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Definition of energy-efficient speed profiles within rail traffic by means of supply design models

Author

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  • De Martinis, Valerio
  • Weidmann, Ulrich A.

Abstract

Nowadays, energy efficiency is a key requirement for railway systems in order to reduce operating costs. One of the main solutions for implementing energy efficiency is the optimization of train speed profiles to minimize tractive energy consumption. From a transportation systems point of view, the definition of optimized speed profiles should consider their possible impact on rail traffic flows, in order to evaluate their feasibility. To do so, an innovative optimization framework for the definition and the evaluation of energy efficient speed profiles, based on supply design modelling, is proposed. The framework operates on two levels: the first level generates energy efficient speed profiles with respect to timetable constraints, infrastructure characteristics and rolling stock features, and the second simulates these speed profiles on the rail network within the specific rail traffic conditions. Through this new integrated view, the evaluation of the proposed optimal speed profiles can fully take into account the operational requirements of the services, such as trains scheduling, absence of or small allowance for delays and respect for buffer times for passenger transfer at connecting stations. A numerical example based on a calibrated simulation model of the suburban S-Bahn S9 line that operates in the Canton of Zurich shows how energy efficient speed profiles can be defined considering the rail traffic influences, thus increasing the quality of the solutions.

Suggested Citation

  • De Martinis, Valerio & Weidmann, Ulrich A., 2015. "Definition of energy-efficient speed profiles within rail traffic by means of supply design models," Research in Transportation Economics, Elsevier, vol. 54(C), pages 41-50.
    • Handle: RePEc:eee:retrec:v:54:y:2015:i:c:p:41-50
    DOI: 10.1016/j.retrec.2015.10.024
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    References listed on IDEAS

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    1. Liu, Rongfang (Rachel) & Golovitcher, Iakov M., 2003. "Energy-efficient operation of rail vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 917-932, December.
    2. Ennio Cascetta, 2009. "Transportation Supply Design Models," Springer Optimization and Its Applications, in: Transportation Systems Analysis, chapter 0, pages 589-620, Springer.
    3. Li, Xiang & Lo, Hong K., 2014. "Energy minimization in dynamic train scheduling and control for metro rail operations," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 269-284.
    4. Phil Howlett, 2000. "The Optimal Control of a Train," Annals of Operations Research, Springer, vol. 98(1), pages 65-87, December.
    5. Ennio Cascetta, 2009. "Transportation Supply Models," Springer Optimization and Its Applications, in: Transportation Systems Analysis, chapter 0, pages 29-88, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Luca D’Acierno & Marilisa Botte, 2018. "A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts," Energies, MDPI, vol. 11(11), pages 1-25, October.
    2. Arkadiusz Kampczyk & Wojciech Gamon & Katarzyna Gawlak, 2023. "Integration of Traction Electricity Consumption Determinants with Route Geometry and Vehicle Characteristics," Energies, MDPI, vol. 16(6), pages 1-23, March.
    3. Pier Giuseppe Sessa & Valerio Martinis & Axel Bomhauer-Beins & Ulrich Alois Weidmann & Francesco Corman, 2021. "A hybrid stochastic approach for offline train trajectory reconstruction," Public Transport, Springer, vol. 13(3), pages 675-698, October.

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    More about this item

    Keywords

    Railway systems; Energy efficiency; Supply design modelling;
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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