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A Methodology for Long-Term Analysis of Innovative Signalling Systems on Regional Rail Lines

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
International Conference on Environment and Electrical Engineering EEEIC (16 ; 06-08.06.2016 ; Florence, Italy)
Języki publikacji
EN
Abstrakty
EN
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 particular, since travellers maximise their own utility, variations in mobility choices can be induced only by significantly improving the level-of-service of public transport. Our specific proposal is to identify the economic and environmental effects of implementing an innovative signalling system (which would reduce passenger waiting times) by performing a cost-benefit analysis based on a feasibility threshold approach. Hence, it is necessary to calculate long-term benefits and compare them with intervention costs. In this context, a key factor to be considered is travel demand estimation in current and future conditions. This approach was tested on a regional rail line in southern Italy to show the feasibility and utility of the proposed methodology.
Rocznik
Strony
77--85
Opis fizyczny
Bibliogr. 34 poz., rys., tab.
Twórcy
  • Department of Civil, Architectural and Environmental Engineering, Federico II University of Naples, via Claudio 21, Naples, 80125 Italy
autor
  • Department of Civil, Architectural and Environmental Engineering, Federico II University of Naples, via Claudio 21, Naples, 80125 Italy
autor
  • GE Oil&Gas, via Cassano 77, Casavatore (Naples), 80020 Italy
autor
  • Department of Civil, Architectural and Environmental Engineering, Federico II University of Naples, via Claudio 21, Naples, 80125 Italy
autor
  • Department of Civil, Architectural and Environmental Engineering, Federico II University of Naples, via Claudio 21, Naples, 80125 Italy
Bibliografia
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  • [14] H.-P. Lo and C.-P. Chan, “Simultaneous estimation of an origin-destination matrix and link choice proportions using traffic counts”, Transportation Research Part A, vol. 37, no. 9, pp. 771–788, 2003.
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  • [16] C.-C. Lu, X. Zhou and K. Zhang, “Dynamic origin-destination demand flow estimation under congested traffic conditions”, Transportation Research Part C, vol. 34, pp. 16–37, 2013.
  • [17] L. D’Acierno, M. Gallo, B. Montella and A. Placido, “The definition of a model framework for managing rail systems in the case of breakdowns”, in Proc. IEEE ITSC 2013, The Hague, The Netherlands, pp. 1059-1064, 2013.
  • [18] L. D’Acierno, A. Placido, M. Botte and B. Montella, “A methodological approach for managing rail disruptions with different perspectives”, International Journal of Mathematical Models and Methods in Applied Sciences, vol. 10, pp. 80–86, 2016.
  • [19] R. Prinz, B. Sewcyk and M. Kettner, “NEMO: Network Evaluation Model for the Austrian railroad (ÖBB)”, Eisenbahntechnische Rundschau, vol. 50, no. 3, pp. 117–121, 2001.
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  • [24] E. Quaglietta, “A microscopic simulation model for supporting the design of railway systems: Development and applications”, Ph.D. dissertation, Federico II University of Naples, Naples, Italy, 2011.
  • [25] G.E. Cantarella, “A general fixed-point approach to multimodal multi-user equilibrium assignment with elastic demand”, Transportation Science, vol. 31, no. 2, pp. 107–128, 1997.
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  • [27] M. Ercolani, A. Placido, L. D’Acierno and B. Montella, “The use of microsimulation models for the planning and management of metro systems”, WIT Transactions on the Built Environment, vol. 135, pp. 509–521, 2014.
  • [28] Istituto Nazionale di Statistica – ISTAT (Italian National Institute of Statistics). Population and housing census. Available: http://www.istat.it/it/censimento-popolazione (last access: September 2016).
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  • [31] B. Montella, L. D’Acierno and M. Gallo, “A multimodal approach for determining optimal public transport fares”, Journal of Applied Sciences, vol. 14, no. 21, pp. 2767–2781, 2014.
  • [32] M. Gallo, B. Montella and L. D’Acierno, “The transit network design problem with elastic demand and internalisation of external costs: An application to rail frequency optimisation,” Transportation Research Part C, vol. 19, no. 6, pp. 1276–1305, 2011.
  • [33] L. D’Acierno, M. Gallo and B. Montella, “Application of metaheuristics to large-scale transportation problems”, Lecture Notes in Computer Science, vol. 8353, pp. 215–222, 2014.
  • [34] M. Botte, C. Di Salvo, A. Placido, B. Montella and L. D’Acierno, “A Neighbourhood Search Algorithm for determining optimal intervention strategies in the case of metro system failures”, International Journal of Transport Development and Integration, vol. 1, no. 1, pp. 63–73, 2017.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5529290a-06d3-42c5-88bd-8df56b79f578
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