IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i24p6575-d461550.html
   My bibliography  Save this article

Slope Optimization (or “Sloop”): Customized Optimization for Road Longitudinal Profile Eco-Design

Author

Listed:
  • Pierre-Olivier Vandanjon

    (AME-EASE, Université Gustave Eiffel, IFSTTAR, F-44344 Bouguenais, France)

  • Emmanuel Vinot

    (AME-ECO7, Université Gustave Eiffel, IFSTTAR, University of Lyon, F-69675 Bron, France)

Abstract

Current transportation systems contributed to one quarter to the Greenhouse Gases (GhG) emissions and the mobility demand increases continuously. The transportation infrastructure design has to be optimized to mitigate these emissions. The methodology “Sloop” (acronym for Slope Optimization) has recently been set up to optimize the longitudinal road profile with respect to a Global Warming Potential (GWP) criterion calculated for both the construction and operational phases while incorporating accurate vehicle models. This paper proposes a customized optimization strategy that significantly improves the Sloop methodology. From an initial longitudinal profile generated by road designers, our algorithm identifies the optimized profile in terms of GWP. This optimization step is complex due to the large number of degrees of freedom, along with various constraints to obtaining a feasible solution and the computational cost of the operational phase assessment. The most stringent constraint entails connecting the profile with the existing road (i.e., a constraint on the final profile altitude). We have developed a specific algorithm based on the Sequential Quadratic Programming (SQP) method; this algorithm takes into account the quasi-quadratic nature of the constraint on the final altitude. In a real case study, our algorithm outputs a profile whose GWP assessment saves 4% compared to the GWP assessment of the initial profile. The benefit of our specific protocol for treating the final altitude constraint is demonstrated in this example. By means of this new efficient and open-box algorithm, profile evolution at each iteration is analyzed to determine the most sensitive degrees of freedom, and the sensitivity of the optimization with respect to the main construction parameters and traffic assumptions are conducted. The results are consistent and stable.

Suggested Citation

  • Pierre-Olivier Vandanjon & Emmanuel Vinot, 2020. "Slope Optimization (or “Sloop”): Customized Optimization for Road Longitudinal Profile Eco-Design," Energies, MDPI, vol. 13(24), pages 1-21, December.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6575-:d:461550
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/24/6575/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/24/6575/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sina, Naser & Nasiri, Sayyad & Karkhaneh, Vahid, 2015. "Effects of resistive loads and tire inflation pressure on tire power losses and CO2 emissions in real-world conditions," Applied Energy, Elsevier, vol. 157(C), pages 974-983.
    2. Costagliola, Maria Antonietta & Costabile, Marianeve & Prati, Maria Vittoria, 2018. "Impact of road grade on real driving emissions from two Euro 5 diesel vehicles," Applied Energy, Elsevier, vol. 231(C), pages 586-593.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Andrzej Wasiak & Katarzyna Botwińska & Arkadiusz Gola, 2019. "Simulation of the Operation of a Spark Ignition Engine Fueled with Various Biofuels and Its Contribution to Technology Management," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    2. Han, Zhongliang & Xu, Nan & Chen, Hong & Huang, Yanjun & Zhao, Bin, 2018. "Energy-efficient control of electric vehicles based on linear quadratic regulator and phase plane analysis," Applied Energy, Elsevier, vol. 213(C), pages 639-657.
    3. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2021. "Effects of passenger load, road grade, and congestion level on real-world fuel consumption and emissions from compressed natural gas and diesel urban buses," Applied Energy, Elsevier, vol. 282(PB).
    4. Fan, Pengfei & Yin, Hang & Lu, Hongyu & Wu, Yizheng & Zhai, Zhiqiang & Yu, Lei & Song, Guohua, 2023. "Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis," Energy Policy, Elsevier, vol. 182(C).
    5. Chen, Guanpeng & Jiang, Yue & Tang, Yuanjiang & Xu, Xiaojun, 2023. "Pitch stability control of variable wheelbase 6WID unmanned ground vehicle considering tire slip energy loss and energy-saving suspension control," Energy, Elsevier, vol. 264(C).
    6. Alexandros T. Zachiotis & Evangelos G. Giakoumis, 2021. "Monte Carlo Simulation Methodology to Assess the Impact of Ambient Wind on Emissions from a Light-Commercial Vehicle Running on the Worldwide-Harmonized Light-Duty Vehicles Test Cycle (WLTC)," Energies, MDPI, vol. 14(3), pages 1-24, January.
    7. Mera, Zamir & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2019. "Analysis of the high instantaneous NOx emissions from Euro 6 diesel passenger cars under real driving conditions," Applied Energy, Elsevier, vol. 242(C), pages 1074-1089.
    8. Pavlovic, J. & Ciuffo, B. & Fontaras, G. & Valverde, V. & Marotta, A., 2018. "How much difference in type-approval CO2 emissions from passenger cars in Europe can be expected from changing to the new test procedure (NEDC vs. WLTP)?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 136-147.
    9. Shafaei, S.M. & Mousazadeh, H., 2023. "Motion energy perspective of tracked locomotion system of autonomous tractor-trailer robot," Energy, Elsevier, vol. 264(C).
    10. Küng, Lukas & Bütler, Thomas & Georges, Gil & Boulouchos, Konstantinos, 2019. "How much energy does a car need on the road?," Applied Energy, Elsevier, vol. 256(C).
    11. Pavlovic, Jelica & Marotta, Alessandro & Ciuffo, Biagio, 2016. "CO2 emissions and energy demands of vehicles tested under the NEDC and the new WLTP type approval test procedures," Applied Energy, Elsevier, vol. 177(C), pages 661-670.
    12. Barouch Giechaskiel & Dimitrios Komnos & Georgios Fontaras, 2021. "Impacts of Extreme Ambient Temperatures and Road Gradient on Energy Consumption and CO 2 Emissions of a Euro 6d-Temp Gasoline Vehicle," Energies, MDPI, vol. 14(19), pages 1-20, September.
    13. Piotr Pryciński & Róża Wawryszczuk & Jarosław Korzeb & Piotr Pielecha, 2023. "Indicator Method for Determining the Emissivity of Road Transport Means from the Point of Supplied Energy," Energies, MDPI, vol. 16(12), pages 1-22, June.
    14. Barouch Giechaskiel & Victor Valverde & Anastasios Melas & Michaël Clairotte & Pierre Bonnel & Panagiota Dilara, 2024. "Comparison of the Real-Driving Emissions (RDE) of a Gasoline Direct Injection (GDI) Vehicle at Different Routes in Europe," Energies, MDPI, vol. 17(6), pages 1-19, March.
    15. Jingeun Song & Junepyo Cha, 2021. "Analysis of Driving Dynamics Considering Driving Resistances in On-Road Driving," Energies, MDPI, vol. 14(12), pages 1-16, June.
    16. Banglin Deng & Weijiao Yu & Lili Zhou & Chengqi Sun, 2023. "A Comparative Investigation of the Emissions of a Heavy-Duty Diesel Engine under World Harmonized Transient Cycle and Road Spectrum Cycle," Energies, MDPI, vol. 17(1), pages 1-18, December.
    17. Kangjin Kim & Wonyong Chung & Myungsoo Kim & Charyung Kim & Cha-Lee Myung & Simsoo Park, 2020. "Inspection of PN, CO 2 , and Regulated Gaseous Emissions Characteristics from a GDI Vehicle under Various Real-World Vehicle Test Modes," Energies, MDPI, vol. 13(10), pages 1-17, May.
    18. Stef, Nicolae & Başağaoğlu, Hakan & Chakraborty, Debaditya & Ben Jabeur, Sami, 2023. "Does institutional quality affect CO2 emissions? Evidence from explainable artificial intelligence models," Energy Economics, Elsevier, vol. 124(C).
    19. Francesco Pilati & Riccardo Tronconi, 2024. "Tri-Objective Vehicle Routing Problem to Optimize the Distribution Process of Sustainable Local E-Commerce Platforms," Sustainability, MDPI, vol. 16(5), pages 1-36, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6575-:d:461550. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.