Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Luca D'Acierno"'
Publikováno v:
International Journal of Supply and Operations Management, Vol 6, Iss 2, Pp 126-141 (2019)
In this paper a general methodology is proposed for reducing computing times in procedures for solving RNDPs. Extensively studied in the literature, such problems concern the design of road networks, in terms of flow directions, capacity expansion an
Externí odkaz:
https://doaj.org/article/169ff2b9a8974b4b8fd8d54b838047f3
Autor:
Marilisa Botte, Luca D’Acierno
Publikováno v:
Urban Rail Transit, Vol 4, Iss 4, Pp 163-197 (2018)
Abstract 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 isolat
Externí odkaz:
https://doaj.org/article/f2c09629436b40f5a4c3e14b8bfdceeb
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The use of Building Information Modelling (BIM) is becoming increasingly adopted worldwide to support the creation and management of digital environments in which physical and functional features of a facility are modelled. Due to its characteristic
Externí odkaz:
https://doaj.org/article/f8009e75df5c4b7abdc87ba6c5209e1e
Publikováno v:
Urban Rail Transit, Vol 3, Iss 2, Pp 73-89 (2017)
Abstract 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, mod
Externí odkaz:
https://doaj.org/article/4147651d0fb0456db72524039685b0d1
Publikováno v:
International Journal of Supply and Operations Management, Vol 3, Iss 3, Pp 1351-1372 (2016)
In this paper, we propose a sensitivity analysis for evaluating the effectiveness of recovery solutions in the case of disturbed rail operations. Indeed, when failures or breakdowns occur during daily service, new strategies have to be implemented so
Externí odkaz:
https://doaj.org/article/4c04340b834b4684a549722f398e13e7
Publikováno v:
Transactions on Environment and Electrical Engineering, Vol 1, Iss 3, Pp 77-85 (2016)
A rail system may be considered a useful tool for reducing vehicular flows on a road system (i.e. cars and trucks), especially in high-density contexts such as urban and metropolitan areas where greenhouse gas emissions need to be abated. In particul
Externí odkaz:
https://doaj.org/article/04457995ac444ce9804f22bb216c3613
Publikováno v:
Energies, Vol 13, Iss 22, p 6038 (2020)
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
Externí odkaz:
https://doaj.org/article/bb2122f413cf4e7aa6c28d4117450c89
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5698 (2020)
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 tim
Externí odkaz:
https://doaj.org/article/38165593569c4b2fa4c8a1d5ee775530
Autor:
Luca D’Acierno, Marilisa Botte
Publikováno v:
Energies, Vol 13, Iss 10, p 2403 (2020)
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
Externí odkaz:
https://doaj.org/article/910c903d052a44ff96ae67a81927578a
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
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 compa
Externí odkaz:
https://doaj.org/article/cda76bbd315c49d3aee50a6c9b691b8a