chicago/Turabian Style

Marilisa 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.

Journal article
Published: 12 May 2020 in Energies
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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.

ACS Style

Luca D’Acierno; Marilisa Botte. Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective. Energies 2020, 13, 2403 .

AMA Style

Luca 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 Style

Luca D’Acierno; Marilisa Botte. 2020. "Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective." Energies 13, no. 10: 2403.

Conference paper
Published: 31 March 2020 in Advances in Intelligent Systems and Computing
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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%.

ACS Style

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 Style

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.

Chicago/Turabian Style

Marilisa 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.

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: 25 July 2019 in International Journal of Transport Development and Integration
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ACS Style

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 Style

Luca 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 Style

Luca 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.

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.

Conference paper
Published: 01 June 2019 in 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Luca 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.

Review
Published: 31 May 2019 in Electronics
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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.

ACS Style

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 Style

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 (6):616.

Chicago/Turabian Style

Marilisa 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.

Review articles
Published: 26 November 2018 in Urban Rail Transit
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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.

ACS Style

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 Style

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 (4):163-197.

Chicago/Turabian Style

Marilisa 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.

Journal article
Published: 29 October 2018 in Energies
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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.

ACS Style

Luca D’Acierno; Marilisa Botte. A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts. Energies 2018, 11, 2946 .

AMA Style

Luca D’Acierno, Marilisa Botte. A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts. Energies. 2018; 11 (11):2946.

Chicago/Turabian Style

Luca D’Acierno; Marilisa Botte. 2018. "A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts." Energies 11, no. 11: 2946.

Conference paper
Published: 01 June 2018 in 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Luca 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.

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.

Conference paper
Published: 10 August 2017 in Proccedings of 10th International Conference "Environmental Engineering"
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Regional rail transport, albeit a major element in public mobility, is frequently affected by great vulnerability to system failure. Hence it is worth developing suitable procedures to manage rail disruption appropriately. In the particular case of breakdowns, the latter may be managed by means of shunter locomotives or empty rail convoys if the faulty convoy is able to travel in non-autonomous conditions. Obviously, the use of rescue vehicles on the line generates a disturbance with related reductions in service quality. Against this backdrop, this paper has two main aims. First, we investigate the possibility of adopting some unconventional rescue strategies based on the use of operating rail convoys or maintenance vehicles, and propose a methodology, based on a micro-simulation approach, for accurately modelling interactions among all rail system components so as to optimise management in emergency contexts. The second aim is to identify suitable intervention strategies which provide the right balance between the swiftness of rescue operations and the disturbance inflicted upon rail services during failure management. Finally, the method is applied to the ‘Naples-Sorrento’ regional rail line in southern Italy in order to show the utility and feasibility of the suggested approach.

ACS Style

Marilisa Botte; Domenico Puca; Bruno Montella; Luca D'acierno. An Innovative Methodology for Managing Service Disruptions on Regional Rail Lines. Proccedings of 10th International Conference "Environmental Engineering" 2017, 1 .

AMA Style

Marilisa Botte, Domenico Puca, Bruno Montella, Luca D'acierno. An Innovative Methodology for Managing Service Disruptions on Regional Rail Lines. Proccedings of 10th International Conference "Environmental Engineering". 2017; ():1.

Chicago/Turabian Style

Marilisa Botte; Domenico Puca; Bruno Montella; Luca D'acierno. 2017. "An Innovative Methodology for Managing Service Disruptions on Regional Rail Lines." Proccedings of 10th International Conference "Environmental Engineering" , no. : 1.

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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In recent years the growing interest in environmental issues has prompted researchers to investigate two main areas in the field of rail systems: how to improve performance in order to attract users from other transport modes with greater environmental impacts (such as private cars) and how to reduce energy consumption. On the latter issue, some procedures have been developed for determining suitable `green' driving profiles which are, however, subject to greater travel times. Since precise quantification is critically important, in this paper we propose an approach to determining all operational times analytically, including reserve times. Finally, the methodology is applied in the case of a real metro line for validating the proposal.

ACS Style

Luca D'Acierno; Marilisa Botte; Bruno Montella. An analytical approach for determining reserve times on metro systems. 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

Luca D'Acierno, Marilisa Botte, Bruno Montella. An analytical approach for determining reserve times on metro systems. 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

Luca D'Acierno; Marilisa Botte; Bruno Montella. 2017. "An analytical approach for determining reserve times on metro systems." 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.

Original research papers
Published: 27 May 2017 in Urban Rail Transit
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The importance of a mobility system based on railway technology as the backbone of public transport is now widely acknowledged. Indeed, rail systems are green, high performing, smart and able to ensure a high degree of safety. Therefore, modal split should be steered towards rail transport by increasing the attractiveness of this transport mode. In this context, a key element is represented by the timetabling design phase, which must aim to guarantee an appropriate degree of robustness of rail operations in order to ensure a high degree of system reliability and increase service quality. A crucial factor in the task of timetabling entails evaluating dwell times at stations. The innovative feature of this paper is the analytical definition of dwell times as flow dependent. Our proposal is based on estimating dwell times according to the crowding level at platforms and related interaction between passengers and the rail service in terms of user behaviour when a train arrives. An application in the case of a real metro system is provided in order to show the feasibility of the proposed approach.

ACS Style

Luca D’Acierno; Marilisa Botte; Antonio Placido; Chiara Caropreso; Bruno Montella. Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services. Urban Rail Transit 2017, 3, 73 -89.

AMA Style

Luca D’Acierno, Marilisa Botte, Antonio Placido, Chiara Caropreso, Bruno Montella. Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services. Urban Rail Transit. 2017; 3 (2):73-89.

Chicago/Turabian Style

Luca D’Acierno; Marilisa Botte; Antonio Placido; Chiara Caropreso; Bruno Montella. 2017. "Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services." Urban Rail Transit 3, no. 2: 73-89.

Journal article
Published: 15 January 2017 in International Journal of Transport Development and Integration
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Promoting rail systems can represent a useful policy for rebalancing modal choices and reducing private car use, especially in high-density contexts....

ACS Style

C. Caropreso; C. Di Salvo; Marilisa Botte; Luca D'Acierno. A long-term analysis of passenger flows on a regional rail line. International Journal of Transport Development and Integration 2017, 1, 329 -338.

AMA Style

C. Caropreso, C. Di Salvo, Marilisa Botte, Luca D'Acierno. A long-term analysis of passenger flows on a regional rail line. International Journal of Transport Development and Integration. 2017; 1 (3):329-338.

Chicago/Turabian Style

C. Caropreso; C. Di Salvo; Marilisa Botte; Luca D'Acierno. 2017. "A long-term analysis of passenger flows on a regional rail line." International Journal of Transport Development and Integration 1, no. 3: 329-338.

Journal article
Published: 15 January 2017 in International Journal of Transport Development and Integration
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The planning of a rail system requires the definition of travel demand in terms of passenger (or freight) flows for sizing physical and technological...

ACS Style

R. Di Mauro; Marilisa Botte; Luca D'Acierno. An analytical methodology for extending passenger counts in a metro system. International Journal of Transport Development and Integration 2017, 1, 589 -600.

AMA Style

R. Di Mauro, Marilisa Botte, Luca D'Acierno. An analytical methodology for extending passenger counts in a metro system. International Journal of Transport Development and Integration. 2017; 1 (3):589-600.

Chicago/Turabian Style

R. Di Mauro; Marilisa Botte; Luca D'Acierno. 2017. "An analytical methodology for extending passenger counts in a metro system." International Journal of Transport Development and Integration 1, no. 3: 589-600.